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37th AAAI 2023: Washington, DC, USA
- Brian Williams, Yiling Chen, Jennifer Neville:
Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023. AAAI Press 2023, ISBN 978-1-57735-880-0
AAAI Technical Track on Cognitive Modeling & Cognitive Systems
- Hasra Dodampegama, Mohan Sridharan:
Back to the Future: Toward a Hybrid Architecture for Ad Hoc Teamwork. 3-10 - Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu:
Reducing ANN-SNN Conversion Error through Residual Membrane Potential. 11-21 - Wentao He
, Jialu Zhang, Jianfeng Ren, Ruibin Bai, Xudong Jiang:
Hierarchical ConViT with Attention-Based Relational Reasoner for Visual Analogical Reasoning. 22-30 - Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian:
Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse. 31-39 - Stephen Keeley, Benjamin Letham, Craig Sanders, Chase Tymms, Michael Shvartsman:
A Semi-parametric Model for Decision Making in High-Dimensional Sensory Discrimination Tasks. 40-47 - Taewoon Kim
A Machine with Short-Term, Episodic, and Semantic Memory Systems. 48-56 - Yaman Kumar, Rajat Jha, Arunim Gupta, Milan Aggarwal, Aditya Garg, Tushar Malyan, Ayush Bhardwaj, Rajiv Ratn Shah, Balaji Krishnamurthy, Changyou Chen:
Persuasion Strategies in Advertisements. 57-66 - Hanting Li, Hongjing Niu, Zhaoqing Zhu, Feng Zhao:
Intensity-Aware Loss for Dynamic Facial Expression Recognition in the Wild. 67-75 - Pritam Sarkar, Aaron Posen, Ali Etemad:
AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work. 76-85 - Jiangrong Shen, Qi Xu, Jian K. Liu
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks. 86-93 - Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu:
Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs. 94-101 - Qingyu Wang, Tielin Zhang, Minglun Han
Complex Dynamic Neurons Improved Spiking Transformer Network for Efficient Automatic Speech Recognition. 102-109 - Shanshan Wang, Zhen Zeng, Xun Yang, Xingyi Zhang:
Self-Supervised Graph Learning for Long-Tailed Cognitive Diagnosis. 110-118 - Mengting Wei, Xingxun Jiang, Wenming Zheng, Yuan Zong, Cheng Lu, Jiateng Liu:
CMNet: Contrastive Magnification Network for Micro-Expression Recognition. 119-127 - Benedict Wilkins, Kostas Stathis
Disentangling Reafferent Effects by Doing Nothing. 128-136 - Jiyuan Zhang, Shanshan Jia, Zhaofei Yu, Tiejun Huang:
Learning Temporal-Ordered Representation for Spike Streams Based on Discrete Wavelet Transforms. 137-147 - Ruizhe Zheng, Jun Li, Yi Wang, Tian Luo, Yuguo Yu:
ScatterFormer: Locally-Invariant Scattering Transformer for Patient-Independent Multispectral Detection of Epileptiform Discharges. 148-158
AAAI Technical Track on Computer Vision I
- Amro Abbas, Stéphane Deny:
Progress and Limitations of Deep Networks to Recognize Objects in Unusual Poses. 160-168 - Sumyeong Ahn, Se-Young Yun:
Denoising after Entropy-Based Debiasing a Robust Training Method for Dataset Bias with Noisy Labels. 169-177 - Naveed Akhtar, Mohammad Amir Asim Khan Jalwana:
Rethinking Interpretation: Input-Agnostic Saliency Mapping of Deep Visual Classifiers. 178-186 - Jinwoo Bae, Sungho Moon, Sunghoon Im:
Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation. 187-196 - Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun:
Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network. 197-205 - Yue Bai, Dipu Manandhar, Zhaowen Wang, John P. Collomosse, Yun Fu:
Layout Representation Learning with Spatial and Structural Hierarchies. 206-214 - Peijun Bao, Wenhan Yang, Boon Poh Ng, Meng Hwa Er, Alex C. Kot:
Cross-Modal Label Contrastive Learning for Unsupervised Audio-Visual Event Localization. 215-222 - Suvaansh Bhambri, Byeonghwi Kim, Jonghyun Choi:
Multi-Level Compositional Reasoning for Interactive Instruction Following. 223-231 - Xiuli Bi, Wuqing Yan, Bo Liu, Bin Xiao, Weisheng Li, Xinbo Gao:
Self-Supervised Image Local Forgery Detection by JPEG Compression Trace. 232-240 - Yonatan Bitton, Ron Yosef, Eliyahu Strugo, Dafna Shahaf, Roy Schwartz, Gabriel Stanovsky:
VASR: Visual Analogies of Situation Recognition. 241-249 - Pingping Cai
Parametric Surface Constrained Upsampler Network for Point Cloud. 250-258 - Yiqing Cai
Explicit Invariant Feature Induced Cross-Domain Crowd Counting. 259-267 - Junyan Cao, Yan Hong, Li Niu:
Painterly Image Harmonization in Dual Domains. 268-276 - Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Zhen Li, Yonghui Xu:
MMTN: Multi-Modal Memory Transformer Network for Image-Report Consistent Medical Report Generation. 277-285 - Zhen Cao
KT-Net: Knowledge Transfer for Unpaired 3D Shape Completion. 286-294 - Dubing Chen, Yuming Shen, Haofeng Zhang, Philip H. S. Torr:
Deconstructed Generation-Based Zero-Shot Model. 295-303 - Jiayi Chen, Mi Yan, Jiazhao Zhang, Yinzhen Xu, Xiaolong Li, Yijia Weng, Li Yi, Shuran Song, He Wang:
Tracking and Reconstructing Hand Object Interactions from Point Cloud Sequences in the Wild. 304-312 - Junjie Chen, Li Niu, Jianfu Zhang, Jianlou Si, Chen Qian, Liqing Zhang:
Amodal Instance Segmentation via Prior-Guided Expansion. 313-321 - Lei Chen, Fei Du, Yuan Hu, Zhibin Wang, Fan Wang:
SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather Forecasting. 322-330 - Rongshan Chen, Hao Sheng, Da Yang, Sizhe Wang, Zhenglong Cui, Ruixuan Cong:
Take Your Model Further: A General Post-refinement Network for Light Field Disparity Estimation via BadPix Correction. 331-339 - Rufeng Chen, Bolun Zheng, Hua Zhang, Quan Chen, Chenggang Yan, Gregory G. Slabaugh, Shanxin Yuan:
Improving Dynamic HDR Imaging with Fusion Transformer. 340-349 - Shiyan Chen, Zhaofei Yu, Tiejun Huang:
Self-Supervised Joint Dynamic Scene Reconstruction and Optical Flow Estimation for Spiking Camera. 350-358 - Shuo Chen, Binbin Yan, Xinzhu Sang, Duo Chen, Peng Wang, Xiao Guo, Chongli Zhong
Bidirectional Optical Flow NeRF: High Accuracy and High Quality under Fewer Views. 359-368 - Wen-Cheng Chen, Chu-Song Chen, Wei-Chen Chiu, Min-Chun Hu:
Scalable Spatial Memory for Scene Rendering and Navigation. 369-377 - Xiang Chen, Jinshan Pan, Jiyang Lu, Zhentao Fan, Hao Li:
Hybrid CNN-Transformer Feature Fusion for Single Image Deraining. 378-386 - Yingxian Chen, Zhengzhe Liu, Baoheng Zhang, Wilton W. T. Fok, Xiaojuan Qi, Yik-Chung Wu:
MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection. 387-395 - Yizhen Chen, Jie Wang, Lijian Lin, Zhongang Qi, Jin Ma, Ying Shan:
Tagging before Alignment: Integrating Multi-Modal Tags for Video-Text Retrieval. 396-404 - Zhuo Chen, Yufeng Huang, Jiaoyan Chen, Yuxia Geng, Wen Zhang, Yin Fang, Jeff Z. Pan, Huajun Chen:
DUET: Cross-Modal Semantic Grounding for Contrastive Zero-Shot Learning. 405-413 - Zihan Chen, Ziyue Wang, Jun-Jie Huang, Wentao Zhao, Xiao Liu, Dejian Guan:
Imperceptible Adversarial Attack via Invertible Neural Networks. 414-424 - De Cheng, Xiaolong Wang, Nannan Wang, Zhen Wang
Cross-Modality Person Re-identification with Memory-Based Contrastive Embedding. 425-432 - Jiaxin Cheng, Yue Wu, Ayush Jaiswal, Xu Zhang, Pradeep Natarajan, Prem Natarajan:
User-Controllable Arbitrary Style Transfer via Entropy Regularization. 433-441 - Zhi Cheng, Yanxi Li, Minjing Dong
Neural Architecture Search for Wide Spectrum Adversarial Robustness. 442-451 - Qiaosong Chu, Shuyan Li, Guangyi Chen, Kai Li, Xiu Li:
Adversarial Alignment for Source Free Object Detection. 452-460 - Peishan Cong, Yiteng Xu, Yiming Ren, Juze Zhang, Lan Xu, Jingya Wang, Jingyi Yu, Yuexin Ma:
Weakly Supervised 3D Multi-Person Pose Estimation for Large-Scale Scenes Based on Monocular Camera and Single LiDAR. 461-469 - Mingyue Cui, Junhua Long, Mingjian Feng, Boyang Li, Kai Huang:
OctFormer: Efficient Octree-Based Transformer for Point Cloud Compression with Local Enhancement. 470-478 - Yuning Cui, Yi Tao, Wenqi Ren, Alois Knoll:
Dual-Domain Attention for Image Deblurring. 479-487 - Yaqiao Dai, Renjiao Yi, Chenyang Zhu, Hongjun He, Kai Xu:
Multi-Resolution Monocular Depth Map Fusion by Self-Supervised Gradient-Based Composition. 488-496 - Jiangfan Deng, Dewen Fan, Xiaosong Qiu, Feng Zhou:
Improving Crowded Object Detection via Copy-Paste. 497-505 - Khoa D. Doan, Yingjie Lao, Peng Yang, Ping Li:
Defending Backdoor Attacks on Vision Transformer via Patch Processing. 506-515 - Bo Dong, Pichao Wang, Fan Wang:
Head-Free Lightweight Semantic Segmentation with Linear Transformer. 516-524 - Jianfeng Dong, Shengkai Sun, Zhonglin Liu, Shujie Chen, Baolong Liu, Xun Wang:
Hierarchical Contrast for Unsupervised Skeleton-Based Action Representation Learning. 525-533 - Lintao Dong, Wei Zhai, Zheng-Jun Zha:
Exploring Tuning Characteristics of Ventral Stream's Neurons for Few-Shot Image Classification. 534-542 - Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee:
Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning. 543-551 - Xiaoyi Dong, Jianmin Bao, Ting Zhang, Dongdong Chen, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, Nenghai Yu, Baining Guo:
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers. 552-560 - Zhipeng Du, Jiankang Deng, Miaojing Shi:
Domain-General Crowd Counting in Unseen Scenarios. 561-570 - Yuxuan Duan, Yan Hong, Li Niu, Liqing Zhang:
Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation. 571-578 - Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen, Yu Cheng, Lu Yuan, Yu-Chiang Frank Wang:
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis. 579-587 - Wan-Cyuan Fan, Cheng-Fu Yang, Chiao-An Yang, Yu-Chiang Frank Wang:
Target-Free Text-Guided Image Manipulation. 588-596 - Shuangkang Fang, Weixin Xu, Heng Wang, Yi Yang, Yufeng Wang, Shuchang Zhou:
One Is All: Bridging the Gap between Neural Radiance Fields Architectures with Progressive Volume Distillation. 597-605 - Zijie Fang, Yang Chen, Yifeng Wang, Zhi Wang, Xiangyang Ji, Yongbing Zhang:
Weakly-Supervised Semantic Segmentation for Histopathology Images Based on Dataset Synthesis and Feature Consistency Constraint. 606-613 - Zhengcong Fei, Mingyuan Fan, Li Zhu, Junshi Huang, Xiaoming Wei, Xiaolin Wei:
Uncertainty-Aware Image Captioning. 614-622 - Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Xin Zhao, Zongyuan Ge:
Unsupervised Domain Adaptation for Medical Image Segmentation by Selective Entropy Constraints and Adaptive Semantic Alignment. 623-631 - Xiaoyu Feng, Heming Du, Hehe Fan, Yueqi Duan, Yongpan Liu:
SEFormer: Structure Embedding Transformer for 3D Object Detection. 632-640 - Yuan Gao, Zilei Wang, Jiafan Zhuang, Yixin Zhang, Junjie Li:
Exploit Domain-Robust Optical Flow in Domain Adaptive Video Semantic Segmentation. 641-649 - Ce Ge
Scene-Level Sketch-Based Image Retrieval with Minimal Pairwise Supervision. 650-657 - Chunjiang Ge, Shiji Song, Gao Huang:
Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism. 658-666 - Yongtao Ge, Qiang Zhou, Xinlong Wang, Chunhua Shen, Zhibin Wang, Hao Li:
Point-Teaching: Weakly Semi-supervised Object Detection with Point Annotations. 667-675 - Xuan Gong, Liangchen Song, Meng Zheng, Benjamin Planche, Terrence Chen, Junsong Yuan, David S. Doermann, Ziyan Wu:
Progressive Multi-View Human Mesh Recovery with Self-Supervision. 676-684 - Yi Gu, Chao Wang, Jie Li:
Incremental Image De-raining via Associative Memory. 685-693 - Zhihao Guan, Ruixin Liu, Zejian Yuan, Ao Liu, Kun Tang, Tong Zhou, Erlong Li, Chao Zheng, Shuqi Mei:
Flexible 3D Lane Detection by Hierarchical Shape Matching. 694-701 - Chunle Guo, Ruiqi Wu, Xin Jin, Linghao Han, Weidong Zhang, Zhi Chai, Chongyi Li:
Underwater Ranker: Learn Which Is Better and How to Be Better. 702-709 - Lanqing Guo, Siyu Huang
ShadowFormer: Global Context Helps Shadow Removal. 710-718 - Longwei Guo, Hao Zhu, Yuanxun Lu, Menghua Wu, Xun Cao:
RAFaRe: Learning Robust and Accurate Non-parametric 3D Face Reconstruction from Pseudo 2D&3D Pairs. 719-727 - Qianyu Guo, Haotong Gong, Xujun Wei, Yanwei Fu, Yizhou Yu, Wenqiang Zhang, Weifeng Ge:
RankDNN: Learning to Rank for Few-Shot Learning. 728-736 - Yunfei Guo, Fei Yin, Wei Feng, Xudong Yan, Tao Xue, Shuqi Mei, Cheng-Lin Liu:
Social Relation Reasoning Based on Triangular Constraints. 737-745 - Ziyu Guo, Renrui Zhang, Longtian Qiu, Xianzheng Ma, Xupeng Miao, Xuming He, Bin Cui:
CALIP: Zero-Shot Enhancement of CLIP with Parameter-Free Attention. 746-754 - Jiaming Han, Yuqiang Ren, Jian Ding, Ke Yan, Gui-Song Xia:
Few-Shot Object Detection via Variational Feature Aggregation. 755-763 - Bangyan He, Jian Liu, Yiming Li, Siyuan Liang, Jingzhi Li, Xiaojun Jia, Xiaochun Cao:
Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization. 764-772 - Kaijie He, Canlong Zhang, Sheng Xie, Zhixin Li, Zhiwen Wang:
Target-Aware Tracking with Long-Term Context Attention. 773-780 - Ruozhen He, Qihua Dong
Weakly-Supervised Camouflaged Object Detection with Scribble Annotations. 781-789 - Ruozhen He, Jiaying Lin
Efficient Mirror Detection via Multi-Level Heterogeneous Learning. 790-798 - Sifeng He, Yue He, Minlong Lu, Chen Jiang
TransVCL: Attention-Enhanced Video Copy Localization Network with Flexible Supervision. 799-807 - Sunan He, Taian Guo, Tao Dai, Ruizhi Qiao, Xiujun Shu, Bo Ren, Shu-Tao Xia:
Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer. 808-816 - Xuehai He, Chunyuan Li, Pengchuan Zhang, Jianwei Yang, Xin Eric Wang:
Parameter-Efficient Model Adaptation for Vision Transformers. 817-825 - Yuze He
DarkFeat: Noise-Robust Feature Detector and Descriptor for Extremely Low-Light RAW Images. 826-834 - Haotian Hu, Fanyi Wang, Zhiwang Zhang, Yaonong Wang, Laifeng Hu, Yanhao Zhang:
GAM: Gradient Attention Module of Optimization for Point Clouds Analysis. 835-843 - Liang Hu, Dora D. Liu, Qi Zhang, Usman Naseem
Self-Supervised Learning for Multilevel Skeleton-Based Forgery Detection via Temporal-Causal Consistency of Actions. 844-853 - Lianyu Hu, Liqing Gao, Zekang Liu, Wei Feng:
Self-Emphasizing Network for Continuous Sign Language Recognition. 854-862 - Mengshun Hu, Kui Jiang, Zhixiang Nie, Jiahuan Zhou, Zheng Wang:
Store and Fetch Immediately: Everything Is All You Need for Space-Time Video Super-resolution. 863-871 - Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples. 872-880 - Xiaobin Hu, Shuo Wang, Xuebin Qin, Hang Dai, Wenqi Ren, Donghao Luo, Ying Tai, Ling Shao:
High-Resolution Iterative Feedback Network for Camouflaged Object Detection. 881-889 - Xiaoming Hu
Leveraging Sub-class Discimination for Compositional Zero-Shot Learning. 890-898 - Xin Hu, Lingling Zhang, Jun Liu, Jinfu Fan, Yang You, Yaqiang Wu:
GPTR: Gestalt-Perception Transformer for Diagram Object Detection. 899-907 - Bingchen Huang, Zhineng Chen, Peng Zhou, Jiayin Chen, Zuxuan Wu:
Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning. 908-916 - Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Hong Wang, Yuexiang Li, Yawen Huang, Yefeng Zheng:
ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation. 917-925 - Runhui Huang, Yanxin Long, Jianhua Han, Hang Xu, Xiwen Liang, Chunjing Xu, Xiaodan Liang:
NLIP: Noise-Robust Language-Image Pre-training. 926-934 - Tianyu Huang, Bowen Dong, Jiaying Lin
Symmetry-Aware Transformer-Based Mirror Detection. 935-943 - Xiaoyang Huang, Yanjun Wang, Yang Liu, Bingbing Ni, Wenjun Zhang, Jinxian Liu, Teng Li:
AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio. 944-952 - Xiaoyang Huang, Yi Zhang, Bingbing Ni, Teng Li, Kai Chen, Wenjun Zhang:
Boosting Point Clouds Rendering via Radiance Mapping. 953-961 - Yangyu Huang, Xi Chen, Jongyoo Kim, Hao Yang, Chong Li, Jiaolong Yang, Dong Chen:
FreeEnricher: Enriching Face Landmarks without Additional Cost. 962-970 - Md Mofijul Islam, Alexi Gladstone, Tariq Iqbal:
PATRON: Perspective-Aware Multitask Model for Referring Expression Grounding Using Embodied Multimodal Cues. 971-979 - Jiho Jang, Chaerin Kong, Donghyeon Jeon, Seonhoon Kim, Nojun Kwak:
Unifying Vision-Language Representation Space with Single-Tower Transformer. 980-988 - Kai Jia, Hongwen Zhang, Liang An, Yebin Liu:
Delving Deep into Pixel Alignment Feature for Accurate Multi-View Human Mesh Recovery. 989-997 - Mengxi Jia, Yifan Sun, Yunpeng Zhai, Xinhua Cheng, Yi Yang, Ying Li:
Semi-attention Partition for Occluded Person Re-identification. 998-1006 - Wenzhe Jia, Yuan Cao, Junwei Liu, Jie Gui:
Fast Online Hashing with Multi-Label Projection. 1007-1014 - Xi Jia, Joseph Bartlett, Wei Chen, Siyang Song, Tianyang Zhang, Xinxing Cheng
Fourier-Net: Fast Image Registration with Band-Limited Deformation. 1015-1023 - Hai Jiang
Semi-supervised Deep Large-Baseline Homography Estimation with Progressive Equivalence Constraint. 1024-1032 - Xuhao Jiang, Weimin Tan, Tian Tan, Bo Yan, Liquan Shen:
Multi-Modality Deep Network for Extreme Learned Image Compression. 1033-1041 - Yanqin Jiang, Li Zhang, Zhenwei Miao, Xiatian Zhu, Jin Gao, Weiming Hu, Yu-Gang Jiang:
PolarFormer: Multi-Camera 3D Object Detection with Polar Transformer. 1042-1050 - Zutao Jiang, Guansong Lu, Xiaodan Liang, Jihua Zhu, Wei Zhang, Xiaojun Chang
3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation. 1051-1059 - Shibo Jie, Zhi-Hong Deng:
FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer. 1060-1068 - Yeying Jin, Ruoteng Li, Wenhan Yang, Robby T. Tan:
Estimating Reflectance Layer from a Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning. 1069-1077 - Kumara Kahatapitiya, Zhou Ren, Haoxiang Li, Zhenyu Wu, Michael S. Ryoo, Gang Hua:
Weakly-Guided Self-Supervised Pretraining for Temporal Activity Detection. 1078-1086 - Fehmi Kahraman, Kemal Oksuz, Sinan Kalkan, Emre Akbas:
Correlation Loss: Enforcing Correlation between Classification and Localization. 1087-1095 - Minsoo Kang
GuidedMixup: An Efficient Mixup Strategy Guided by Saliency Maps. 1096-1104 - Yangyuxuan Kang, Yuyang Liu, Anbang Yao, Shandong Wang, Enhua Wu:
3D Human Pose Lifting with Grid Convolution. 1105-1113 - Daehan Kim, Minseok Seo, Kwanyong Park, Inkyu Shin, Sanghyun Woo, In So Kweon, Dong-Geol Choi:
Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation. 1114-1123 - Jinhyung Kim, Taeoh Kim, Minho Shim, Dongyoon Han, Dongyoon Wee, Junmo Kim:
Frequency Selective Augmentation for Video Representation Learning. 1124-1132 - Minseok Kim, Changwoo Kang, Jeongin Park, Kyungdon Joo:
Pose-Guided 3D Human Generation in Indoor Scene. 1133-1141 - Sangtae Kim, Daeyoung Park, Byonghyo Shim:
Semantic-Aware Superpixel for Weakly Supervised Semantic Segmentation. 1142-1150 - Taeheon Kim, Youngjoon Yu, Yong Man Ro:
Multispectral Invisible Coating: Laminated Visible-Thermal Physical Attack against Multispectral Object Detectors Using Transparent Low-E Films. 1151-1159 - Youngseok Kim, Sanmin Kim, Jun Won Choi, Dongsuk Kum:
CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer. 1160-1168 - Jing Yu Koh, Harsh Agrawal, Dhruv Batra, Richard Tucker, Austin Waters, Honglak Lee, Yinfei Yang, Jason Baldridge, Peter Anderson:
Simple and Effective Synthesis of Indoor 3D Scenes. 1169-1178 - Junho Koh, Junhyung Lee, Youngwoo Lee, Jaekyum Kim, Jun Won Choi:
MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object Detection. 1179-1187 - Rajat Koner, Tanveer Hannan, Suprosanna Shit, Sahand Sharifzadeh, Matthias Schubert, Thomas Seidl, Volker Tresp:
InstanceFormer: An Online Video Instance Segmentation Framework. 1188-1195 - Hyeokjun Kweon, Hyeonseong Kim, Yoonsu Kang, Youngho Yoon, Wooseong Jeong, Kuk-Jin Yoon:
Pixel-Wise Warping for Deep Image Stitching. 1196-1204 - Meng Lan, Jing Zhang, Lefei Zhang, Dacheng Tao:
Learning to Learn Better for Video Object Segmentation. 1205-1212 - Xiaohan Lan, Yitian Yuan, Hong Chen, Xin Wang, Zequn Jie, Lin Ma, Zhi Wang, Wenwu Zhu:
Curriculum Multi-Negative Augmentation for Debiased Video Grounding. 1213-1221 - Yuxiang Lan, Yachao Zhang, Yanyun Qu, Cong Wang, Chengyang Li, Jia Cai, Yuan Xie, Zongze Wu:
Weakly Supervised 3D Segmentation via Receptive-Driven Pseudo Label Consistency and Structural Consistency. 1222-1230 - Taeryung Lee, Gyeongsik Moon, Kyoung Mu Lee:
MultiAct: Long-Term 3D Human Motion Generation from Multiple Action Labels. 1231-1239 - Yejin Lee, Donghyun Lee, JungUk Hong, Jae W. Lee, Hongil Yoon:
Not All Neighbors Matter: Point Distribution-Aware Pruning for 3D Point Cloud. 1240-1249 - Stan Weixian Lei, Difei Gao, Jay Zhangjie Wu, Yuxuan Wang, Wei Liu, Mengmi Zhang, Mike Zheng Shou:
Symbolic Replay: Scene Graph as Prompt for Continual Learning on VQA Task. 1250-1259 - Yang Lei, Peizhi Zhao, Pijian Li
Linking People across Text and Images Based on Social Relation Reasoning. 1260-1268 - Bingchuan Li, Tianxiang Ma, Peng Zhang, Miao Hua, Wei Liu, Qian He, Zili Yi:
ReGANIE: Rectifying GAN Inversion Errors for Accurate Real Image Editing. 1269-1277 - Chunxiao Li, Xuejing Kang, Zhifeng Zhang, Anlong Ming:
SWBNet: A Stable White Balance Network for sRGB Images. 1278-1286 - Dongyang Li, Hao Luo, Pichao Wang, Zhibin Wang, Shang Liu, Fan Wang:
Frequency Domain Disentanglement for Arbitrary Neural Style Transfer. 1287-1295 - Han Li, Bowen Shi, Wenrui Dai, Hongwei Zheng, Botao Wang, Yu Sun, Min Guo, Chenglin Li, Junni Zou, Hongkai Xiong:
Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation. 1296-1304 - Haolun Li, Chi-Man Pun:
CEE-Net: Complementary End-to-End Network for 3D Human Pose Generation and Estimation. 1305-1313 - Haoying Li, Ziran Zhang, Tingting Jiang, Peng Luo, Huajun Feng, Zhihai Xu:
Real-World Deep Local Motion Deblurring. 1314-1322 - Jiangmeng Li, Yanan Zhang, Wenwen Qiang, Lingyu Si, Chengbo Jiao, Xiaohui Hu, Changwen Zheng
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from a Conditional Causal Perspective. 1323-1333 - Jianwei Li, Zitong Yu, Jingang Shi:
Learning Motion-Robust Remote Photoplethysmography through Arbitrary Resolution Videos. 1334-1342 - Jinmin Li
FSR: A General Frequency-Oriented Framework to Accelerate Image Super-resolution Networks. 1343-1350 - Kaicheng Li, Hongyu Yang, Binghui Chen, Pengyu Li, Biao Wang, Di Huang:
Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing. 1351-1359 - Meng Li, Yahan Yu, Yi Yang, Guanghao Ren, Jian Wang:
Stroke Extraction of Chinese Character Based on Deep Structure Deformable Image Registration. 1360-1367 - Miaoyu Li, Ying Fu, Yulun Zhang:
Spatial-Spectral Transformer for Hyperspectral Image Denoising. 1368-1376 - Mingchao Li, Xiaoming Shi, Haitao Leng, Wei Zhou, Hai-Tao Zheng, Kuncai Zhang:
Learning Semantic Alignment with Global Modality Reconstruction for Video-Language Pre-training towards Retrieval. 1377-1385 - Mingxiao Li, Zehao Wang, Tinne Tuytelaars
Layout-Aware Dreamer for Embodied Visual Referring Expression Grounding. 1386-1395 - Shujuan Li, Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han:
NeAF: Learning Neural Angle Fields for Point Normal Estimation. 1396-1404 - Siyuan Li, Li Sun, Qingli Li:
CLIP-ReID: Exploiting Vision-Language Model for Image Re-identification without Concrete Text Labels. 1405-1413
AAAI Technical Track on Computer Vision II
- Wen Li, Cheng Zou, Meng Wang, Furong Xu, Jianan Zhao, Ruobing Zheng, Yuan Cheng, Wei Chu:
DC-Former: Diverse and Compact Transformer for Person Re-identification. 1415-1423 - Xiang Li, Haoyuan Cao, Shijie Zhao, Junlin Li, Li Zhang, Bhiksha Raj:
Panoramic Video Salient Object Detection with Ambisonic Audio Guidance. 1424-1432 - Xiang Li, Junbo Yin, Botian Shi, Yikang Li, Ruigang Yang, Jianbing Shen:
LWSIS: LiDAR-Guided Weakly Supervised Instance Segmentation for Autonomous Driving. 1433-1441 - Xinhui Li, Mingjia Li, Yaxing Wang, Chuan-Xian Ren, Xiaojie Guo:
Adaptive Texture Filtering for Single-Domain Generalized Segmentation. 1442-1450 - Xinjie Li, Huijuan Xu:
MEID: Mixture-of-Experts with Internal Distillation for Long-Tailed Video Recognition. 1451-1459 - Xuyang Li
Gradient Corner Pooling for Keypoint-Based Object Detection. 1460-1467 - Yanyu Li, Changdi Yang, Pu Zhao, Geng Yuan, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Qing Jin, Bin Ren, Xue Lin, Yanzhi Wang:
Towards Real-Time Segmentation on the Edge. 1468-1476 - Yinhao Li, Zheng Ge, Guanyi Yu, Jinrong Yang, Zengran Wang, Yukang Shi, Jianjian Sun, Zeming Li:
BEVDepth: Acquisition of Reliable Depth for Multi-View 3D Object Detection. 1477-1485 - Yinhao Li, Han Bao, Zheng Ge, Jinrong Yang, Jianjian Sun, Zeming Li:
BEVStereo: Enhancing Depth Estimation in Multi-View 3D Object Detection with Temporal Stereo. 1486-1494 - Yu Li, Dongwei Ren, Xinya Shu, Wangmeng Zuo:
Learning Single Image Defocus Deblurring with Misaligned Training Pairs. 1495-1503 - Zheng Li
Curriculum Temperature for Knowledge Distillation. 1504-1512 - Zhilin Li, Zilei Wang, Qinying Liu:
Actionness Inconsistency-Guided Contrastive Learning for Weakly-Supervised Temporal Action Localization. 1513-1521 - Zhuopeng Li, Lu Li, Jianke Zhu:
READ: Large-Scale Neural Scene Rendering for Autonomous Driving. 1522-1529 - Zihan Li, Weibin Wu, Yuxin Su, Zibin Zheng, Michael R. Lyu:
CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning. 1530-1538 - Han Liang, Yannan He, Chengfeng Zhao, Mutian Li, Jingya Wang, Jingyi Yu, Lan Xu:
HybridCap: Inertia-Aid Monocular Capture of Challenging Human Motions. 1539-1548 - Yun Liang, Qiaoqiao Li, Fumian Long:
Global Dilated Attention and Target Focusing Network for Robust Tracking. 1549-1557 - Liang Liao, Wenyi Chen, Zhen Zhang, Jing Xiao, Yan Yang, Chia-Wen Lin, Shin'ichi Satoh:
Only a Few Classes Confusing: Pixel-Wise Candidate Labels Disambiguation for Foggy Scene Understanding. 1558-1567 - Bingqian Lin, Yi Zhu, Xiaodan Liang, Liang Lin, Jianzhuang Liu:
Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation. 1568-1576 - Dekun Lin:
Probability Guided Loss for Long-Tailed Multi-Label Image Classification. 1577-1585 - Huangxing Lin, Yihong Zhuang, Xinghao Ding, Delu Zeng, Yue Huang, Xiaotong Tu, John W. Paisley:
Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior. 1586-1594 - Lijian Lin, Xintao Wang, Zhongang Qi, Ying Shan:
Accelerating the Training of Video Super-resolution Models. 1595-1603 - Shiqi Lin, Zhizheng Zhang, Xin Li, Zhibo Chen:
SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation. 1604-1612 - Tianwei Lin, Honglin Lin, Fu Li, Dongliang He, Wenhao Wu
AdaCM: Adaptive ColorMLP for Real-Time Universal Photo-Realistic Style Transfer. 1613-1621 - Yiqi Lin, Huabin Zheng, Huaping Zhong, Jinjing Zhu, Weijia Li, Conghui He, Lin Wang:
SEPT: Towards Scalable and Efficient Visual Pre-training. 1622-1630 - Yongguo Ling, Zhun Zhong, Zhiming Luo, Fengxiang Yang, Donglin Cao, Yaojin Lin, Shaozi Li, Nicu Sebe
Cross-Modality Earth Mover's Distance for Visible Thermal Person Re-identification. 1631-1639 - Daizong Liu, Xiang Fang, Pan Zhou, Xing Di, Weining Lu, Yu Cheng:
Hypotheses Tree Building for One-Shot Temporal Sentence Localization. 1640-1648 - Hao Liu, Xinghua Jiang, Xin Li, Antai Guo, Yiqing Hu, Deqiang Jiang, Bo Ren:
The Devil Is in the Frequency: Geminated Gestalt Autoencoder for Self-Supervised Visual Pre-training. 1649-1656 - Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Liansheng Wang, Yefeng Zheng:
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities. 1657-1665 - Jie Liu, Chao Chen, Jie Tang, Gangshan Wu:
From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-resolution. 1666-1674 - Jinxian Liu, Ye Chen, Bingbing Ni, Wei Ren, Zhenbo Yu, Xiaoyang Huang:
Fast Fluid Simulation via Dynamic Multi-Scale Gridding. 1675-1682 - Jiuming Liu
TransLO: A Window-Based Masked Point Transformer Framework for Large-Scale LiDAR Odometry. 1683-1691 - Lin Liu, Junfeng An, Jianzhuang Liu, Shanxin Yuan, Xiangyu Chen, Wengang Zhou, Houqiang Li, Yanfeng Wang, Qi Tian:
Low-Light Video Enhancement with Synthetic Event Guidance. 1692-1700 - Mengyuan Liu, Fanyang Meng, Chen Chen, Songtao Wu:
Novel Motion Patterns Matter for Practical Skeleton-Based Action Recognition. 1701-1709 - Renshuai Liu
EMEF: Ensemble Multi-Exposure Image Fusion. 1710-1718 - Shaolei Liu, Siqi Yin, Linhao Qu, Manning Wang:
Reducing Domain Gap in Frequency and Spatial Domain for Cross-Modality Domain Adaptation on Medical Image Segmentation. 1719-1727 - Shilong Liu, Shijia Huang, Feng Li, Hao Zhang, Yaoyuan Liang, Hang Su, Jun Zhu, Lei Zhang:
DQ-DETR: Dual Query Detection Transformer for Phrase Extraction and Grounding. 1728-1736 - Ting Liu, Yunchao Wei, Yanning Zhang:
Progressive Neighborhood Aggregation for Semantic Segmentation Refinement. 1737-1745 - Weihuang Liu
CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying. 1746-1754 - Xuyang Liu, Bingbing Wen, Sibei Yang:
CCQ: Cross-Class Query Network for Partially Labeled Organ Segmentation. 1755-1763 - Yanzhu Liu, Ying Sun, Joo-Hwee Lim:
Counterfactual Dynamics Forecasting - a New Setting of Quantitative Reasoning. 1764-1771 - Yuang Liu, Wei Zhang, Jun Wang:
Self-Decoupling and Ensemble Distillation for Efficient Segmentation. 1772-1780 - Yuqi Liu, Luhui Xu, Pengfei Xiong, Qin Jin:
Token Mixing: Parameter-Efficient Transfer Learning from Image-Language to Video-Language. 1781-1789 - Zhe Liu, Xiaoqing Ye, Xiao Tan, Errui Ding, Xiang Bai:
StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-Based 3D Object Detection. 1790-1798 - Zhengqi Liu
Good Helper Is around You: Attention-Driven Masked Image Modeling. 1799-1807 - Yunfei Long, Abhinav Kumar, Daniel D. Morris, Xiaoming Liu, Marcos Castro, Punarjay Chakravarty:
RADIANT: Radar-Image Association Network for 3D Object Detection. 1808-1816 - Yujing Lou, Zelin Ye, Yang You, Nianjuan Jiang, Jiangbo Lu, Weiming Wang, Lizhuang Ma, Cewu Lu:
CRIN: Rotation-Invariant Point Cloud Analysis and Rotation Estimation via Centrifugal Reference Frame. 1817-1825 - Haifeng Lu
See Your Emotion from Gait Using Unlabeled Skeleton Data. 1826-1834 - Hu Lu, Xuezhang Zou, Pingping Zhang:
Learning Progressive Modality-Shared Transformers for Effective Visible-Infrared Person Re-identification. 1835-1843 - Xiaonan Lu, Wenhui Diao, Yongqiang Mao, Junxi Li, Peijin Wang, Xian Sun, Kun Fu:
Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection. 1844-1852 - Xiaoyong Lu, Yaping Yan, Bin Kang, Songlin Du:
ParaFormer: Parallel Attention Transformer for Efficient Feature Matching. 1853-1860 - Jinxin Lv, Xiaoyu Zeng, Sheng Wang, Ran Duan, Zhiwei Wang, Qiang Li:
Robust One-Shot Segmentation of Brain Tissues via Image-Aligned Style Transformation. 1861-1869 - Jiefeng Ma, Jun Du, Pengfei Hu, Zhenrong Zhang, Jianshu Zhang, Huihui Zhu, Cong Liu:
HRDoc: Dataset and Baseline Method toward Hierarchical Reconstruction of Document Structures. 1870-1877 - Tianxiang Ma, Bingchuan Li, Qian He, Jing Dong, Tieniu Tan:
Semantic 3D-Aware Portrait Synthesis and Manipulation Based on Compositional Neural Radiance Field. 1878-1886 - Tianxiang Ma, Bingchuan Li, Wei Liu, Miao Hua, Jing Dong, Tieniu Tan:
CFFT-GAN: Cross-Domain Feature Fusion Transformer for Exemplar-Based Image Translation. 1887-1895 - Yifeng Ma, Suzhen Wang
StyleTalk: One-Shot Talking Head Generation with Controllable Speaking Styles. 1896-1904 - Xintian Mao
Intriguing Findings of Frequency Selection for Image Deblurring. 1905-1913 - Puneet Mathur, Rajiv Jain, Jiuxiang Gu, Franck Dernoncourt, Dinesh Manocha, Vlad I. Morariu:
DocEdit: Language-Guided Document Editing. 1914-1922 - Jongbo Moon, Hyunjun Kim, Jae-Pil Heo:
Progressive Few-Shot Adaptation of Generative Model with Align-Free Spatial Correlation. 1923-1930 - WonJun Moon, Hyun Seok Seong, Jae-Pil Heo:
Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition. 1931-1939 - Khanh Nguyen, Ali Furkan Biten, Andrés Mafla, Lluís Gómez
Show, Interpret and Tell: Entity-Aware Contextualised Image Captioning in Wikipedia. 1940-1948 - Chang Nie, Yiqing Hu, Yanqiu Qu, Hao Liu, Deqiang Jiang, Bo Ren:
TaCo: Textual Attribute Recognition via Contrastive Learning. 1949-1956 - Jiahao Nie
GLT-T: Global-Local Transformer Voting for 3D Single Object Tracking in Point Clouds. 1957-1965 - Yuxiang Nie, Chaowei Fang, Lechao Cheng
Adapting Object Size Variance and Class Imbalance for Semi-supervised Object Detection. 1966-1974 - Shuliang Ning, Mengcheng Lan, Yanran Li
MIMO Is All You Need：A Strong Multi-in-Multi-Out Baseline for Video Prediction. 1975-1983 - Zhakshylyk Nurlanov, Frank R. Schmidt, Florian Bernard:
Universe Points Representation Learning for Partial Multi-Graph Matching. 1984-1992 - Geunwoo Oh, Jonghee Back, Jae-Pil Heo, Bochang Moon:
Robust Image Denoising of No-Flash Images Guided by Consistent Flash Images. 1993-2001 - Yixuan Pan, Yao Yao, Yichao Cao
Coarse2Fine: Local Consistency Aware Re-prediction for Weakly Supervised Object Localization. 2002-2010 - Zhiyu Pan, Yinpeng Chen, Jiale Zhang, Hao Lu, Zhiguo Cao, Weicai Zhong:
Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression. 2011-2019 - Sen Pei, Jiaxi Sun, Richard Yi Da Xu
Domain Decorrelation with Potential Energy Ranking. 2020-2028 - Cheng Peng, Rama Chellappa:
PDRF: Progressively Deblurring Radiance Field for Fast Scene Reconstruction from Blurry Images. 2029-2037 - Min Peng, Chongyang Wang
Efficient End-to-End Video Question Answering with Pyramidal Multimodal Transformer. 2038-2046 - Xidong Peng, Xinge Zhu, Yuexin Ma:
CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D Detection. 2047-2055 - Yansong Peng, Yueyi Zhang, Peilin Xiao, Xiaoyan Sun, Feng Wu:
Better and Faster: Adaptive Event Conversion for Event-Based Object Detection. 2056-2064 - Huy Phan, Miao Yin, Yang Sui
CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness. 2065-2073 - Yu Qi, Fan Yang, Yousong Zhu, Yufei Liu, Liwei Wu, Rui Zhao, Wei Li:
Exploring Stochastic Autoregressive Image Modeling for Visual Representation. 2074-2081 - Xiaoyan Qian, Chang Liu, Xiaojuan Qi, Siew-Chong Tan
Context-Aware Transformer for 3D Point Cloud Automatic Annotation. 2082-2090 - Guanyi Qin, Runze Hu, Yutao Liu, Xiawu Zheng, Haotian Liu, Xiu Li, Yan Zhang:
Data-Efficient Image Quality Assessment with Attention-Panel Decoder. 2091-2100 - Yulei Qin, Xingyu Chen, Chao Chen, Yunhang Shen, Bo Ren, Yun Gu, Jie Yang, Chunhua Shen:
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning. 2101-2109 - Zheyun Qin, Xiankai Lu, Xiushan Nie, Yilong Yin, Jianbing Shen:
Exposing the Self-Supervised Space-Time Correspondence Learning via Graph Kernels. 2110-2118 - Yadong Qu, Qingfeng Tan, Hongtao Xie, Jianjun Xu, YuXin Wang, Yongdong Zhang:
Exploring Stroke-Level Modifications for Scene Text Editing. 2119-2127 - Yuhui Quan, Zhile Chen, Tongyao Pang, Hui Ji:
Unsupervised Deep Learning for Phase Retrieval via Teacher-Student Distillation. 2128-2136 - Sameera Ramasinghe, Simon Lucey:
A Learnable Radial Basis Positional Embedding for Coordinate-MLPs. 2137-2145 - Haziq Razali, Yiannis Demiris
Action-Conditioned Generation of Bimanual Object Manipulation Sequences. 2146-2154 - Tal Reiss, Yedid Hoshen:
Mean-Shifted Contrastive Loss for Anomaly Detection. 2155-2162 - Pengfei Ren, Yuchen Chen, Jiachang Hao, Haifeng Sun, Qi Qi, Jingyu Wang
Two Heads Are Better than One: Image-Point Cloud Network for Depth-Based 3D Hand Pose Estimation. 2163-2171 - Mozhdeh Rouhsedaghat, Masoud Monajatipoor, C.-C. Jay Kuo, Iacopo Masi:
MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-robust Classifier. 2172-2179 - Karthik Seemakurthy, Charles Fox, Erchan Aptoula, Petra Bosilj
Domain Generalised Faster R-CNN. 2180-2190 - Junyoung Seo, Gyuseong Lee, Seokju Cho, Jiyoung Lee, Seungryong Kim:
MIDMs: Matching Interleaved Diffusion Models for Exemplar-Based Image Translation. 2191-2199 - Jiaxiang Shang, Yu Zeng, Xin Qiao, Xin Wang, Runze Zhang, Guangyuan Sun, Vishal Patel, Hongbo Fu:
JR2Net: Joint Monocular 3D Face Reconstruction and Reenactment. 2200-2208 - Zhuchen Shao, Yang Chen, Hao Bian, Jian Zhang, Guojun Liu, Yongbing Zhang:
HVTSurv: Hierarchical Vision Transformer for Patient-Level Survival Prediction from Whole Slide Image. 2209-2217 - Ankit Kumar Sharma, Hassan Foroosh:
Channel Regeneration: Improving Channel Utilization for Compact DNNs. 2218-2226 - Hao Shen, Zhong-Qiu Zhao, Wandi Zhang:
Adaptive Dynamic Filtering Network for Image Denoising. 2227-2235 - Xiangjun Shen, Stanley Ebhohimhen Abhadiomhen, Yang Yang, Zhifeng Liu, Sirui Tian:
Edge Structure Learning via Low Rank Residuals for Robust Image Classification. 2236-2244 - Xiangsheng Shi, Xuefei Ning, Lidong Guo, Tianchen Zhao, Enshu Liu, Yi Cai, Yuhan Dong, Huazhong Yang, Yu Wang:
Memory-Oriented Structural Pruning for Efficient Image Restoration. 2245-2253 - Yuheng Shi, Naiyan Wang, Xiaojie Guo:
YOLOV: Making Still Image Object Detectors Great at Video Object Detection. 2254-2262 - Jae-hun Shim, Hyunwoo Yu
FeedFormer: Revisiting Transformer Decoder for Efficient Semantic Segmentation. 2263-2271 - Jisu Shin, SeungHyun Shin, Hae-Gon Jeon:
Task-Specific Scene Structure Representations. 2272-2281 - Jungwook Shin, Jaeill Kim, Kyungeun Lee, Hyunghun Cho, Wonjong Rhee:
Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion. 2282-2291 - Seokbeom Song, Suhyeon Lee, Hongje Seong, Kyoungwon Min, Euntai Kim:
SHUNIT: Style Harmonization for Unpaired Image-to-Image Translation. 2292-2302 - Xingke Song, Jiahuan Jin, Chenglin Yao, Shihe Wang, Jianfeng Ren, Ruibin Bai:
Siamese-Discriminant Deep Reinforcement Learning for Solving Jigsaw Puzzles with Large Eroded Gaps. 2303-2311 - Yiren Song, Xuning Shao, Kang Chen, Weidong Zhang, Zhongliang Jing, Minzhe Li:
CLIPVG: Text-Guided Image Manipulation Using Differentiable Vector Graphics. 2312-2320 - Zikai Song, Run Luo, Junqing Yu, Yi-Ping Phoebe Chen, Wei Yang:
Compact Transformer Tracker with Correlative Masked Modeling. 2321-2329 - Mohamed Ali Souibgui, Sanket Biswas, Andrés Mafla, Ali Furkan Biten, Alicia Fornés, Yousri Kessentini, Josep Lladós, Lluís Gómez
Text-DIAE: A Self-Supervised Degradation Invariant Autoencoder for Text Recognition and Document Enhancement. 2330-2338 - Shihao Su, Jianyun Xu, Huanyu Wang, Zhenwei Miao, Xin Zhan, Dayang Hao, Xi Li:
PUPS: Point Cloud Unified Panoptic Segmentation. 2339-2347 - Wanjuan Su, Wenbing Tao:
Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. 2348-2356 - Wei Su, Peihan Miao, Huanzhang Dou, Yongjian Fu, Xi Li:
Referring Expression Comprehension Using Language Adaptive Inference. 2357-2365 - Zixian Su, Kai Yao, Xi Yang, Kaizhu Huang, Qiufeng Wang, Jie Sun:
Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation. 2366-2374 - Bin Sun, Yulun Zhang, Songyao Jiang, Yun Fu:
Hybrid Pixel-Unshuffled Network for Lightweight Image Super-resolution. 2375-2383 - Che Sun, Chenrui Shi, Yunde Jia, Yuwei Wu:
Learning Event-Relevant Factors for Video Anomaly Detection. 2384-2392 - Jiahao Sun, Chunmei Qing, Junpeng Tan, Xiangmin Xu:
Superpoint Transformer for 3D Scene Instance Segmentation. 2393-2401 - Linhui Sun, Yifan Zhang, Jian Cheng, Hanqing Lu:
Asynchronous Event Processing with Local-Shift Graph Convolutional Network. 2402-2410 - Ruizhou Sun, Yukun Su, Qingyao Wu:
DENet: Disentangled Embedding Network for Visible Watermark Removal. 2411-2419 - Keke Tang, Jianpeng Wu, Weilong Peng, Yawen Shi, Peng Song, Zhaoquan Gu, Zhihong Tian, Wenping Wang:
Deep Manifold Attack on Point Clouds via Parameter Plane Stretching. 2420-2428 - Christopher T. H. Teo, Milad Abdollahzadeh, Ngai-Man Cheung:
Fair Generative Models via Transfer Learning. 2429-2437 - Zhuotao Tian, Jiequan Cui, Li Jiang
Learning Context-Aware Classifier for Semantic Segmentation. 2438-2446 - Khang Truong Giang, Soohwan Song, Sungho Jo:
TopicFM: Robust and Interpretable Topic-Assisted Feature Matching. 2447-2455 - Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao:
Learning Fractals by Gradient Descent. 2456-2464 - Deepali Verma
Leveraging Weighted Cross-Graph Attention for Visual and Semantic Enhanced Video Captioning Network. 2465-2473 - Bingrui Wang, Yuan Zhou:
Doodle to Object: Practical Zero-Shot Sketch-Based 3D Shape Retrieval. 2474-2482 - Cong Wang, Zhiwei Jiang, Yafeng Yin, Zifeng Cheng, Shiping Ge
Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning. 2483-2491 - Dongsheng Wang, Xu Jia, Yang Zhang, Xinyu Zhang, Yaoyuan Wang, Ziyang Zhang, Dong Wang, Huchuan Lu:
Dual Memory Aggregation Network for Event-Based Object Detection with Learnable Representation. 2492-2500 - Guangzhi Wang, Hehe Fan, Mohan S. Kankanhalli:
Text to Point Cloud Localization with Relation-Enhanced Transformer. 2501-2509 - Hao Wang, Min Li, Yangyang Song, Youjian Zhang, Liying Chi:
UCoL: Unsupervised Learning of Discriminative Facial Representations via Uncertainty-Aware Contrast. 2510-2518 - Haohan Wang, Liang Liu, Boshen Zhang, Jiangning Zhang, Wuhao Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang:
Calibrated Teacher for Sparsely Annotated Object Detection. 2519-2527 - Haowei Wang, Jiayi Ji, Yiyi Zhou, Yongjian Wu, Xiaoshuai Sun:
Towards Real-Time Panoptic Narrative Grounding by an End-to-End Grounding Network. 2528-2536 - He Wang, Lin Wan, He Tang:
LeNo: Adversarial Robust Salient Object Detection Networks with Learnable Noise. 2537-2545 - He Wang, Yunfeng Diao
Defending Black-Box Skeleton-Based Human Activity Classifiers. 2546-2554 - Jianyi Wang
Exploring CLIP for Assessing the Look and Feel of Images. 2555-2563 - Kaisiyuan Wang, Changcheng Liang, Hang Zhou, Jiaxiang Tang, Qianyi Wu, Dongliang He, Zhibin Hong, Jingtuo Liu, Errui Ding, Ziwei Liu, Jingdong Wang:
Robust Video Portrait Reenactment via Personalized Representation Quantization. 2564-2572 - Kuo Wang, Jingyu Zhuang
De-biased Teacher: Rethinking IoU Matching for Semi-supervised Object Detection. 2573-2580 - Lei Wang
Learning to Generate an Unbiased Scene Graph by Using Attribute-Guided Predicate Features. 2581-2589 - Lei Wang, Jiabang He, Xing Xu, Ning Liu, Hui Liu:
Alignment-Enriched Tuning for Patch-Level Pre-trained Document Image Models. 2590-2598 - Likang Wang, Yue Gong, Qirui Wang, Kaixuan Zhou, Lei Chen:
Flora: Dual-Frequency LOss-Compensated ReAl-Time Monocular 3D Video Reconstruction. 2599-2607 - Ning Wang, Jiangrong Xie, Hang Luo, Qinglin Cheng, Jihao Wu, Mingbo Jia, Linlin Li:
Efficient Image Captioning for Edge Devices. 2608-2616 - Ning Wang, Jiahao Xie, Jihao Wu, Mingbo Jia, Linlin Li:
Controllable Image Captioning via Prompting. 2617-2625 - Ruibin Wang, Xianghua Ying, Bowei Xing, Jinfa Yang:
ECO-3D: Equivariant Contrastive Learning for Pre-training on Perturbed 3D Point Cloud. 2626-2634 - Ruikui Wang, Yuanfang Guo, Yunhong Wang:
Global-Local Characteristic Excited Cross-Modal Attacks from Images to Videos. 2635-2643 - Shijie Wang, Jianlong Chang, Zhihui Wang, Haojie Li, Wanli Ouyang, Qi Tian:
Fine-Grained Retrieval Prompt Tuning. 2644-2652
AAAI Technical Track on Computer Vision III
- Tao Wang, Kaihao Zhang, Tianrun Shen, Wenhan Luo, Björn Stenger, Tong Lu:
Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method. 2654-2662 - Weihao Wang, Rufeng Zhang, Mingyu You, Hongjun Zhou, Bin He:
3D Assembly Completion. 2663-2671 - Wenhao Wang, Yifan Sun, Yi Yang:
A Benchmark and Asymmetrical-Similarity Learning for Practical Image Copy Detection. 2672-2679 - Wufan Wang, Lei Zhang, Hua Huang
Revisiting Unsupervised Local Descriptor Learning. 2680-2688 - Xiaofeng Wang, Zheng Zhu, Guan Huang, Xu Chi, Yun Ye, Ziwei Chen, Xingang Wang:
Crafting Monocular Cues and Velocity Guidance for Self-Supervised Multi-Frame Depth Learning. 2689-2697 - Xiaohang Wang, Xuanhong Chen, Bingbing Ni, Zhengyan Tong, Hang Wang:
Learning Continuous Depth Representation via Geometric Spatial Aggregator. 2698-2706 - Yan Wang
SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud. 2707-2715 - Yanbo Wang, Chuming Lin, Donghao Luo, Ying Tai, Zhizhong Zhang, Yuan Xie:
High-Resolution GAN Inversion for Degraded Images in Large Diverse Datasets. 2716-2723 - Yinhuai Wang, Yujie Hu, Jiwen Yu, Jian Zhang:
GAN Prior Based Null-Space Learning for Consistent Super-resolution. 2724-2732 - Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shu-Tao Xia:
Contrastive Masked Autoencoders for Self-Supervised Video Hashing. 2733-2741 - Zhizhong Wang, Lei Zhao, Zhiwen Zuo, Ailin Li, Haibo Chen, Wei Xing, Dongming Lu:
MicroAST: Towards Super-fast Ultra-Resolution Arbitrary Style Transfer. 2742-2750 - Zixiao Wang, Junwu Weng, Chun Yuan, Jue Wang:
Truncate-Split-Contrast: A Framework for Learning from Mislabeled Videos. 2751-2758 - Guoqiang Wei, Zhizheng Zhang, Cuiling Lan, Yan Lu, Zhibo Chen:
Active Token Mixer. 2759-2767 - Juanjuan Weng, Zhiming Luo, Zhun Zhong, Dazhen Lin, Shaozi Li:
Exploring Non-target Knowledge for Improving Ensemble Universal Adversarial Attacks. 2768-2775 - Sangmin Woo, Sumin Lee, Yeonju Park, Muhammad Adi Nugroho, Changick Kim:
Towards Good Practices for Missing Modality Robust Action Recognition. 2776-2784 - Fuxiang Wu, Liu Liu, Fusheng Hao, Fengxiang He, Lei Wang, Jun Cheng:
Reject Decoding via Language-Vision Models for Text-to-Image Synthesis. 2785-2794 - Hai Wu, Chenglu Wen, Wei Li, Xin Li, Ruigang Yang, Cheng Wang:
Transformation-Equivariant 3D Object Detection for Autonomous Driving. 2795-2802 - Huisi Wu, Jingyin Lin
Super-efficient Echocardiography Video Segmentation via Proxy- and Kernel-Based Semi-supervised Learning. 2803-2811 - Huisi Wu, Wende Xie
ACL-Net: Semi-supervised Polyp Segmentation via Affinity Contrastive Learning. 2812-2820 - Jijie Wu, Dongliang Chang, Aneeshan Sain
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification. 2821-2829 - Jingyu Wu
Preserving Structural Consistency in Arbitrary Artist and Artwork Style Transfer. 2830-2838 - Mingrui Wu, Jiaxin Gu, Yunhang Shen, Mingbao Lin, Chao Chen, Xiaoshuai Sun:
End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation. 2839-2846 - Wenhao Wu
Revisiting Classifier: Transferring Vision-Language Models for Video Recognition. 2847-2855 - Yang Wu, Pengxu Wei, Liang Lin:
Scene Graph to Image Synthesis via Knowledge Consensus. 2856-2865 - Yawen Wu, Zhepeng Wang, Dewen Zeng, Yiyu Shi, Jingtong Hu:
Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning. 2866-2874 - Yuxuan Wu, Le Wang, Sanping Zhou, Jinghai Duan, Gang Hua, Wei Tang:
Multi-Stream Representation Learning for Pedestrian Trajectory Prediction. 2875-2882 - Zhenyu Wu, Lin Wang, Wei Wang, Qing Xia, Chenglizhao Chen, Aimin Hao, Shuo Li:
Pixel Is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection. 2883-2891 - Zizhang Wu, Yunzhe Wu, Jian Pu, Xianzhi Li, Xiaoquan Wang:
Attention-Based Depth Distillation with 3D-Aware Positional Encoding for Monocular 3D Object Detection. 2892-2900 - Jingfei Xia, Mingchen Zhuge, Tiantian Geng, Shun Fan, Yuantai Wei, Zhenyu He, Feng Zheng:
Skating-Mixer: Long-Term Sport Audio-Visual Modeling with MLPs. 2901-2909 - Lujie Xia, Jing Zhao, Ruiqin Xiong, Tiejun Huang:
SVFI: Spiking-Based Video Frame Interpolation for High-Speed Motion. 2910-2918 - Mengfei Xia, Yezhi Shu, Yuji Wang, Yu-Kun Lai, Qiang Li, Pengfei Wan, Zhongyuan Wang, Yong-Jin Liu:
FEditNet: Few-Shot Editing of Latent Semantics in GAN Spaces. 2919-2927 - Kun Xiang, Xing Zhang, Jinwen She, Jinpeng Liu, Haohan Wang, Shiqi Deng, Shancheng Jiang:
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection. 2928-2937 - Haoyu Xie, Changqi Wang, Mingkai Zheng, Minjing Dong, Shan You, Chong Fu, Chang Xu:
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations. 2938-2946 - Jingfen Xie, Jian Zhang:
Less Is More Important: An Attention Module Guided by Probability Density Function for Convolutional Neural Networks. 2947-2955 - Liangbin Xie, Xintao Wang, Shuwei Shi, Jinjin Gu, Chao Dong, Ying Shan:
Mitigating Artifacts in Real-World Video Super-resolution Models. 2956-2964 - Wuyuan Xie, Shukang Wang, Sukun Tian, Lirong Huang, Ye Liu, Miaohui Wang:
Just Noticeable Visual Redundancy Forecasting: A Deep Multimodal-Driven Approach. 2965-2973 - Bowei Xing, Xianghua Ying, Ruibin Wang, Jinfa Yang, Taiyan Chen:
Cross-Modal Contrastive Learning for Domain Adaptation in 3D Semantic Segmentation. 2974-2982 - Daitao Xing, Jinglin Shen, Chiuman Ho, Anthony Tzes:
ROIFormer: Semantic-Aware Region of Interest Transformer for Efficient Self-Supervised Monocular Depth Estimation. 2983-2991 - Hangdi Xing, Feiyu Gao, Rujiao Long, Jiajun Bu, Qi Zheng, Liangcheng Li, Cong Yao, Zhi Yu:
LORE: Logical Location Regression Network for Table Structure Recognition. 2992-3000 - Jiazheng Xing
Revisiting the Spatial and Temporal Modeling for Few-Shot Action Recognition. 3001-3009 - Han Xu, Liang Haochen, Jiayi Ma:
Unsupervised Multi-Exposure Image Fusion Breaking Exposure Limits via Contrastive Learning. 3010-3017 - Jinfeng Xu, Xianzhi Li, Yuan Tang, Qiao Yu
CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion by Dense Feature Fusion. 3018-3026 - Mingjie Xu, Haofei Wang, Feng Lu:
Learning a Generalized Gaze Estimator from Gaze-Consistent Feature. 3027-3035 - Pengcheng Xu, Boyu Wang, Charles Ling:
Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation. 3036-3044 - Rongtao Xu, Changwei Wang, Jiaxi Sun, Shibiao Xu, Weiliang Meng, Xiaopeng Zhang:
Self Correspondence Distillation for End-to-End Weakly-Supervised Semantic Segmentation. 3045-3053 - Xiaogang Xu, Ruixing Wang, Chi-Wing Fu, Jiaya Jia:
Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super Resolution. 3054-3062 - Xixia Xu, Yingguo Gao, Xingjia Pan, Ke Yan, Xiaoyu Chen, Qi Zou:
Inter-image Contrastive Consistency for Multi-Person Pose Estimation. 3063-3071 - Yangyang Xu, Yibo Yang, Lefei Zhang:
DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction. 3072-3080 - Kashu Yamazaki, Khoa Vo, Quang Sang Truong, Bhiksha Raj, Ngan Le
VLTinT: Visual-Linguistic Transformer-in-Transformer for Coherent Video Paragraph Captioning. 3081-3090 - Qingsong Yan
Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity. 3091-3099 - Rui Yan, Mike Zheng Shou, Yixiao Ge, Jinpeng Wang, Xudong Lin, Guanyu Cai, Jinhui Tang:
Video-Text Pre-training with Learned Regions for Retrieval. 3100-3108 - Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Jun Li, Jian Yang:
DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion. 3109-3117 - Di Yang
Self-Supervised Video Representation Learning via Latent Time Navigation. 3118-3126 - Dongbao Yang, Yu Zhou, Xiaopeng Hong, Aoting Zhang, Weiping Wang:
One-Shot Replay: Boosting Incremental Object Detection via Retrospecting One Object. 3127-3135 - Guang Yang, Manling Li, Jiajie Zhang, Xudong Lin, Heng Ji, Shih-Fu Chang:
Video Event Extraction via Tracking Visual States of Arguments. 3136-3144 - Jiange Yang, Sheng Guo, Gangshan Wu, Limin Wang:
CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets. 3145-3154 - Jinhai Yang
Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling. 3155-3163 - Lu Yang, Peng Wang, Yanning Zhang:
Stop-Gradient Softmax Loss for Deep Metric Learning. 3164-3172 - Peiyu Yang
Local Path Integration for Attribution. 3173-3180 - Shangrong Yang, Chunyu Lin, Kang Liao, Yao Zhao:
Spatiotemporal Deformation Perception for Fisheye Video Rectification. 3181-3189 - Siwei Yang, Hanrong Ye, Dan Xu:
Contrastive Multi-Task Dense Prediction. 3190-3197 - Xi Yang, Jie Zhang, Han Fang, Chang Liu, Zehua Ma, Weiming Zhang, Nenghai Yu:
AutoStegaFont: Synthesizing Vector Fonts for Hiding Information in Documents. 3198-3205 - Yang Yang, Yurui Huang, Weili Guo, Baohua Xu, Dingyin Xia:
Towards Global Video Scene Segmentation with Context-Aware Transformer. 3206-3213 - Yong Yang, Wenzhi Xu, Shuying Huang, Weiguo Wan:
Low-Light Image Enhancement Network Based on Multi-Scale Feature Complementation. 3214-3221 - Zhao Yang, Jiaqi Wang, Yansong Tang, Kai Chen, Hengshuang Zhao, Philip H. S. Torr:
Semantics-Aware Dynamic Localization and Refinement for Referring Image Segmentation. 3222-3230 - Dongqiangzi Ye, Zixiang Zhou, Weijia Chen, Yufei Xie, Yu Wang, Panqu Wang, Hassan Foroosh:
LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception. 3231-3240 - Maoyuan Ye, Jing Zhang, Shanshan Zhao, Juhua Liu, Bo Du, Dacheng Tao:
DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer. 3241-3249 - Xinyi Ye, Weiyue Zhao, Hao Lu, Zhiguo Cao:
Learning Second-Order Attentive Context for Efficient Correspondence Pruning. 3250-3258 - Zixuan Ye, Yutong Dai, Chaoyi Hong, Zhiguo Cao, Hao Lu:
Infusing Definiteness into Randomness: Rethinking Composition Styles for Deep Image Matting. 3259-3266 - Sangyeop Yeo, Yoojin Jang, Jy-yong Sohn, Dongyoon Han, Jaejun Yoo:
Can We Find Strong Lottery Tickets in Generative Models? 3267-3275 - Rumeng Yi, Dayan Guan, Yaping Huang, Shijian Lu:
Class-Independent Regularization for Learning with Noisy Labels. 3276-3284 - Kanghoon Yoon, Kibum Kim, Jinyoung Moon, Chanyoung Park:
Unbiased Heterogeneous Scene Graph Generation with Relation-Aware Message Passing Neural Network. 3285-3294 - Chunlin Yu, Ye Shi, Zimo Liu, Shenghua Gao, Jingya Wang:
Lifelong Person Re-identification via Knowledge Refreshing and Consolidation. 3295-3303 - En Yu, Songtao Liu, Zhuoling Li, Jinrong Yang, Zeming Li, Shoudong Han, Wenbing Tao:
Generalizing Multiple Object Tracking to Unseen Domains by Introducing Natural Language Representation. 3304-3312 - Jianhui Yu, Chaoyi Zhang, Weidong Cai:
Rethinking Rotation Invariance with Point Cloud Registration. 3313-3321 - Qing Yu
Frame-Level Label Refinement for Skeleton-Based Weakly-Supervised Action Recognition. 3322-3330 - Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang:
Recurrent Structure Attention Guidance for Depth Super-resolution. 3331-3339 - Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang:
Structure Flow-Guided Network for Real Depth Super-resolution. 3340-3348 - Xiaojian Yuan, Kejiang Chen, Jie Zhang, Weiming Zhang, Nenghai Yu, Yang Zhang:
Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network. 3349-3357 - Haixiao Yue, Keyao Wang, Guosheng Zhang, Haocheng Feng, Junyu Han, Errui Ding, Jingdong Wang:
Cyclically Disentangled Feature Translation for Face Anti-spoofing. 3358-3366 - Hao Zeng, Wei Zhang, Changjie Fan, Tangjie Lv, Suzhen Wang
FlowFace: Semantic Flow-Guided Shape-Aware Face Swapping. 3367-3375 - Yawen Zeng, Qin Jin, Tengfei Bao, Wenfeng Li:
Multi-Modal Knowledge Hypergraph for Diverse Image Retrieval. 3376-3383 - Jucai Zhai, Pengcheng Zeng, Chihao Ma, Jie Chen, Yong Zhao:
Learnable Blur Kernel for Single-Image Defocus Deblurring in the Wild. 3384-3392 - Binjie Zhang, Shupeng Su, Yixiao Ge, Xuyuan Xu, Yexin Wang, Chun Yuan, Mike Zheng Shou, Ying Shan:
Darwinian Model Upgrades: Model Evolving with Selective Compatibility. 3393-3400 - Boxiang Zhang, Zunran Wang, Yonggen Ling, Yuanyuan Guan, Shenghao Zhang, Wenhui Li:
Mx2M: Masked Cross-Modality Modeling in Domain Adaptation for 3D Semantic Segmentation. 3401-3409 - Canyu Zhang, Zhenyao Wu, Xinyi Wu, Ziyu Zhao, Song Wang:
Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network. 3410-3417 - Dingxin Zhang
PaRot: Patch-Wise Rotation-Invariant Network via Feature Disentanglement and Pose Restoration. 3418-3426 - Jiahang Zhang, Lilang Lin, Jiaying Liu:
Hierarchical Consistent Contrastive Learning for Skeleton-Based Action Recognition with Growing Augmentations. 3427-3435 - Jiaming Zhang, Jitao Sang, Qi Yi, Yunfan Yang, Huiwen Dong, Jian Yu:
ImageNet Pre-training Also Transfers Non-robustness. 3436-3444 - Junbo Zhang, Guofan Fan, Guanghan Wang, Zhengyuan Su, Kaisheng Ma, Li Yi:
Language-Assisted 3D Feature Learning for Semantic Scene Understanding. 3445-3453 - Juze Zhang, Ye Shi, Yuexin Ma, Lan Xu, Jingyi Yu, Jingya Wang:
IKOL: Inverse Kinematics Optimization Layer for 3D Human Pose and Shape Estimation via Gauss-Newton Differentiation. 3454-3462 - Lei Zhang, Yuxuan Sun, Wei Wei:
Mind the Gap: Polishing Pseudo Labels for Accurate Semi-supervised Object Detection. 3463-3471 - Shihua Zhang, Jiayi Ma:
ConvMatch: Rethinking Network Design for Two-View Correspondence Learning. 3472-3479 - Xiaohan Zhang
Cross-View Geo-Localization via Learning Disentangled Geometric Layout Correspondence. 3480-3488 - Xinjian Zhang, Su Yang, Wuyang Luo, Longwen Gao, Weishan Zhang
Video Compression Artifact Reduction by Fusing Motion Compensation and Global Context in a Swin-CNN Based Parallel Architecture. 3489-3497 - Yukang Zhang, Yan Yan, Jie Li, Hanzi Wang:
MRCN: A Novel Modality Restitution and Compensation Network for Visible-Infrared Person Re-identification. 3498-3506 - Yunpeng Zhang, Wenzhao Zheng, Zheng Zhu, Guan Huang, Jiwen Lu, Jie Zhou:
A Simple Baseline for Multi-Camera 3D Object Detection. 3507-3515 - Zhemin Zhang, Xun Gong:
Positional Label for Self-Supervised Vision Transformer. 3516-3524 - Zhenduo Zhang:
Cross-Category Highlight Detection via Feature Decomposition and Modality Alignment. 3525-3533 - Zhengming Zhang, Renran Tian
TrEP: Transformer-Based Evidential Prediction for Pedestrian Intention with Uncertainty. 3534-3542 - Zhimeng Zhang, Zhipeng Hu, Wenjin Deng, Changjie Fan, Tangjie Lv, Yu Ding:
DINet: Deformation Inpainting Network for Realistic Face Visually Dubbing on High Resolution Video. 3543-3551 - Zijian Zhang
ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories. 3552-3560 - Bowen Zhao, Chen Chen, Qian-Wei Wang, Anfeng He, Shutao Xia:
Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment. 3561-3569 - Boxuan Zhao, Jun Zhang, Deheng Ye, Jian Cao, Xiao Han, Qiang Fu, Wei Yang:
RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning. 3570-3578 - Jing Zhao, Ruiqin Xiong, Jian Zhang, Rui Zhao, Hangfan Liu
Learning to Super-resolve Dynamic Scenes for Neuromorphic Spike Camera. 3579-3587 - Tianli Zhao, Jiayuan Chen, Cong Leng, Jian Cheng:
TinyNeRF: Towards 100 x Compression of Voxel Radiance Fields. 3588-3596 - Weichao Zhao, Hezhen Hu, Wengang Zhou, Jiaxin Shi, Houqiang Li:
BEST: BERT Pre-training for Sign Language Recognition with Coupling Tokenization. 3597-3605 - Weiqin Zhao, Shujun Wang
MulGT: Multi-Task Graph-Transformer with Task-Aware Knowledge Injection and Domain Knowledge-Driven Pooling for Whole Slide Image Analysis. 3606-3614 - Weisong Zhao, Xiangyu Zhu, Kaiwen Guo, Xiaoyu Zhang, Zhen Lei:
Grouped Knowledge Distillation for Deep Face Recognition. 3615-3623 - Wenda Zhao, Ruikai Yang, Yu Liu, You He:
Style-Content Metric Learning for Multidomain Remote Sensing Object Recognition. 3624-3632 - Xiaoming Zhao, Yuan-Ting Hu, Zhongzheng Ren, Alexander G. Schwing:
Occupancy Planes for Single-View RGB-D Human Reconstruction. 3633-3641 - Yaping Zhao
Deep Equilibrium Models for Snapshot Compressive Imaging. 3642-3650 - Huan Zheng, Tongyao Pang, Hui Ji:
Unsupervised Deep Video Denoising with Untrained Network. 3651-3659 - Jiawen Zheng, Bo Li, Shengchuan Zhang, Shuang Wu, Liujuan Cao, Shouhong Ding:
Attack Can Benefit: An Adversarial Approach to Recognizing Facial Expressions under Noisy Annotations. 3660-3668 - Minghang Zheng, Sizhe Li, Qingchao Chen, Yuxin Peng, Yang Liu
Phrase-Level Temporal Relationship Mining for Temporal Sentence Localization. 3669-3677 - Naishan Zheng, Jie Huang, Man Zhou, Zizheng Yang, Qi Zhu, Feng Zhao:
Learning Semantic Degradation-Aware Guidance for Recognition-Driven Unsupervised Low-Light Image Enhancement. 3678-3686 - Peng Zheng, Jie Qin, Shuo Wang, Tian-Zhu Xiang, Huan Xiong:
Memory-Aided Contrastive Consensus Learning for Co-salient Object Detection. 3687-3695 - Shida Zheng, Chenshu Chen, Xi Yang, Wenming Tan:
MaskBooster: End-to-End Self-Training for Sparsely Supervised Instance Segmentation. 3696-3704 - Fangwei Zhong, Xiao Bi, Yudi Zhang, Wei Zhang, Yizhou Wang:
RSPT: Reconstruct Surroundings and Predict Trajectory for Generalizable Active Object Tracking. 3705-3714 - Weihong Zhong, Mao Zheng, Duyu Tang, Xuan Luo, Heng Gong, Xiaocheng Feng, Bing Qin:
STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training. 3715-3723 - Xian Zhong, Zipeng Li, Shuqin Chen, Kui Jiang, Chen Chen, Mang Ye:
Refined Semantic Enhancement towards Frequency Diffusion for Video Captioning. 3724-3732 - Zhipeng Zhong, Fei Zhou
Aesthetically Relevant Image Captioning. 3733-3741 - Chu Zhou
Polarization-Aware Low-Light Image Enhancement. 3742-3750 - Chuanwei Zhou, Chunyan Xu, Zhen Cui:
Progressive Bayesian Inference for Scribble-Supervised Semantic Segmentation. 3751-3759 - Chuanwei Zhou, Zhen Cui, Chunyan Xu, Cao Han, Jian Yang:
Exploratory Inference Learning for Scribble Supervised Semantic Segmentation. 3760-3768 - Hang Zhou, Junqing Yu, Wei Yang:
Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection. 3769-3777 - Hanyu Zhou, Yi Chang, Gang Chen, Luxin Yan:
Unsupervised Hierarchical Domain Adaptation for Adverse Weather Optical Flow. 3778-3786 - Qihua Zhou, Song Guo, Jun Pan, Jiacheng Liang
PASS: Patch Automatic Skip Scheme for Efficient Real-Time Video Perception on Edge Devices. 3787-3795 - Shengchao Zhou, Gaofeng Meng, Zhaoxiang Zhang, Richard Yi Da Xu
Robust Feature Rectification of Pretrained Vision Models for Object Recognition. 3796-3804 - Siyuan Zhou, Chunru Zhan, Biao Wang, Tiezheng Ge, Yuning Jiang, Li Niu:
Video Object of Interest Segmentation. 3805-3813 - Xinzhe Zhou, Yadong Mu:
Tree-Structured Trajectory Encoding for Vision-and-Language Navigation. 3814-3824 - Yujie Zhou, Haodong Duan, Anyi Rao
Self-Supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences. 3825-3833 - Beier Zhu, Yulei Niu, Saeil Lee, Minhoe Hur, Hanwang Zhang:
Debiased Fine-Tuning for Vision-Language Models by Prompt Regularization. 3834-3842 - Shipeng Zhu, Zuoyan Zhao
Improving Scene Text Image Super-resolution via Dual Prior Modulation Network. 3843-3851 - Wanqing Zhu, Jia-Li Yin, Bo-Hao Chen, Ximeng Liu:
SRoUDA: Meta Self-Training for Robust Unsupervised Domain Adaptation. 3852-3860 - Xiangyuan Zhu, Kehua Guo, Hui Fang, Rui Ding, Zheng Wu, Gerald Schaefer:
Gradient-Based Graph Attention for Scene Text Image Super-resolution. 3861-3869 - Xuefeng Zhu, Tianyang Xu, Zhangyong Tang, Zucheng Wu, Haodong Liu, Xiao Yang, Xiao-Jun Wu, Josef Kittler:
RGBD1K: A Large-Scale Dataset and Benchmark for RGB-D Object Tracking. 3870-3878 - Yaohui Zhu, Linhu Liu, Jiang Tian:
Learn More for Food Recognition via Progressive Self-Distillation. 3879-3887 - Zhiwen Zuo, Lei Zhao, Ailin Li, Zhizhong Wang, Zhanjie Zhang, Jiafu Chen, Wei Xing, Dongming Lu:
Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning. 3888-3896
AAAI Technical Track on Constraint Satisfaction and Optimization
- Kirill Brilliantov, Vasily Alferov, Ivan Bliznets:
Improved Algorithms for Maximum Satisfiability and Its Special Cases. 3898-3905 - Che Cheng, Jie-Hong R. Jiang:
Lifting (D)QBF Preprocessing and Solving Techniques to (D)SSAT. 3906-3914 - Yi Chu, Shaowei Cai, Chuan Luo:
NuWLS: Improving Local Search for (Weighted) Partial MaxSAT by New Weighting Techniques. 3915-3923 - Erel Cohen, Omer Lev, Roie Zivan:
Separate but Equal: Equality in Belief Propagation for Single Cycle Graphs. 3924-3931 - Nadia Creignou, Frédéric Olive, Johannes Schmidt:
Complexity of Reasoning with Cardinality Minimality Conditions. 3932-3940 - Tonmoy Dey, Yixin Chen, Alan Kuhnle:
DASH: A Distributed and Parallelizable Algorithm for Size-Constrained Submodular Maximization. 3941-3948 - Yu-Wei Fan
SharpSSAT: A Witness-Generating Stochastic Boolean Satisfiability Solver. 3949-3958 - Yu-Ran Gu
Submodular Maximization under the Intersection of Matroid and Knapsack Constraints. 3959-3967 - Tesshu Hanaka, Masashi Kiyomi, Yasuaki Kobayashi, Yusuke Kobayashi, Kazuhiro Kurita, Yota Otachi:
A Framework to Design Approximation Algorithms for Finding Diverse Solutions in Combinatorial Problems. 3968-3976 - Yuya Hikima, Yasunori Akagi, Hideaki Kim, Taichi Asami:
An Improved Approximation Algorithm for Wage Determination and Online Task Allocation in Crowd-Sourcing. 3977-3986 - Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee:
Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints. 3987-3995 - Xuanxiang Huang
Solving Explainability Queries with Quantification: The Case of Feature Relevancy. 3996-4006 - Jie-Hong R. Jiang:
Second-Order Quantified Boolean Logic. 4007-4015 - Nan Jiang, Yi Gu, Yexiang Xue:
Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma. 4016-4024 - Yong Lai, Kuldeep S. Meel, Roland H. C. Yap:
Fast Converging Anytime Model Counting. 4025-4034 - Hongbo Li, Jimmy H. M. Lee:
Finding Good Partial Assignments during Restart-Based Branch and Bound Search. 4035-4043 - Yanli Liu
Hybrid Learning with New Value Function for the Maximum Common Induced Subgraph Problem. 4044-4051 - Seonho Park, Pascal Van Hentenryck:
Self-Supervised Primal-Dual Learning for Constrained Optimization. 4052-4060 - Christopher W. F. Parsonson, Alexandre Laterre, Thomas D. Barrett:
Reinforcement Learning for Branch-and-Bound Optimisation Using Retrospective Trajectories. 4061-4069 - Aduri Pavan
Constraint Optimization over Semirings. 4070-4077 - Guillaume Perez, Steve Malalel, Gael Glorian
Generalized Confidence Constraints. 4078-4086 - Franz-Xaver Reichl
Circuit Minimization with QBF-Based Exact Synthesis. 4087-4094 - Alexander A. Semenov, Daniil Chivilikhin, Stepan Kochemazov, Ibragim Dzhiblavi:
Probabilistic Generalization of Backdoor Trees with Application to SAT. 4095-4103 - Ruiwei Wang, Roland H. C. Yap:
The Expressive Power of Ad-Hoc Constraints for Modelling CSPs. 4104-4114 - Yudong Xu, Elias B. Khalil, Scott Sanner:
Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus. 4115-4122 - Jinqiang Yu, Alexey Ignatiev, Peter J. Stuckey, Nina Narodytska, João Marques-Silva:
Eliminating the Impossible, Whatever Remains Must Be True: On Extracting and Applying Background Knowledge in the Context of Formal Explanations. 4123-4131 - Jiongzhi Zheng, Kun He, Jianrong Zhou:
Farsighted Probabilistic Sampling: A General Strategy for Boosting Local Search MaxSAT Solvers. 4132-4139
AAAI Technical Track on Data Mining and Knowledge Management
- Hong-Kyun Bae, Jeewon Ahn, Dongwon Lee
LANCER: A Lifetime-Aware News Recommender System. 4141-4148 - Gaode Chen
Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation. 4149-4156 - Huajie Chen, Jiyuan He
Enhanced Multi-Relationships Integration Graph Convolutional Network for Inferring Substitutable and Complementary Items. 4157-4165 - Jianhao Chen, Junyang Ren, Wentao Ding, Yuzhong Qu:
PaTeCon: A Pattern-Based Temporal Constraint Mining Method for Conflict Detection on Knowledge Graphs. 4166-4172 - Lihan Chen, Tinghui Zhu, Jingping Liu, Jiaqing Liang, Yanghua Xiao:
End-to-End Entity Linking with Hierarchical Reinforcement Learning. 4173-4181 - Mingyang Chen, Wen Zhang, Zhen Yao, Yushan Zhu, Yang Gao, Jeff Z. Pan, Huajun Chen:
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding. 4182-4190 - Zhaoliang Chen, Zhihao Wu, Shiping Wang, Wenzhong Guo:
Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks. 4191-4198 - Junsu Cho, Dongmin Hyun, Dong won Lim, Hyeon jae Cheon, Hyoung-iel Park, Hwanjo Yu:
Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation. 4199-4207 - Chanyoung Chung
Learning Representations of Bi-level Knowledge Graphs for Reasoning beyond Link Prediction. 4208-4216 - Yuanning Cui
Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs. 4217-4224 - Yizhou Dang
Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation. 4225-4232 - Sanjeeb Dash, Joao Goncalves:
Rule Induction in Knowledge Graphs Using Linear Programming. 4233-4241 - Pan Deng, Yu Zhao, Junting Liu, Xiaofeng Jia, Mulan Wang:
Spatio-Temporal Neural Structural Causal Models for Bike Flow Prediction. 4242-4249 - Qishi Dong, Fengwei Zhou, Ning Kang, Chuanlong Xie, Shifeng Zhang, Jiawei Li, Heng Peng, Zhenguo Li:
DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization. 4250-4258 - Wenzhou Dou, Derong Shen, Xiangmin Zhou, Tiezheng Nie, Yue Kou, Hang Cui, Ge Yu:
Soft Target-Enhanced Matching Framework for Deep Entity Matching. 4259-4266 - Taoran Fang, Zhiqing Xiao, Chunping Wang, Jiarong Xu, Xuan Yang, Yang Yang:
DropMessage: Unifying Random Dropping for Graph Neural Networks. 4267-4275 - Letian Gong, Youfang Lin, Shengnan Guo, Yan Lin, Tianyi Wang, Erwen Zheng, Zeyu Zhou
Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning. 4276-4283 - Xumeng Gong, Cheng Yang, Chuan Shi:
MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning. 4284-4292 - Liangzhe Han, Ruixing Zhang, Leilei Sun, Bowen Du, Yanjie Fu, Tongyu Zhu:
Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling. 4293-4301 - Han Huang, Leilei Sun, Bowen Du, Weifeng Lv:
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation. 4302-4311 - Qiang Huang
SAH: Shifting-Aware Asymmetric Hashing for Reverse k Maximum Inner Product Search. 4312-4321 - Yujun Huang, Bin Chen, Shiyu Qin, Jiawei Li, Yaowei Wang, Tao Dai, Shu-Tao Xia:
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain. 4322-4329 - Bo Hui, Yuchen Fang, Tian Xia, Sarp Aykent, Wei-Shinn Ku:
Constrained Market Share Maximization by Signal-Guided Optimization. 4330-4338 - Cuiying Huo, Di Jin, Yawen Li, Dongxiao He, Yu-Bin Yang, Lingfei Wu:
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation. 4339-4346 - Hankyu Jang, Andrew Fu, Jiaming Cui, Methun Kamruzzaman, B. Aditya Prakash, Anil Vullikanti, Bijaya Adhikari, Sriram V. Pemmaraju:
Detecting Sources of Healthcare Associated Infections. 4347-4355 - Jiahao Ji, Jingyuan Wang, Chao Huang, Junjie Wu, Boren Xu, Zhenhe Wu, Junbo Zhang, Yu Zheng:
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction. 4356-4364 - Jiawei Jiang, Chengkai Han, Wayne Xin Zhao, Jingyuan Wang:
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction. 4365-4373 - Wenjun Jiang, Wayne Xin Zhao, Jingyuan Wang, Jiawei Jiang:
Continuous Trajectory Generation Based on Two-Stage GAN. 4374-4382 - Mingxuan Ju, Yujie Fan, Chuxu Zhang, Yanfang Ye:
Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning. 4383-4390 - Wei Ju, Yiyang Gu, Binqi Chen, Gongbo Sun, Yifang Qin, Xingyuming Liu, Xiao Luo, Ming Zhang:
GLCC: A General Framework for Graph-Level Clustering. 4391-4399 - Leon Kellerhals, Tomohiro Koana, Pascal Kunz, Rolf Niedermeier:
Parameterized Algorithms for Colored Clustering. 4400-4408 - Dong Li
Towards Reliable Item Sampling for Recommendation Evaluation. 4409-4416 - Haoxuan Li, Quanyu Dai, Yuru Li, Yan Lyu, Zhenhua Dong, Xiao-Hua Zhou, Peng Wu:
Multiple Robust Learning for Recommendation. 4417-4425 - Jingtao Li, Xinyu Wang, Hengwei Zhao, Shaoyu Wang, Yanfei Zhong:
Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors. 4426-4434 - Shiwei Li
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction. 4435-4443 - Yu Li
Signed Laplacian Graph Neural Networks. 4444-4452 - Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen:
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation. 4453-4461 - Dongding Lin, Jian Wang, Wenjie Li:
COLA: Improving Conversational Recommender Systems by Collaborative Augmentation. 4462-4470 - Longlong Lin, Ronghua Li, Tao Jia:
Scalable and Effective Conductance-Based Graph Clustering. 4471-4478 - Mingkai Lin, Wenzhong Li, Ding Li, Yizhou Chen, Guohao Li, Sanglu Lu:
Multi-Domain Generalized Graph Meta Learning. 4479-4487 - Jiajun Liu, Peng Wang, Ziyu Shang, Chenxiao Wu:
IterDE: An Iterative Knowledge Distillation Framework for Knowledge Graph Embeddings. 4488-4496 - Jiayu Liu, Zhenya Huang, ChengXiang Zhai, Qi Liu:
Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning. 4497-4506 - Yinan Liu, Hu Chen, Wei Shen, Jiaoyan Chen:
Low-Resource Personal Attribute Prediction from Conversations. 4507-4515 - Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan:
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. 4516-4524 - Zemin Liu, Trung-Kien Nguyen, Yuan Fang:
On Generalized Degree Fairness in Graph Neural Networks. 4525-4533 - Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang:
Time Series Contrastive Learning with Information-Aware Augmentations. 4534-4542 - Haoran Luo, Haihong E, Yuhao Yang, Gengxian Zhou, Yikai Guo, Tianyu Yao, Zichen Tang, Xueyuan Lin, Kaiyang Wan:
NQE: N-ary Query Embedding for Complex Query Answering over Hyper-Relational Knowledge Graphs. 4543-4551 - Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong:
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. 4552-4560 - Xiaowei Mao, Huaiyu Wan, Haomin Wen, Fan Wu, Jianbin Zheng, Yuting Qiang, Shengnan Guo, Lixia Wu, Haoyuan Hu, Youfang Lin:
GMDNet: A Graph-Based Mixture Density Network for Estimating Packages' Multimodal Travel Time Distribution. 4561-4568 - Guanglin Niu, Bo Li:
Logic and Commonsense-Guided Temporal Knowledge Graph Completion. 4569-4577 - Guangming Qin, Lexue Song, Yanwei Yu, Chao Huang, Wenzhe Jia, Yuan Cao, Junyu Dong:
Graph Structure Learning on User Mobility Data for Social Relationship Inference. 4578-4586 - Christian Schreckenberger
Online Random Feature Forests for Learning in Varying Feature Spaces. 4587-4595 - Kyuyong Shin, Hanock Kwak, Su Young Kim, Max Nihlén Ramström, Jisu Jeong, Jung-Woo Ha, Kyung-Min Kim:
Scaling Law for Recommendation Models: Towards General-Purpose User Representations. 4596-4604 - Hongzu Su, Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu:
Cross-Domain Adaptative Learning for Online Advertisement Customer Lifetime Value Prediction. 4605-4613 - Guoqiang Sun, Yibin Shen, Sijin Zhou, Xiang Chen, Hongyan Liu, Chunming Wu, Chenyi Lei, Xianhui Wei, Fei Fang:
Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation. 4614-4622 - Haoxin Sun
Opinion Optimization in Directed Social Networks. 4623-4632 - Li Sun, Junda Ye, Hao Peng, Feiyang Wang, Philip S. Yu:
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces. 4633-4642 - Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu:
Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information. 4643-4651 - Dingmin Wang, Yeyuan Chen, Bernardo Cuenca Grau:
Efficient Embeddings of Logical Variables for Query Answering over Incomplete Knowledge Graphs. 4652-4659 - Dongjie Wang, Lingfei Wu, Denghui Zhang, Jingbo Zhou, Leilei Sun, Yanjie Fu:
Human-Instructed Deep Hierarchical Generative Learning for Automated Urban Planning. 4660-4667 - Hongjun Wang, Jiyuan Chen, Tong Pan, Zipei Fan, Xuan Song, Renhe Jiang, Lingyu Zhang, Yi Xie, Zhongyi Wang, Boyuan Zhang:
Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout. 4668-4675 - Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine
Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment. 4676-4684 - Renzhi Wang, Senzhang Wang, Hao Yan, Xiang Wang:
WSiP: Wave Superposition Inspired Pooling for Dynamic Interactions-Aware Trajectory Prediction. 4685-4692 - Shiping Wang, Zhihao Wu, Yuhong Chen, Yong Chen:
Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework. 4693-4701 - Xiaobao Wang, Yiqi Dong, Di Jin, Yawen Li, Longbiao Wang, Jianwu Dang:
Augmenting Affective Dependency Graph via Iterative Incongruity Graph Learning for Sarcasm Detection. 4702-4710 - Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems. 4711-4719 - Di Wu, Shengda Zhuo, Yu Wang
Online Semi-supervised Learning with Mix-Typed Streaming Features. 4720-4728 - Junda Wu
Few-Shot Composition Learning for Image Retrieval with Prompt Tuning. 4729-4737 - Xing Wu, Guangyuan Ma, Meng Lin, Zijia Lin, Zhongyuan Wang, Songlin Hu:
ConTextual Masked Auto-Encoder for Dense Passage Retrieval. 4738-4746 - Yangyang Wu, Xiaoye Miao, Xinyu Huang, Jianwei Yin:
Jointly Imputing Multi-View Data with Optimal Transport. 4747-4755 - Changyi Xiao, Xiangnan He, Yixin Cao:
Knowledge Graph Embedding by Normalizing Flows. 4756-4764 - Yi Xu, Junjie Ou, Hui Xu, Luoyi Fu:
Temporal Knowledge Graph Reasoning with Historical Contrastive Learning. 4765-4773 - Runzhao Yang, Tingxiong Xiao, Yuxiao Cheng, Qianni Cao, Jinyuan Qu, Jinli Suo, Qionghai Dai:
SCI: A Spectrum Concentrated Implicit Neural Compression for Biomedical Data. 4774-4782 - Feng Yao, Jingyuan Zhang, Yating Zhang, Xiaozhong Liu, Changlong Sun, Yun Liu, Weixing Shen:
Unsupervised Legal Evidence Retrieval via Contrastive Learning with Approximate Aggregated Positive. 4783-4791 - Xincheng Yao, Chongyang Zhang, Ruoqi Li, Jun Sun, Zhenyu Liu:
One-for-All: Proposal Masked Cross-Class Anomaly Detection. 4792-4800 - Zhen Yao, Wen Zhang, Mingyang Chen, Yufeng Huang, Yi Yang, Huajun Chen:
Analogical Inference Enhanced Knowledge Graph Embedding. 4801-4808 - Rongzhen Ye, Tianqu Zhuang, Hai Wan, Jianfeng Du, Weilin Luo, Pingjia Liang:
A Noise-Tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving. 4809-4817 - Yuhang Ye
Learning from the Wisdom of Crowds: Exploiting Similar Sessions for Session Search. 4818-4826 - Feiyu Yin, Yong Liu, Zhiqi Shen, Lisi Chen, Shuo Shang, Peng Han:
Next POI Recommendation with Dynamic Graph and Explicit Dependency. 4827-4834 - Le Yu
Predicting Temporal Sets with Simplified Fully Connected Networks. 4835-4844 - Xingtong Yu
Learning to Count Isomorphisms with Graph Neural Networks. 4845-4853 - Yang Yu, Qi Liu, Likang Wu, Runlong Yu
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense. 4854-4863 - Meifang Zeng, Ke Li, Bingchuan Jiang, Liujuan Cao, Hui Li:
Practical Cross-System Shilling Attacks with Limited Access to Data. 4864-4874 - Jin Zhang, Defu Lian, Haodi Zhang, Baoyun Wang, Enhong Chen:
Query-Aware Quantization for Maximum Inner Product Search. 4875-4883 - Linhao Zhang, Li Jin, Xian Sun, Guangluan Xu, Zequn Zhang, Xiaoyu Li, Nayu Liu, Qing Liu, Shiyao Yan:
TOT：Topology-Aware Optimal Transport for Multimodal Hate Detection. 4884-4892 - Qiannan Zhang, Shichao Pei, Qiang Yang
Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator. 4893-4901 - Zijian Zhang
AutoSTL: Automated Spatio-Temporal Multi-Task Learning. 4902-4910 - Chen Zhao, Le Wu, Pengyang Shao, Kun Zhang, Richang Hong, Meng Wang:
Fair Representation Learning for Recommendation: A Mutual Information Perspective. 4911-4919 - Wenting Zhao, Gongping Xu, Zhen Cui, Siqiang Luo, Cheng Long, Tong Zhang:
Deep Graph Structural Infomax. 4920-4928 - Yu Zhao, Pan Deng, Junting Liu, Xiaofeng Jia, Mulan Wang:
Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction. 4929-4936 - Yue Zhao, Guoqing Zheng, Subhabrata Mukherjee, Robert McCann
ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels. 4937-4945 - Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng:
A Provable Framework of Learning Graph Embeddings via Summarization. 4946-4953 - Mengting Zhou, Zhiguo Gong:
GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification. 4954-4962 - Qihang Zhou, Jiming Chen, Haoyu Liu, Shibo He, Wenchao Meng:
Detecting Multivariate Time Series Anomalies with Zero Known Label. 4963-4971 - Silin Zhou, Jing Li, Hao Wang, Shuo Shang, Peng Han:
GRLSTM: Trajectory Similarity Computation with Graph-Based Residual LSTM. 4972-4980 - Silin Zhou, Dan He, Lisi Chen, Shuo Shang, Peng Han:
Heterogeneous Region Embedding with Prompt Learning. 4981-4989
AAAI Technical Track on Domain(s) of Application
- David S. Aleixo, Levi H. S. Lelis:
Show Me the Way! Bilevel Search for Synthesizing Programmatic Strategies. 4991-4998 - Akshay Aravamudan, Xi Zhang, Georgios C. Anagnostopoulos:
Anytime User Engagement Prediction in Information Cascades for Arbitrary Observation Periods. 4999-5009 - Soodeh Atefi, Sakshyam Panda, Emmanouil Panaousis, Aron Laszka:
Principled Data-Driven Decision Support for Cyber-Forensic Investigations. 5010-5017 - Haoyang Bi, Enhong Chen, Weidong He, Han Wu, Weihao Zhao, Shijin Wang, Jinze Wu:
BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning. 5018-5026 - Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu
Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation. 5027-5035 - Yue Cheng, Yanchi Su, Zhuohan Yu
Unsupervised Deep Embedded Fusion Representation of Single-Cell Transcriptomics. 5036-5044 - Zheng Dai, David K. Gifford:
Constrained Submodular Optimization for Vaccine Design. 5045-5053 - Han Fang, Yupeng Qiu, Kejiang Chen, Jiyi Zhang, Weiming Zhang, Ee-Chien Chang:
Flow-Based Robust Watermarking with Invertible Noise Layer for Black-Box Distortions. 5054-5061 - Umberto Grandi, Lawqueen Kanesh, Grzegorz Lisowski, Ramanujan Sridharan, Paolo Turrini:
Identifying and Eliminating Majority Illusion in Social Networks. 5062-5069 - Zixun Guo, Jaeyong Kang, Dorien Herremans:
A Domain-Knowledge-Inspired Music Embedding Space and a Novel Attention Mechanism for Symbolic Music Modeling. 5070-5077 - Jialing He, Jiamou Liu, Zijian Zhang, Yang Chen, Yiwei Liu, Bakh Khoussainov, Liehuang Zhu:
MSDC: Exploiting Multi-State Power Consumption in Non-intrusive Load Monitoring Based on a Dual-CNN Model. 5078-5086 - Peter Henderson, Ben Chugg, Brandon R. Anderson, Kristen M. Altenburger, Alex Turk, John Guyton, Jacob Goldin, Daniel E. Ho:
Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection. 5087-5095 - Cheng Huang, Cong Bai, Sixian Chan, Jinglin Zhang, Yuquan Wu:
MGTCF: Multi-Generator Tropical Cyclone Forecasting with Heterogeneous Meteorological Data. 5096-5104 - Lei Huang
MDM: Molecular Diffusion Model for 3D Molecule Generation. 5105-5112 - Yinjie Jiang, Ying Wei, Fei Wu, Zhengxing Huang, Kun Kuang, Zhihua Wang:
Learning Chemical Rules of Retrosynthesis with Pre-training. 5113-5121 - Pengwei Jin, Di Huang, Rui Zhang, Xing Hu, Ziyuan Nan, Zidong Du, Qi Guo, Yunji Chen:
Online Symbolic Regression with Informative Query. 5122-5130 - Harshit Joshi, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Gust Verbruggen, Ivan Radicek:
Repair Is Nearly Generation: Multilingual Program Repair with LLMs. 5131-5140 - Sein Kim, Namkyeong Lee, Junseok Lee, Dongmin Hyun, Chanyoung Park:
Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis. 5141-5150 - Youngseo Kim, Danushka Edirimanna, Michael Wilbur, Philip Pugliese, Aron Laszka, Abhishek Dubey, Samitha Samaranayake:
Rolling Horizon Based Temporal Decomposition for the Offline Pickup and Delivery Problem with Time Windows. 5151-5159 - Yongju Lee, Hyunho Lee, Kyoungseob Shin, Sunghoon Kwon:
GRIP: Graph Representation of Immune Repertoire Using Graph Neural Network and Transformer. 5160-5168 - Chunyan Li, Junfeng Yao, Jinsong Su, Zhaoyang Liu
LagNet: Deep Lagrangian Mechanics for Plug-and-Play Molecular Representation Learning. 5169-5177 - Guobiao Li, Sheng Li, Meiling Li, Xinpeng Zhang, Zhenxing Qian:
Steganography of Steganographic Networks. 5178-5186 - Shuqi Li, Weiheng Liao, Yuhan Chen, Rui Yan:
PEN: Prediction-Explanation Network to Forecast Stock Price Movement with Better Explainability. 5187-5194 - Xiang Li
Decision-Making Context Interaction Network for Click-Through Rate Prediction. 5195-5202 - Zuchao Li, Ruhan Gong, Yineng Chen, Kehua Su:
Fine-Grained Position Helps Memorizing More, a Novel Music Compound Transformer Model with Feature Interaction Fusion. 5203-5212 - Hongzhan Lin, Pengyao Yi, Jing Ma, Haiyun Jiang, Ziyang Luo, Shuming Shi, Ruifang Liu:
Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning. 5213-5221 - Tomasz Lizurej, Tomasz Michalak, Stefan Dziembowski:
On Manipulating Weight Predictions in Signed Weighted Networks. 5222-5229 - Hengzhi Pei, Jinman Zhao, Leonard Lausen, Sheng Zha, George Karypis:
Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion. 5230-5238 - Weiguo Pian, Hanyu Peng, Xunzhu Tang, Tiezhu Sun, Haoye Tian
MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning. 5239-5247 - Ling Sun, Yuan Rao, Yuqian Lan, Bingcan Xia, Yangyang Li:
HG-SL: Jointly Learning of Global and Local User Spreading Behavior for Fake News Early Detection. 5248-5256 - Xiaofei Sun, Xiaoya Li, Yuxian Meng, Xiang Ao, Lingjuan Lyu, Jiwei Li, Tianwei Zhang:
Defending against Backdoor Attacks in Natural Language Generation. 5257-5265 - Atsushi Takada, Daichi Yamazaki, Yudai Yoshida, Nyamkhuu Ganbat, Takayuki Shimotomai, Naoki Hamada, Likun Liu, Taiga Yamamoto, Daisuke Sakurai:
GenéLive! Generating Rhythm Actions in Love Live! 5266-5275 - Lingfeng Tan, Yunhong Wang, Junfu Wang, Liang Yang, Xunxun Chen, Yuanfang Guo:
Deepfake Video Detection via Facial Action Dependencies Estimation. 5276-5284 - Nikolai Vogler, Kartik Goyal, Kishore PV Reddy, Elizaveta Pertseva, Samuel V. Lemley
Contrastive Attention Networks for Attribution of Early Modern Print. 5285-5293 - Xu Wan, Mingyang Sun, Boli Chen, Zhongda Chu, Fei Teng:
AdapSafe: Adaptive and Safe-Certified Deep Reinforcement Learning-Based Frequency Control for Carbon-Neutral Power Systems. 5294-5302 - Jeremiasz Wolosiuk, Maciej Swiechowski, Jacek Mandziuk:
Don't Predict Counterfactual Values, Predict Expected Values Instead. 5303-5311 - Fang Wu, Dragomir Radev, Stan Z. Li:
Molformer: Motif-Based Transformer on 3D Heterogeneous Molecular Graphs. 5312-5320 - Fang Wu, Stan Z. Li:
DiffMD: A Geometric Diffusion Model for Molecular Dynamics Simulations. 5321-5329 - Shufang Xie, Rui Yan, Junliang Guo, Yingce Xia, Lijun Wu, Tao Qin:
Retrosynthesis Prediction with Local Template Retrieval. 5330-5338 - Zhankun Xiong, Shichao Liu, Feng Huang, Ziyan Wang, Xuan Liu, Zhongfei Zhang, Wen Zhang:
Multi-Relational Contrastive Learning Graph Neural Network for Drug-Drug Interaction Event Prediction. 5339-5347 - Shan Xue, Ye Du, Liang Xu:
Tighter Robust Upper Bounds for Options via No-Regret Learning. 5348-5356 - Kai Yang, Yongxin Xu, Peinie Zou, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie:
KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations. 5357-5365 - Zhichao Yang
Multi-Label Few-Shot ICD Coding as Autoregressive Generation with Prompt. 5366-5374 - Zijiang Yang, Zhongwei Qiu, Dongmei Fu:
DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks. 5375-5383 - Qichao Ying, Xiaoxiao Hu, Yangming Zhou, Zhenxing Qian, Dan Zeng, Shiming Ge:
Bootstrapping Multi-View Representations for Fake News Detection. 5384-5392 - Haoyang Yu, Xovee Xu, Ting Zhong, Fan Zhou:
Overcoming Forgetting in Fine-Grained Urban Flow Inference via Adaptive Knowledge Replay. 5393-5401 - Yuyao Zhai, Liang Chen, Minghua Deng:
Generalized Cell Type Annotation and Discovery for Single-Cell RNA-Seq Data. 5402-5410 - Xinjian Zhang, Su Yang, Yi Xu, Weishan Zhang
Mining and Applying Composition Knowledge of Dance Moves for Style-Concentrated Dance Generation. 5411-5419 - Ruijie Zhao, Mingwei Zhan, Xianwen Deng, Yanhao Wang, Yijun Wang, Guan Gui, Zhi Xue:
Yet Another Traffic Classifier: A Masked Autoencoder Based Traffic Transformer with Multi-Level Flow Representation. 5420-5427 - Sha Zhao, Yongrui Huang, Ling Chen, Chunping Wang, Shijian Li, Lei Chen, Gang Pan:
Loan Fraud Users Detection in Online Lending Leveraging Multiple Data Views. 5428-5436 - Ervine Zheng, Qi Yu, Zhi Zheng
Sparse Maximum Margin Learning from Multimodal Human Behavioral Patterns. 5437-5445 - Hao Zhou
Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing. 5446-5454
AAAI Technical Track on Game Theory and Economic Paradigms
- Itai Arieli, Ivan Geffner, Moshe Tennenholtz:
Mediated Cheap Talk Design. 5456-5463 - Guy Avni, Ismaël Jecker, Dorde Zikelic:
Bidding Graph Games with Partially-Observable Budgets. 5464-5471 - Haris Aziz, Warut Suksompong, Zhaohong Sun, Toby Walsh:
Fairness Concepts for Indivisible Items with Externalities. 5472-5480 - Siddharth Barman, Arindam Khan, Sudarshan Shyam, K. V. N. Sreenivas:
Finding Fair Allocations under Budget Constraints. 5481-5489 - Jake Barrett
Now We're Talking: Better Deliberation Groups through Submodular Optimization. 5490-5498 - Niclas Boehmer, Martin Bullinger, Anna Maria Kerkmann:
Causes of Stability in Dynamic Coalition Formation. 5499-5506 - Niclas Boehmer, Jin-Yi Cai, Piotr Faliszewski
Properties of Position Matrices and Their Elections. 5507-5514 - Niclas Boehmer, Robert Bredereck, Dominik Peters:
Rank Aggregation Using Scoring Rules. 5515-5523 - Markus Brill, Stefan Forster, Martin Lackner
Proportionality in Approval-Based Participatory Budgeting. 5524-5531 - Markus Brill, Hayrullah Dindar, Jonas Israel, Jérôme Lang, Jannik Peters, Ulrike Schmidt-Kraepelin:
Multiwinner Voting with Possibly Unavailable Candidates. 5532-5539 - Xiaolin Bu, Zihao Li, Shengxin Liu, Jiaxin Song, Biaoshuai Tao:
Fair Division with Prioritized Agents. 5540-5548 - Martin Bullinger, Warut Suksompong:
Topological Distance Games. 5549-5556 - Jiehua Chen, Seyedeh Negar Layegh Khavidaki, Sebastian Vincent Haydn, Sofia Simola
Game Implementation: What Are the Obstructions? 5557-5564 - Chen Chu, Zheng Yuan, Shuyue Hu, Chunjiang Mu, Zhen Wang:
A Pair-Approximation Method for Modelling the Dynamics of Multi-Agent Stochastic Games. 5565-5572 - Saar Cohen, Noa Agmon:
Complexity of Probabilistic Inference in Random Dichotomous Hedonic Games. 5573-5581 - Sankarshan Damle, Manisha Padala, Sujit Gujar:
Combinatorial Civic Crowdfunding with Budgeted Agents: Welfare Optimality at Equilibrium and Optimal Deviation. 5582-5590 - Théo Delemazure, Tom Demeulemeester
Strategyproofness and Proportionality in Party-Approval Multiwinner Elections. 5591-5599 - Argyrios Deligkas, John Fearnley, Alexandros Hollender, Themistoklis Melissourgos:
Tight Inapproximability for Graphical Games. 5600-5607 - Xiaotie Deng, Yotam Gafni, Ron Lavi, Tao Lin, Hongyi Ling:
From Monopoly to Competition: Optimal Contests Prevail. 5608-5615 - Anthony DiGiovanni, Jesse Clifton:
Commitment Games with Conditional Information Disclosure. 5616-5623 - Seyed A. Esmaeili, Sharmila Duppala, Davidson Cheng, Vedant Nanda, Aravind Srinivasan, John P. Dickerson:
Rawlsian Fairness in Online Bipartite Matching: Two-Sided, Group, and Individual. 5624-5632 - Roy Fairstein, Gerdus Benadè, Kobi Gal:
Participatory Budgeting Designs for the Real World. 5633-5640 - Simone Fioravanti
PAC Learning and Stabilizing Hedonic Games: Towards a Unifying Approach. 5641-5648 - Mingyu Guo, Max Ward
Scalable Edge Blocking Algorithms for Defending Active Directory Style Attack Graphs. 5649-5656 - Daniel Halpern, Gregory Kehne, Ariel D. Procaccia, Jamie Tucker-Foltz, Manuel Wüthrich:
Representation with Incomplete Votes. 5657-5664 - Yue Han, Christopher Jerrett, Elliot Anshelevich:
Optimizing Multiple Simultaneous Objectives for Voting and Facility Location. 5665-5672 - Hadi Hosseini, Zhiyi Huang, Ayumi Igarashi, Nisarg Shah:
Class Fairness in Online Matching. 5673-5680 - Ayumi Igarashi:
How to Cut a Discrete Cake Fairly. 5681-5688 - Meena Jagadeesan, Michael I. Jordan, Nika Haghtalab:
Competition, Alignment, and Equilibria in Digital Marketplaces. 5689-5696 - Anson Kahng, Mohamad Latifian, Nisarg Shah:
Voting with Preference Intensities. 5697-5704 - Nathaniel Kell, Kevin Sun:
Approximations for Indivisible Concave Allocations with Applications to Nash Welfare Maximization. 5705-5713 - Simon Krogmann
Strategic Facility Location with Clients That Minimize Total Waiting Time. 5714-5721 - Martin Lackner
Proportional Decisions in Perpetual Voting. 5722-5729 - Bo Li, Xiaowei Wu, Chenyang Xu, Ruilong Zhang:
Multiagent MST Cover: Pleasing All Optimally via a Simple Voting Rule. 5730-5738 - Hongbo Li, Lingjie Duan:
When Congestion Games Meet Mobile Crowdsourcing: Selective Information Disclosure. 5739-5746 - Lily Li, Evi Micha, Aleksandar Nikolov, Nisarg Shah:
Partitioning Friends Fairly. 5747-5754 - Zhechen Li, Ao Liu, Lirong Xia, Yongzhi Cao, Hanpin Wang:
Differentially Private Condorcet Voting. 5755-5763 - Chun Kai Ling, J. Zico Kolter, Fei Fang:
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games. 5764-5772 - Zhengyang Liu, Liang Shan
Optimal Pricing Schemes for Identical Items with Time-Sensitive Buyers. 5773-5780 - Xinhang Lu, Jannik Peters, Haris Aziz, Xiaohui Bei, Warut Suksompong:
Approval-Based Voting with Mixed Goods. 5781-5788 - Hongtao Lv, Zhilin Zhang, Zhenzhe Zheng, Jinghan Liu, Chuan Yu, Lei Liu, Lizhen Cui, Fan Wu:
Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising. 5789-5796 - Mengfan Ma, Mingyu Xiao, Tian Bai
Facility Location Games with Entrance Fees. 5797-5804 - Tien Mai, Arunesh Sinha:
Securing Lifelines: Safe Delivery of Critical Services in Areas with Volatile Security Situation via a Stackelberg Game Approach. 5805-5813 - Pasin Manurangsi, Warut Suksompong:
Differentially Private Fair Division. 5814-5822 - Linjian Meng, Zhenxing Ge, Pinzhuo Tian, Bo An, Yang Gao:
An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games. 5823-5831 - Tianlong Nan, Yuan Gao, Christian Kroer:
Fast and Interpretable Dynamics for Fisher Markets via Block-Coordinate Updates. 5832-5840 - Kiran Tomlinson, Johan Ugander, Jon M. Kleinberg:
Ballot Length in Instant Runoff Voting. 5841-5849 - Xuezhen Wang, Vincent Chau, Hau Chan, Ken C. K. Fong, Minming Li:
Multi-Stage Facility Location Problems with Transient Agents. 5850-5857 - Jakob Weissteiner, Jakob Heiss
Bayesian Optimization-Based Combinatorial Assignment. 5858-5866 - Lirong Xia:
Semi-random Impossibilities of Condorcet Criterion. 5867-5875 - Meirav Zehavi:
Tournament Fixing Parameterized by Feedback Vertex Set Number Is FPT. 5876-5883 - Jinshan Zhang, Zhengyang Liu, Xiaotie Deng, Jianwei Yin:
Truthful Mechanisms for Steiner Tree Problems. 5884-5891 - Youjia Zhang, Pingzhong Tang:
Collusion-Proof and Sybil-Proof Reward Mechanisms for Query Incentive Networks. 5892-5899 - Jiayi Zhao, Denizalp Goktas, Amy Greenwald:
Fisher Markets with Social Influence. 5900-5909 - Zijian Zhou, Xinyi Xu, Rachael Hwee Ling Sim, Chuan Sheng Foo, Bryan Kian Hsiang Low:
Probably Approximate Shapley Fairness with Applications in Machine Learning. 5910-5918
AAAI Technical Track on Humans and AI
- Serena Booth, W. Bradley Knox, Julie Shah, Scott Niekum, Peter Stone, Alessandro Allievi:
The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications. 5920-5929 - Aidan Boyd, Patrick Tinsley, Kevin W. Bowyer, Adam Czajka:
The Value of AI Guidance in Human Examination of Synthetically-Generated Faces. 5930-5938 - Mustafa Mert Çelikok, Pierre-Alexandre Murena
Teaching to Learn: Sequential Teaching of Learners with Internal States. 5939-5947 - Kushal Chauhan, Rishabh Tiwari, Jan Freyberg, Pradeep Shenoy, Krishnamurthy Dvijotham:
Interactive Concept Bottleneck Models. 5948-5955 - Violet Xinying Chen, Joshua Williams, Derek Leben, Hoda Heidari:
Local Justice and Machine Learning: Modeling and Inferring Dynamic Ethical Preferences toward Allocations. 5956-5964 - Tao Fang, Qian Zheng, Yu Qi, Gang Pan:
Extracting Semantic-Dynamic Features for Long-Term Stable Brain Computer Interface. 5965-5973 - Michael Feffer, Hoda Heidari, Zachary C. Lipton:
Moral Machine or Tyranny of the Majority? 5974-5982 - Gaurav R. Ghosal, Matthew Zurek, Daniel S. Brown, Anca D. Dragan:
The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types. 5983-5992 - Nikolos Gurney, John H. Miller, David V. Pynadath:
The Role of Heuristics and Biases during Complex Choices with an AI Teammate. 5993-6001 - Patrick Hemmer, Lukas Thede, Michael Vössing, Johannes Jakubik, Niklas Kühl:
Learning to Defer with Limited Expert Predictions. 6002-6011 - Rong Hu, Ling Chen, Shenghuan Miao, Xing Tang:
SWL-Adapt: An Unsupervised Domain Adaptation Model with Sample Weight Learning for Cross-User Wearable Human Activity Recognition. 6012-6020 - Xiangping Kang, Guoxian Yu, Jun Wang, Wei Guo, Carlotta Domeniconi, Jinglin Zhang:
Incentive-Boosted Federated Crowdsourcing. 6021-6029 - Young-Eun Lee, Seo-Hyun Lee, Sang-Ho Kim, Seong-Whan Lee:
Towards Voice Reconstruction from EEG during Imagined Speech. 6030-6038 - Stephan J. Lemmer, Jason J. Corso
Evaluating and Improving Interactions with Hazy Oracles. 6039-6047 - Zepeng Li, Dongxiang Zhang, Yanyan Shen, Gang Chen:
Human-in-the-Loop Vehicle ReID. 6048-6055 - Zhuoyan Li, Zhuoran Lu, Ming Yin:
Modeling Human Trust and Reliance in AI-Assisted Decision Making: A Markovian Approach. 6056-6064 - Bingjun Luo, Junjie Zhu, Tianyu Yang, Sicheng Zhao, Chao Hu, Xibin Zhao, Yue Gao:
Learning Deep Hierarchical Features with Spatial Regularization for One-Class Facial Expression Recognition. 6065-6073 - Reshef Meir, Ofra Amir, Omer Ben-Porat, Tsviel Ben Shabat, Gal Cohensius, Lirong Xia:
Frustratingly Easy Truth Discovery. 6074-6083 - Jingyu Sun, Hongjie Zhai, Osamu Saisho, Susumu Takeuchi:
Beam Search Optimized Batch Bayesian Active Learning. 6084-6091 - Lintao Wang
Multi-Scale Control Signal-Aware Transformer for Motion Synthesis without Phase. 6092-6100 - Shizun Wang, Weihong Zeng, Xu Wang, Hao Yang, Li Chen, Chuang Zhang, Ming Wu, Yi Yuan, Yunzhao Zeng, Min Zheng, Jing Liu:
SwiftAvatar: Efficient Auto-Creation of Parameterized Stylized Character on Arbitrary Avatar Engines. 6101-6109 - Dong Wei, Huaijiang Sun, Bin Li, Jianfeng Lu, Weiqing Li, Xiaoning Sun, Shengxiang Hu
Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction. 6110-6118 - Samuel Westby, Christoph Riedl
Collective Intelligence in Human-AI Teams: A Bayesian Theory of Mind Approach. 6119-6127 - Yinjun Wu, Adam Stein, Jacob Gardner, Mayur Naik:
Learning to Select Pivotal Samples for Meta Re-weighting. 6128-6136 - Hedayat Zarkoob, Greg d'Eon, Lena Podina, Kevin Leyton-Brown:
Better Peer Grading through Bayesian Inference. 6137-6144 - Rui Zhao, Jinming Song, Yufeng Yuan, Haifeng Hu, Yang Gao, Yi Wu, Zhongqian Sun, Wei Yang:
Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination. 6145-6153
AAAI Technical Track on Intelligent Robotics
- Inhwan Bae
A Set of Control Points Conditioned Pedestrian Trajectory Prediction. 6155-6165 - Qiongjie Cui, Huaijiang Sun, Jianfeng Lu, Bin Li, Weiqing Li:
Meta-Auxiliary Learning for Adaptive Human Pose Prediction. 6166-6174 - Shubhankar Gupta
Moving-Landmark Assisted Distributed Learning Based Decentralized Cooperative Localization (DL-DCL) with Fault Tolerance. 6175-6182 - Kazumi Kasaura, Ryo Yonetani, Mai Nishimura:
Periodic Multi-Agent Path Planning. 6183-6191 - Xuyang Li
Improving Robotic Tactile Localization Super-resolution via Spatiotemporal Continuity Learning and Overlapping Air Chambers. 6192-6199 - Chang Rajani
Co-imitation: Learning Design and Behaviour by Imitation. 6200-6208 - Sijie Wang, Qiyu Kang, Rui She
RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments. 6209-6216
AAAI Technical Track on Knowledge Representation and Reasoning
- Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna:
Abstract Argumentation Framework with Conditional Preferences. 6218-6227 - Benjamin Aminof, Giuseppe De Giacomo, Sasha Rubin:
Reactive Synthesis of Dominant Strategies. 6228-6235 - Alessandro Artale, Luca Geatti, Nicola Gigante, Andrea Mazzullo, Angelo Montanari:
Complexity of Safety and coSafety Fragments of Linear Temporal Logic. 6236-6244 - Francesco Belardinelli, Ioana Boureanu, Vadim Malvone, Fortunat Rajaona
Automatically Verifying Expressive Epistemic Properties of Programs. 6245-6252 - Michael Bernreiter, Wolfgang Dvorák, Anna Rapberger, Stefan Woltran:
The Effect of Preferences in Abstract Argumentation under a Claim-Centric View. 6253-6261 - Václav Blazej, Robert Ganian, Dusan Knop, Jan Pokorný
The Parameterized Complexity of Network Microaggregation. 6262-6270 - Diego Calvanese, Alessandro Gianola
SMT Safety Verification of Ontology-Based Processes. 6271-6279 - Gianluca Cima, Marco Console, Maurizio Lenzerini, Antonella Poggi
Epistemic Disjunctive Datalog for Querying Knowledge Bases. 6280-6288 - Andrew Cropper, Céline Hocquette:
Learning Logic Programs by Discovering Where Not to Search. 6289-6296 - Mateus de Oliveira Oliveira, Farhad Vadiee:
From Width-Based Model Checking to Width-Based Automated Theorem Proving. 6297-6304 - Stéphane Demri, Raul Fervari:
Model-Checking for Ability-Based Logics with Constrained Plans. 6305-6312 - Eduard Eiben, Robert Ganian, Thekla Hamm, Viktoriia Korchemna:
A Structural Complexity Analysis of Synchronous Dynamical Systems. 6313-6321 - Wolfgang Faber, Michael Morak:
Evaluating Epistemic Logic Programs via Answer Set Programming with Quantifiers. 6322-6329 - Marco Faella, Gennaro Parlato:
Reachability Games Modulo Theories with a Bounded Safety Player. 6330-6337 - Jorge Fandinno, Yuliya Lierler:
Splitting Answer Set Programs with Respect to Intensionality Statements. 6338-6345 - Paolo Felli, Marco Montali, Fabio Patrizi
Monitoring Arithmetic Temporal Properties on Finite Traces. 6346-6354 - David Fernández-Duque, Yoàv Montacute
Untangled: A Complete Dynamic Topological Logic. 6355-6362 - Johannes Klaus Fichte, Markus Hecher, Stefan Szeider
Inconsistent Cores for ASP: The Perks and Perils of Non-monotonicity. 6363-6371 - Lukas Gerlach, David Carral:
General Acyclicity and Cyclicity Notions for the Disjunctive Skolem Chase. 6372-6379 - Zhouhong Gu, Sihang Jiang, Jingping Liu, Yanghua Xiao, Hongwei Feng, Zhixu Li, Jiaqing Liang, Jian Zhong:
GANTEE: Generative Adversarial Network for Taxonomy Enterance Evaluation. 6380-6388 - Ricardo Guimarães, Ana Ozaki, Jandson S. Ribeiro
Finite Based Contraction and Expansion via Models. 6389-6397 - Qianyu He, Xintao Wang, Jiaqing Liang, Yanghua Xiao:
MAPS-KB: A Million-Scale Probabilistic Simile Knowledge Base. 6398-6406 - Markus Hecher:
Characterizing Structural Hardness of Logic Programs: What Makes Cycles and Reachability Hard for Treewidth? 6407-6415 - Jesse Heyninck
Conditional Syntax Splitting for Non-monotonic Inference Operators. 6416-6424 - Céline Hocquette, Andrew Cropper:
Relational Program Synthesis with Numerical Reasoning. 6425-6433 - Merlin Humml, Lutz Schröder:
Common Knowledge of Abstract Groups. 6434-6441 - Viet-Man Le, Cristian Vidal Silva, Alexander Felfernig, David Benavides, José A. Galindo, Thi Ngoc Trang Tran:
FASTDIAGP: An Algorithm for Parallelized Direct Diagnosis. 6442-6449 - Likang Liu, Keke Sun, Chunlai Zhou, Yuan Feng:
Two Views of Constrained Differential Privacy: Belief Revision and Update. 6450-6457 - Tengjun Liu, Ying Chen, Wanxuan Gu:
Copyright-Certified Distillation Dataset: Distilling One Million Coins into One Bitcoin with Your Private Key. 6458-6466 - Haoran Luo, Haihong E, Ling Tan, Gengxian Zhou, Tianyu Yao, Kaiyang Wan:
DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typing. 6467-6474 - Kailun Luo:
Automated Verification of Propositional Agent Abstraction for Classical Planning via CTLK Model Checking. 6475-6482 - Carsten Lutz, Marcin Przybylko:
Efficient Answer Enumeration in Description Logics with Functional Roles. 6483-6490 - Avraham Natan, Roni Stern, Meir Kalech:
Distributed Spectrum-Based Fault Localization. 6491-6498 - Yixin Ren, Hao Zhang, Yewei Xia, Jihong Guan, Shuigeng Zhou:
Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance. 6499-6506 - Rajarshi Roy, Jean-Raphaël Gaglione, Nasim Baharisangari, Daniel Neider, Zhe Xu, Ufuk Topcu:
Learning Interpretable Temporal Properties from Positive Examples Only. 6507-6515 - Nicolas Schwind, Katsumi Inoue, Pierre Marquis
Editing Boolean Classifiers: A Belief Change Perspective. 6516-6524 - Meliha Sezgin, Gabriele Kern-Isberner:
Implementing Bounded Revision via Lexicographic Revision and C-revision. 6525-6532 - Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui:
Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer. 6533-6540 - Alice Tarzariol
Learning to Break Symmetries for Efficient Optimization in Answer Set Programming. 6541-6549 - Matthias Thimm:
On Undisputed Sets in Abstract Argumentation. 6550-6557 - Son N. Tran, Artur S. d'Avila Garcez:
Neurosymbolic Reasoning and Learning with Restricted Boltzmann Machines. 6558-6565 - Przemyslaw Andrzej Walega, Michal Zawidzki
Materialisation-Based Reasoning in DatalogMTL with Bounded Intervals. 6566-6574 - Hui Yang
Efficient Extraction of EL-Ontology Deductive Modules. 6575-6582 - Yuan Yao, Tianyu Yu, Ao Zhang, Mengdi Li
Visually Grounded Commonsense Knowledge Acquisition. 6583-6592 - Songlin Zhai, Weiqing Wang, Yuan-Fang Li, Yuan Meng:
DNG: Taxonomy Expansion by Exploring the Intrinsic Directed Structure on Non-gaussian Space. 6593-6601 - Chongsheng Zhang, Yaxin Hou, Ke Chen, Shuang Cao, Gaojuan Fan, Ji Liu:
Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data. 6602-6611 - Yifei Zhang, Neng Gao, Cunqing Ma:
Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling. 6612-6620 - Daoming Zong, Shiliang Sun:
McOmet: Multimodal Fusion Transformer for Physical Audiovisual Commonsense Reasoning. 6621-6629
AAAI Technical Track on Machine Learning I
- Javier Abad Martinez
Approximating Full Conformal Prediction at Scale via Influence Functions. 6631-6639 - Afshin Abdi, Saeed Rashidi, Faramarz Fekri
Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning. 6640-6648 - Mahed Abroshan, Saumitra Mishra, Mohammad Mahdi Khalili:
Symbolic Metamodels for Interpreting Black-Boxes Using Primitive Functions. 6649-6657 - Jacob Adamczyk, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni:
Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning. 6658-6665 - Akanksha Agrawal, Tanmay Inamdar, Saket Saurabh, Jie Xue:
Clustering What Matters: Optimal Approximation for Clustering with Outliers. 6666-6674 - Rahaf Aljundi, Yash Patel, Milan Sulc, Nikolay Chumerin, Daniel Olmeda Reino:
Contrastive Classification and Representation Learning with Probabilistic Interpretation. 6675-6683 - Divyam Anshumaan, Sriram Balasubramanian, Shubham Tiwari, Nagarajan Natarajan, Sundararajan Sellamanickam, Venkat N. Padmanabhan:
Simulating Network Paths with Recurrent Buffering Units. 6684-6692 - Vashist Avadhanula, Andrea Celli, Riccardo Colini-Baldeschi, Stefano Leonardi, Matteo Russo
Fully Dynamic Online Selection through Online Contention Resolution Schemes. 6693-6700 - Dmitrii Avdiukhin, Grigory Yaroslavtsev, Danny Vainstein, Orr Fischer, Sauman Das, Faraz Mirza:
Tree Learning: Optimal Sample Complexity and Algorithms. 6701-6708 - Mohammad Javad Azizi, Branislav Kveton, Mohammad Ghavamzadeh, Sumeet Katariya:
Meta-Learning for Simple Regret Minimization. 6709-6717 - Davide Bacciu, Alessio Conte, Francesco Landolfi:
Generalizing Downsampling from Regular Data to Graphs. 6718-6727 - Fengshuo Bai, Hongming Zhang, Tianyang Tao, Zhiheng Wu, Yanna Wang, Bo Xu:
PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction. 6728-6736 - Qinbo Bai, Amrit Singh Bedi, Vaneet Aggarwal:
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm. 6737-6744 - Kiarash Banihashem, Mohammad Hajiaghayi, Max Springer:
Optimal Sparse Recovery with Decision Stumps. 6745-6752 - Hongyan Bao
Towards Efficient and Domain-Agnostic Evasion Attack with High-Dimensional Categorical Inputs. 6753-6761 - Siddharth Barman, Arindam Khan, Arnab Maiti, Ayush Sawarni:
Fairness and Welfare Quantification for Regret in Multi-Armed Bandits. 6762-6769 - Afrad Basheer, Yuan Feng, Christopher Ferrie, Sanjiang Li:
Alternating Layered Variational Quantum Circuits Can Be Classically Optimized Efficiently Using Classical Shadows. 6770-6778 - Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Toyotaro Suzumura, Manish Singh:
Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions. 6779-6787 - Sourya Basu, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Vijil Chenthamarakshan, Kush R. Varshney, Lav R. Varshney, Payel Das:
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models. 6788-6796 - Somnath Basu Roy Chowdhury, Snigdha Chaturvedi:
Sustaining Fairness via Incremental Learning. 6797-6805 - Lucas Berry, David Meger:
Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling. 6806-6814 - Marcin Bienkowski, Marcin Mucha
An Improved Algorithm for Online Min-Sum Set Cover. 6815-6822 - Garrett Bingham, Risto Miikkulainen:
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks. 6823-6833 - Cornelius Brand, Robert Ganian, Kirill Simonov:
A Parameterized Theory of PAC Learning. 6834-6841 - Marco Bressan, Gabriel Damay, Mauro Sozio:
Fully-Dynamic Decision Trees. 6842-6849 - Davide Buffelli
Scalable Theory-Driven Regularization of Scene Graph Generation Models. 6850-6859 - Federico Cabitza, Andrea Campagner, Valerio Basile:
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing. 6860-6868 - Shaotian Cai, Liping Qiu, Xiaojun Chen, Qin Zhang, Longteng Chen:
Semantic-Enhanced Image Clustering. 6869-6878 - Yuanying Cai, Chuheng Zhang, Wei Shen, Xuyun Zhang
RePreM: Representation Pre-training with Masked Model for Reinforcement Learning. 6879-6887 - Bowen Cao, Qichen Ye, Weiyuan Xu, Yuexian Zou:
FTM: A Frame-Level Timeline Modeling Method for Temporal Graph Representation Learning. 6888-6896 - Defu Cao, James Enouen, Yujing Wang, Xiangchen Song, Chuizheng Meng, Hao Niu, Yan Liu:
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders. 6897-6905 - Haizhou Cao, Zhenhao Huang
InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting. 6906-6915 - Yukun Cao, Yuan Feng
Meta-Sketch: A Neural Data Structure for Estimating Item Frequencies of Data Streams. 6916-6924 - Zachariah Carmichael, Walter J. Scheirer:
Unfooling Perturbation-Based Post Hoc Explainers. 6925-6934 - Miguel Á. Carreira-Perpiñán, Suryabhan Singh Hada:
Very Fast, Approximate Counterfactual Explanations for Decision Forests. 6935-6943 - Alberto Castaño, Jaime Alonso
An Equivalence Analysis of Binary Quantification Methods. 6944-6952 - Matheus Centa, Philippe Preux:
Soft Action Priors: Towards Robust Policy Transfer. 6953-6961 - Mattia Cerrato, Marius Köppel, Roberto Esposito, Stefan Kramer:
Invariant Representations with Stochastically Quantized Neural Networks. 6962-6970 - Edoardo Cetin, Oya Çeliktutan:
Learning Pessimism for Reinforcement Learning. 6971-6979 - Souradip Chakraborty, Amrit Singh Bedi, Pratap Tokekar, Alec Koppel, Brian M. Sadler, Furong Huang, Dinesh Manocha:
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning. 6980-6988 - Cristian Challu, Kin G. Olivares, Boris N. Oreshkin, Federico Garza Ramírez, Max Mergenthaler Canseco, Artur Dubrawski:
NHITS: Neural Hierarchical Interpolation for Time Series Forecasting. 6989-6997 - Kai-Shiang Chang, Wei-Yao Wang, Wen-Chih Peng:
Where Will Players Move Next? Dynamic Graphs and Hierarchical Fusion for Movement Forecasting in Badminton. 6998-7005 - Michail Chatzianastasis, Johannes F. Lutzeyer, George Dasoulas, Michalis Vazirgiannis:
Graph Ordering Attention Networks. 7006-7014 - Aravinth Chembu, Scott Sanner, Hassan Khurram, Akshat Kumar:
Scalable and Globally Optimal Generalized L₁ K-center Clustering via Constraint Generation in Mixed Integer Linear Programming. 7015-7023 - Jialu Chen
Attribute and Structure Preserving Graph Contrastive Learning. 7024-7032 - Jun Chen, Hong Chen, Xue Jiang, Bin Gu, Weifu Li, Tieliang Gong, Feng Zheng:
On the Stability and Generalization of Triplet Learning. 7033-7041 - Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, Rongrong Ji:
CF-ViT: A General Coarse-to-Fine Method for Vision Transformer. 7042-7052 - Qianyu Chen
Context-Aware Safe Medication Recommendations with Molecular Graph and DDI Graph Embedding. 7053-7060 - Qingyun Chen, Sungjin Im, Benjamin Moseley, Chenyang Xu, Ruilong Zhang:
Min-Max Submodular Ranking for Multiple Agents. 7061-7068 - Xi Chen, Cheng Ge, Ming Wang, Jin Wang:
Supervised Contrastive Few-Shot Learning for High-Frequency Time Series. 7069-7077 - Xing Chen
The Sufficiency of Off-Policyness and Soft Clipping: PPO Is Still Insufficient according to an Off-Policy Measure. 7078-7086 - Xuyang Chen, Jingliang Duan, Yingbin Liang, Lin Zhao:
Global Convergence of Two-Timescale Actor-Critic for Solving Linear Quadratic Regulator. 7087-7095 - Yuzhou Chen, Yulia R. Gel:
Topological Pooling on Graphs. 7096-7103 - Ziheng Chen, Tianyang Xu, Xiao-Jun Wu, Rui Wang, Zhiwu Huang, Josef Kittler:
Riemannian Local Mechanism for SPD Neural Networks. 7104-7112 - Bo Cheng, Ximing Li, Yi Chang:
TC-DWA: Text Clustering with Dual Word-Level Augmentation. 7113-7121 - Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le:
Causal Inference with Conditional Instruments Using Deep Generative Models. 7122-7130 - Jiashun Cheng, Man Li, Jia Li, Fugee Tsung:
Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning. 7131-7139 - Xin Cheng
Partial-Label Regression. 7140-7147 - Zhihao Cheng, Kaining Zhang, Li Shen, Dacheng Tao:
Offline Quantum Reinforcement Learning in a Conservative Manner. 7148-7156 - Jinjin Chi, Zhiyao Yang, Ximing Li, Jihong Ouyang, Renchu Guan:
Variational Wasserstein Barycenters with C-cyclical Monotonicity Regularization. 7157-7165 - Hung-Yueh Chiang, Natalia Frumkin, Feng Liang, Diana Marculescu
MobileTL: On-Device Transfer Learning with Inverted Residual Blocks. 7166-7174 - Moulik Choraria, Ibtihal Ferwana, Ankur Mani, Lav R. Varshney:
Learning Optimal Features via Partial Invariance. 7175-7183 - Ranak Roy Chowdhury
PrimeNet: Pre-training for Irregular Multivariate Time Series. 7184-7192 - Dejun Chu, Changshui Zhang, Shiliang Sun, Qing Tao:
Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation. 7193-7201 - Sergei Chubanov:
On the Complexity of PAC Learning in Hilbert Spaces. 7202-7209 - Vikram S. Chundawat
Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks Using an Incompetent Teacher. 7210-7217 - Andrea Cini, Ivan Marisca, Filippo Maria Bianchi, Cesare Alippi:
Scalable Spatiotemporal Graph Neural Networks. 7218-7226 - Roberto Cipollone, Giuseppe De Giacomo, Marco Favorito
Exploiting Multiple Abstractions in Episodic RL via Reward Shaping. 7227-7234 - Edith Cohen, Jelani Nelson, Tamás Sarlós, Uri Stemmer:
Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive Inputs. 7235-7243 - Alvaro H. C. Correia, Gennaro Gala, Erik Quaeghebeur
Continuous Mixtures of Tractable Probabilistic Models. 7244-7252 - Rares Cristian, Pavithra Harsha, Georgia Perakis, Brian Leo Quanz, Ioannis Spantidakis:
End-to-End Learning for Optimization via Constraint-Enforcing Approximators. 7253-7260 - Shuang Cui
Practical Parallel Algorithms for Submodular Maximization Subject to a Knapsack Constraint with Nearly Optimal Adaptivity. 7261-7269 - Wenhai Cui
Opposite Online Learning via Sequentially Integrated Stochastic Gradient Descent Estimators. 7270-7278 - Wentao Cui, Liang Bai:
Contrastive Learning with the Feature Reconstruction Amplifier. 7279-7287 - Juntao Dai, Jiaming Ji, Long Yang, Qian Zheng, Gang Pan:
Augmented Proximal Policy Optimization for Safe Reinforcement Learning. 7288-7295 - Songmin Dai, Xiaoqiang Li, Yue Zhou, Xichen Ye, Tong Liu:
GradPU: Positive-Unlabeled Learning via Gradient Penalty and Positive Upweighting. 7296-7303 - Weihang Dai, Xiaomeng Li, Kwang-Ting Cheng:
Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks. 7304-7313 - Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu:
Tackling Data Heterogeneity in Federated Learning with Class Prototypes. 7314-7322 - Kishalay Das, Bidisha Samanta, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly:
CrysGNN: Distilling Pre-trained Knowledge to Enhance Property Prediction for Crystalline Materials. 7323-7331 - Wei Deng, Qian Zhang, Qi Feng, Faming Liang, Guang Lin:
Non-reversible Parallel Tempering for Deep Posterior Approximation. 7332-7339 - Xiaoge Deng, Tao Sun, Shengwei Li, Dongsheng Li:
Stability-Based Generalization Analysis of the Asynchronous Decentralized SGD. 7340-7348 - Prathamesh Dharangutte, Jie Gao, Ruobin Gong, Fang-Yi Yu
Integer Subspace Differential Privacy. 7349-7357 - Daizong Ding, Mi Zhang, Fuli Feng, Yuanmin Huang, Erling Jiang, Min Yang:
Black-Box Adversarial Attack on Time Series Classification. 7358-7368 - Fangyu Ding, Junchi Yan, Haiyang Wang:
C-NTPP: Learning Cluster-Aware Neural Temporal Point Process. 7369-7377 - Kaize Ding, Yancheng Wang, Yingzhen Yang, Huan Liu:
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning. 7378-7386 - Wei Ding, Siyang Jiang, Hsi-Wen Chen, Ming-Syan Chen:
Incremental Reinforcement Learning with Dual-Adaptive ε-Greedy Exploration. 7387-7395 - Yuhao Ding, Javad Lavaei:
Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints. 7396-7404 - Yuhao Ding, Ming Jin, Javad Lavaei:
Non-stationary Risk-Sensitive Reinforcement Learning: Near-Optimal Dynamic Regret, Adaptive Detection, and Separation Design. 7405-7413 - Zixiang Ding, Guoqing Jiang, Shuai Zhang, Lin Guo, Wei Lin:
SKDBERT: Compressing BERT via Stochastic Knowledge Distillation. 7414-7422 - Kefan Dong, Yannis Flet-Berliac, Allen Nie, Emma Brunskill:
Model-Based Offline Reinforcement Learning with Local Misspecification. 7423-7431 - Ruo-Jing Dong, Jun-Yi Hang, Tong Wei, Min-Ling Zhang:
Can Label-Specific Features Help Partial-Label Learning? 7432-7440 - Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li:
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution. 7441-7449 - Yuxin Dong, Tieliang Gong, Shujian Yu, Hong Chen, Chen Li:
Robust and Fast Measure of Information via Low-Rank Representation. 7450-7458 - Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu, Zhibin Dong
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View. 7459-7467 - Bao Duong, Thin Nguyen
Diffeomorphic Information Neural Estimation. 7468-7475 - Katharina Ensinger, Sebastian Ziesche, Barbara Rakitsch, Michael Tiemann, Sebastian Trimpe:
Combining Slow and Fast: Complementary Filtering for Dynamics Learning. 7476-7484 - Andrew Estornell, Sanmay Das, Brendan Juba, Yevgeniy Vorobeychik:
Popularizing Fairness: Group Fairness and Individual Welfare. 7485-7493 - Yahya H. Ezzeldin, Shen Yan, Chaoyang He, Emilio Ferrara, Amir Salman Avestimehr:
FairFed: Enabling Group Fairness in Federated Learning. 7494-7502 - Francesco Faccio, Vincent Herrmann, Aditya A. Ramesh, Louis Kirsch, Jürgen Schmidhuber:
Goal-Conditioned Generators of Deep Policies. 7503-7511 - Shaohua Fan, Shuyang Zhang, Xiao Wang, Chuan Shi:
Directed Acyclic Graph Structure Learning from Dynamic Graphs. 7512-7521 - Wei Fan, Pengyang Wang, Dongkun Wang, Dongjie Wang, Yuanchun Zhou, Yanjie Fu:
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting. 7522-7529 - Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li:
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling. 7530-7538 - Zhongxi Fang, Jianming Huang, Xun Su, Hiroyuki Kasai:
Wasserstein Graph Distance Based on L1-Approximated Tree Edit Distance between Weisfeiler-Lehman Subtrees. 7539-7549 - Shi Feng, Wei Chen:
Combinatorial Causal Bandits. 7550-7558 - Chakib Fettal, Lazhar Labiod, Mohamed Nadif:
Scalable Attributed-Graph Subspace Clustering. 7559-7567 - Stefano Fiorini, Stefano Coniglio
SigMaNet: One Laplacian to Rule Them All. 7568-7576 - Alexandre M. Florio, Pedro Martins, Maximilian Schiffer, Thiago Serra, Thibaut Vidal:
Optimal Decision Diagrams for Classification. 7577-7585 - Dennis Frauen, Tobias Hatt, Valentyn Melnychuk, Stefan Feuerriegel:
Estimating Average Causal Effects from Patient Trajectories. 7586-7594 - Yulu Gan, Yan Bai, Yihang Lou, Xianzheng Ma, Renrui Zhang, Nian Shi, Lin Luo:
Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation. 7595-7603 - Alireza Ganjdanesh, Shangqian Gao, Heng Huang:
EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs. 7604-7612 - Haichuan Gao, Tianren Zhang, Zhile Yang, Yuqing Guo, Jinsheng Ren, Shangqi Guo, Feng Chen:
Fast Counterfactual Inference for History-Based Reinforcement Learning. 7613-7623 - Hang Gao
Robust Causal Graph Representation Learning against Confounding Effects. 7624-7632 - Peifeng Gao, Qianqian Xu, Peisong Wen, Huiyang Shao, Yuan He, Qingming Huang:
Towards Decision-Friendly AUC: Learning Multi-Classifier with AUCµ. 7633-7641 - Zijun Gao, Jun Wang, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi, Jinglin Zhang:
Long-Tail Cross Modal Hashing. 7642-7650 - Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Lanqing Li, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li:
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder. 7651-7659 - Shaddy Garg, Subrata Mitra, Tong Yu, Yash Gadhia, Arjun Kashettiwar:
Reinforced Approximate Exploratory Data Analysis. 7660-7669 - Thibault Gauthier, Josef Urban:
Learning Program Synthesis for Integer Sequences from Scratch. 7670-7677 - Ce Ge
Semi-transductive Learning for Generalized Zero-Shot Sketch-Based Image Retrieval. 7678-7686 - Lin Geng, Ningzhong Liu, Jie Qin:
Multi-Classifier Adversarial Optimization for Active Learning. 7687-7695 - Badih Ghazi, Junfeng He, Kai Kohlhoff, Ravi Kumar, Pasin Manurangsi, Vidhya Navalpakkam, Nachiappan Valliappan:
Differentially Private Heatmaps. 7696-7704 - Aritra Ghosh, Andrew S. Lan:
DiFA: Differentiable Feature Acquisition. 7705-7713 - Rohan Ghosh, Mehul Motani:
Local Intrinsic Dimensional Entropy. 7714-7721 - Subhankar Ghosh, Taha Belkhouja, Yan Yan, Janardhan Rao Doppa:
Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis. 7722-7730 - Linrui Gong, Shaohui Lin, Baochang Zhang, Yunhang Shen, Ke Li, Ruizhi Qiao, Bo Ren, Muqing Li, Zhou Yu, Lizhuang Ma:
Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation. 7731-7739 - Shiqi Gong, Peiyan Hu, Qi Meng, Yue Wang, Rongchan Zhu, Bingguang Chen, Zhiming Ma, Hao Ni, Tie-Yan Liu:
Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations. 7740-7747 - Tony Gracious, Ambedkar Dukkipati:
Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting. 7748-7756 - Gaël Guibon, Matthieu Labeau, Luce Lefeuvre, Chloé Clavel:
An Adaptive Layer to Leverage Both Domain and Task Specific Information from Scarce Data. 7757-7765 - Hongyu Guo, Yongyi Mao:
Interpolating Graph Pair to Regularize Graph Classification. 7766-7774 - Jingcai Guo, Song Guo, Qihua Zhou, Ziming Liu, Xiaocheng Lu, Fushuo Huo:
Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition. 7775-7783 - Wenqi Guo
Self-Supervised Bidirectional Learning for Graph Matching. 7784-7792 - Zhichun Guo, Chunhui Zhang, Yujie Fan, Yijun Tian, Chuxu Zhang, Nitesh V. Chawla:
Boosting Graph Neural Networks via Adaptive Knowledge Distillation. 7793-7801 - Jeongsoo Ha, Kyungsoo Kim, Yusung Kim:
Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions. 7802-7810 - Zhongyi Han, Zhiyan Zhang, Fan Wang, Rundong He, Wan Su, Xiaoming Xi, Yilong Yin:
Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation. 7811-7820 - Zhuangyu Han
Astromorphic Self-Repair of Neuromorphic Hardware Systems. 7821-7829 - Ali Harakeh, Jordan Sir Kwang Hu, Naiqing Guan, Steven L. Waslander, Liam Paull:
Estimating Regression Predictive Distributions with Sample Networks. 7830-7838 - Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chun Cheung, Simon See, Bo Han, Xiaowen Chu:
NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension. 7839-7847 - Howard Heaton, Xiaohan Chen, Zhangyang Wang, Wotao Yin:
Safeguarded Learned Convex Optimization. 7848-7855
AAAI Technical Track on Machine Learning II
- Joey Hejna, Pieter Abbeel, Lerrel Pinto:
Improving Long-Horizon Imitation through Instruction Prediction. 7857-7865 - Thi Kieu Khanh Ho, Narges Armanfard:
Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis. 7866-7874 - Long P. Hoang, Dung D. Le
Improving Pareto Front Learning via Multi-Sample Hypernetworks. 7875-7883 - Jung-Ho Hong, Woo-Jeoung Nam, Kyu-Sung Jeon, Seong-Whan Lee:
Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance. 7884-7892 - Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou:
Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning. 7893-7901 - Boya Hou, Sina Sanjari, Nathan Dahlin, Subhonmesh Bose:
Compressed Decentralized Learning of Conditional Mean Embedding Operators in Reproducing Kernel Hilbert Spaces. 7902-7909 - Siyu Hu
RLEKF: An Optimizer for Deep Potential with Ab Initio Accuracy. 7910-7918 - Rui Huang, Ruofei Wang, Qing Guo, Jieda Wei, Yuxiang Zhang, Wei Fan, Yang Liu:
Background-Mixed Augmentation for Weakly Supervised Change Detection. 7919-7927 - Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou:
Enabling Knowledge Refinement upon New Concepts in Abductive Learning. 7928-7935 - Zongmo Huang, Yazhou Ren, Xiaorong Pu, Shudong Huang, Zenglin Xu, Lifang He:
Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering. 7936-7943 - Yu-Heng Hung, Ping-Chun Hsieh:
Reward-Biased Maximum Likelihood Estimation for Neural Contextual Bandits: A Distributional Learning Perspective. 7944-7952 - Liangyu Huo, Zulin Wang, Mai Xu:
Learning Noise-Induced Reward Functions for Surpassing Demonstrations in Imitation Learning. 7953-7961 - Hyunseung Hwang, Steven Euijong Whang:
XClusters: Explainability-First Clustering. 7962-7970 - Taehyun Hwang, Min-hwan Oh:
Model-Based Reinforcement Learning with Multinomial Logistic Function Approximation. 7971-7979 - Yasutoshi Ida, Sekitoshi Kanai, Kazuki Adachi
Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers. 7980-7987 - Michal Jamroz, Marcin Kurdziel
Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional Networks. 7988-7995 - Simon Jenni, Alexander Black, John P. Collomosse:
Audio-Visual Contrastive Learning with Temporal Self-Supervision. 7996-8004 - Jongheon Jeong, Seojin Kim, Jinwoo Shin:
Confidence-Aware Training of Smoothed Classifiers for Certified Robustness. 8005-8013 - Sheo Yon Jhin, Minju Jo, Seungji Kook, Noseong Park:
Learnable Path in Neural Controlled Differential Equations. 8014-8022 - Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Lanqing Li, Long-Kai Huang, Tingyang Xu, Yu Rong, Jie Ren, Ding Xue, Houtim Lai, Wei Liu, Junzhou Huang, Shuigeng Zhou, Ping Luo, Peilin Zhao, Yatao Bian:
DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations. 8023-8031 - Meihuizi Jia, Lei Shen, Xin Shen, Lejian Liao, Meng Chen, Xiaodong He, Zhendong Chen, Jiaqi Li:
MNER-QG: An End-to-End MRC Framework for Multimodal Named Entity Recognition with Query Grounding. 8032-8040 - Qingrui Jia, Xuhong Li, Lei Yu, Jiang Bian, Penghao Zhao, Shupeng Li, Haoyi Xiong, Dejing Dou:
Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features. 8041-8049 - Jiechuan Jiang, Zongqing Lu:
Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning. 8050-8059 - Liang Jiang, Zhenyu Huang, Jia Liu, Zujie Wen, Xi Peng:
Robust Domain Adaptation for Machine Reading Comprehension. 8060-8069 - Lu Jiang, Yibin Wang, Jianan Wang, Pengyang Wang, Minghao Yin:
Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning. 8070-8077 - Renhe Jiang
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting. 8078-8086 - Xiaopeng Jiang, Cristian Borcea:
Complement Sparsification: Low-Overhead Model Pruning for Federated Learning. 8087-8095 - Rui Jiao, Jiaqi Han, Wenbing Huang, Yu Rong, Yang Liu:
Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs. 8096-8104 - Di Jin, Bingdao Feng, Siqi Guo, Xiaobao Wang, Jianguo Wei, Zhen Wang:
Local-Global Defense against Unsupervised Adversarial Attacks on Graphs. 8105-8113 - Di Jin, Jiayi Shi, Rui Wang, Yawen Li, Yuxiao Huang, Yu-Bin Yang:
Trafformer: Unify Time and Space in Traffic Prediction. 8114-8122 - Ming Jin, Vanshaj Khattar, Harshal Kaushik, Bilgehan Sel, Ruoxi Jia:
On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds. 8123-8131 - Yan Jin, Yuandong Ding, Xuanhao Pan
Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem. 8132-8140 - Yao Jin, Guocheng Niu, Xinyan Xiao, Jian Zhang, Xi Peng, Jun Yu:
Knowledge-Constrained Answer Generation for Open-Ended Video Question Answering. 8141-8149 - Sang-Yeong Jo, Sung Whan Yoon
POEM: Polarization of Embeddings for Domain-Invariant Representations. 8150-8158 - Matthew Jones, Huy L. Nguyen
An Efficient Algorithm for Fair Multi-Agent Multi-Armed Bandit with Low Regret. 8159-8167 - Sunghwan Joo, Seokhyeon Jeong, Juyeon Heo, Adrian Weller, Taesup Moon:
Towards More Robust Interpretation via Local Gradient Alignment. 8168-8176 - David Kaltenpoth, Jilles Vreeken:
Identifying Selection Bias from Observational Data. 8177-8185 - Namgyu Kang, Byeonghyeon Lee, Youngjoon Hong, Seok-Bae Yun, Eunbyung Park:
PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers. 8186-8194 - Mustafa O. Karabag, Ufuk Topcu:
On the Sample Complexity of Vanilla Model-Based Offline Reinforcement Learning with Dependent Samples. 8195-8202 - Nikolai Karpov, Qin Zhang
Communication-Efficient Collaborative Best Arm Identification. 8203-8210 - Markelle Kelly, Padhraic Smyth:
Variable-Based Calibration for Machine Learning Classifiers. 8211-8219 - Noble Kennamer, Steven Walton, Alexander Ihler:
Design Amortization for Bayesian Optimal Experimental Design. 8220-8227 - Omer Kerem, Roi Weiss:
On Error and Compression Rates for Prototype Rules. 8228-8236 - Haitham Khedr, Yasser Shoukry:
CertiFair: A Framework for Certified Global Fairness of Neural Networks. 8237-8245 - Jaeyoung Kim, Seo Taek Kong, Dongbin Na, Kyu-Hwan Jung:
Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection. 8246-8254 - Jihoon Kim, Jiseob Kim, Sungjoon Choi:
FLAME: Free-Form Language-Based Motion Synthesis & Editing. 8255-8263 - Keunseo Kim, Eun-Yeol Ma, Jeongman Choi, Heeyoung Kim:
Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks. 8264-8272 - Minsu Kim, Chae Won Kim
Deep Visual Forced Alignment: Learning to Align Transcription with Talking Face Video. 8273-8281 - Seong-Woong Kim, Dong-Wan Choi:
Better Generalized Few-Shot Learning Even without Base Data. 8282-8290 - Suyeon Kim, Dongha Lee, SeongKu Kang, Seonghyeon Lee, Hwanjo Yu:
Learning Topology-Specific Experts for Molecular Property Prediction. 8291-8299 - Wonyoung Kim, Kyungbok Lee, Myunghee Cho Paik:
Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits. 8300-8307 - Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda:
Exploring Temporal Information Dynamics in Spiking Neural Networks. 8308-8316 - Kai Klede
FastAMI - a Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics. 8317-8324 - Jongwoo Ko, Bongsoo Yi, Se-Young Yun:
A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise. 8325-8333 - Sung Moon Ko, Sungjun Cho, Dae-Woong Jeong, Sehui Han, Moontae Lee, Honglak Lee:
Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters. 8334-8342 - Stephen G. Kobourov, Maarten Löffler, Fabrizio Montecchiani, Marcin Pilipczuk, Ignaz Rutter, Raimund Seidel, Manuel Sorge, Jules Wulms:
The Influence of Dimensions on the Complexity of Computing Decision Trees. 8343-8350 - Georg Kohl
Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs. 8351-8359 - Zhenglun Kong, Haoyu Ma, Geng Yuan, Mengshu Sun, Yanyue Xie, Peiyan Dong, Xin Meng, Xuan Shen, Hao Tang, Minghai Qin, Tianlong Chen, Xiaolong Ma, Xiaohui Xie, Zhangyang Wang, Yanzhi Wang:
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training. 8360-8368 - Ezgi Korkmaz:
Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness. 8369-8377 - Srinivas Reddy Kota, P. N. Karthik, Vincent Y. F. Tan:
Almost Cost-Free Communication in Federated Best Arm Identification. 8378-8385 - Abhishek Kumar, Swagatam Das, Rammohan Mallipeddi:
UEQMS: UMAP Embedded Quick Mean Shift Algorithm for High Dimensional Clustering. 8386-8395 - Ramnath Kumar, Tristan Deleu, Yoshua Bengio:
The Effect of Diversity in Meta-Learning. 8396-8404 - Russell Z. Kunes, Mingzhang Yin, Max Land, Doron Haviv, Dana Pe'er, Simon Tavaré:
Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping. 8405-8412 - Konstantin Kutzkov:
LoNe Sampler: Graph Node Embeddings by Coordinated Local Neighborhood Sampling. 8413-8420 - Firas Laakom, Jenni Raitoharju
WLD-Reg: A Data-Dependent Within-Layer Diversity Regularizer. 8421-8429 - Jinxiang Lai, Siqian Yang, Wenlong Wu, Tao Wu, Guannan Jiang, Xi Wang, Jun Liu, Bin-Bin Gao, Wei Zhang, Yuan Xie, Chengjie Wang:
SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning. 8430-8437 - Jack Lanchantin, Sainbayar Sukhbaatar, Gabriel Synnaeve, Yuxuan Sun, Kavya Srinet, Arthur Szlam:
A Data Source for Reasoning Embodied Agents. 8438-8446 - Antoine Ledent, Rodrigo Alves, Yunwen Lei
Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings. 8447-8455 - Dongjin Lee, Kijung Shin:
I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs. 8456-8464 - Jong-Ryul Lee, Yong-Hyuk Moon:
Bespoke: A Block-Level Neural Network Optimization Framework for Low-Cost Deployment. 8465-8472 - Jong-whi Lee, Jinhong Jung:
Time-Aware Random Walk Diffusion to Improve Dynamic Graph Learning. 8473-8481 - Junghyuk Lee, Jun-Hyuk Kim, Jong-Seok Lee:
Demystifying Randomly Initialized Networks for Evaluating Generative Models. 8482-8490 - Sunwoo Lee, Tuo Zhang, Amir Salman Avestimehr:
Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning. 8491-8499 - Alexander Levine, Soheil Feizi:
Goal-Conditioned Q-learning as Knowledge Distillation. 8500-8509 - Orin Levy, Yishay Mansour:
Optimism in Face of a Context: Regret Guarantees for Stochastic Contextual MDP. 8510-8517 - Chao Li, Hao Xu, Kun He:
Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks. 8518-8526 - Chenhao Li, Qiang Qiu, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng:
Learning Adversarially Robust Sparse Networks via Weight Reparameterization. 8527-8535 - Chuming Li, Jie Liu
ACE: Cooperative Multi-Agent Q-learning with Bidirectional Action-Dependency. 8536-8544 - Diyang Li, Bin Gu:
When Online Learning Meets ODE: Learning without Forgetting on Variable Feature Space. 8545-8553 - Haiyun Li, Jixin Zhang, Ning Xu, Mingyu Liu:
FanoutNet: A Neuralized PCB Fanout Automation Method Using Deep Reinforcement Learning. 8554-8561 - Hongming Li, Shujian Yu, José C. Príncipe:
Causal Recurrent Variational Autoencoder for Medical Time Series Generation. 8562-8570 - Hongyu Li, Lefei Zhang, Kehua Su:
Dual Mutual Information Constraints for Discriminative Clustering. 8571-8579 - Jiaxuan Li, Xiaoyan Zhu, Jiayin Wang:
AdaBoost.C2: Boosting Classifiers Chains for Multi-Label Classification. 8580-8587 - Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng:
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks. 8588-8596 - Junfan Li, Shizhong Liao:
Improved Kernel Alignment Regret Bound for Online Kernel Learning. 8597-8604 - Mingjia Li, Binhui Xie, Shuang Li, Chi Harold Liu, Xinjing Cheng:
VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions. 8605-8613 - Shaojie Li, Sheng Ouyang, Yong Liu:
Understanding the Generalization Performance of Spectral Clustering Algorithms. 8614-8621 - Shouheng Li, Dongwoo Kim, Qing Wang:
Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering. 8622-8630 - Shuai Li, Ziqi Chen, Hongtu Zhu, Christina Dan Wang, Wang Wen:
Nearest-Neighbor Sampling Based Conditional Independence Testing. 8631-8639 - Tong Li, Jiale Deng, Yanyan Shen, Luyu Qiu, Yongxiang Huang, Caleb Chen Cao:
Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network. 8640-8647 - Wenye Li, Fangchen Yu
Metric Nearness Made Practical. 8648-8656 - Xiangjie Li, Chenfei Lou, Yuchi Chen, Zhengping Zhu, Yingtao Shen, Yehan Ma, An Zou:
Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference. 8657-8665 - Ximing Li, Yuanzhi Jiang, Changchun Li, Yiyuan Wang, Jihong Ouyang:
Learning with Partial Labels from Semi-supervised Perspective. 8666-8674 - Xin Li, Xiangrui Li, Deng Pan, Yao Qiang, Dongxiao Zhu:
Learning Compact Features via In-Training Representation Alignment. 8675-8683 - Yanhong Li, Jack Xu, David C. Anastasiu:
An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks. 8684-8691 - Ye Li, Songcan Chen, Sheng-Jun Huang:
Implicit Stochastic Gradient Descent for Training Physics-Informed Neural Networks. 8692-8700 - Yingcong Li, Samet Oymak:
Provable Pathways: Learning Multiple Tasks over Multiple Paths. 8701-8710 - Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li:
Towards Inference Efficient Deep Ensemble Learning. 8711-8719 - Hebin Liang, Yi Ma, Zilin Cao, Tianyang Liu, Fei Ni, Zhigang Li, Jianye Hao:
SplitNet: A Reinforcement Learning Based Sequence Splitting Method for the MinMax Multiple Travelling Salesman Problem. 8720-8727 - Jingxuan Liang, Xuelin Zhang
Stepdown SLOPE for Controlled Feature Selection. 8728-8736 - Qianqiao Liang, Mengying Zhu, Yan Wang
Positive Distribution Pollution: Rethinking Positive Unlabeled Learning from a Unified Perspective. 8737-8745 - Weijian Liao, Zongzhang Zhang, Yang Yu:
Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning. 8746-8754 - Yinghong Liao, Wending Zhou, Xu Yan, Zhen Li, Yizhou Yu, Shuguang Cui:
Geometry-Aware Network for Domain Adaptive Semantic Segmentation. 8755-8763 - Yiqiao Liao, Parinaz Naghizadeh:
Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria. 8764-8772 - Valerii Likhosherstov, Krzysztof Choromanski, Adrian Weller:
On the Expressive Flexibility of Self-Attention Matrices. 8773-8781 - Amarildo Likmeta, Matteo Sacco, Alberto Maria Metelli, Marcello Restelli:
Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control. 8782-8790 - Yawen Ling, Jianpeng Chen, Yazhou Ren, Xiaorong Pu, Jie Xu, Xiaofeng Zhu, Lifang He:
Dual Label-Guided Graph Refinement for Multi-View Graph Clustering. 8791-8798 - Bo Liu, Yihao Feng, Qiang Liu, Peter Stone:
Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning. 8799-8806 - Chengliang Liu
DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification. 8807-8815 - Chengliang Liu
Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers. 8816-8824 - Dianbo Liu, Alex Lamb, Xu Ji, Pascal Tikeng Notsawo Jr., Michael Mozer, Yoshua Bengio, Kenji Kawaguchi:
Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization for Heterogeneous Representational Coarseness. 8825-8833 - Haozhe Liu, Bing Li, Haoqian Wu, Hanbang Liang, Yawen Huang, Yuexiang Li, Bernard Ghanem
Combating Mode Collapse via Offline Manifold Entropy Estimation. 8834-8842 - Qiyuan Liu, Qi Zhou, Rui Yang, Jie Wang:
Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions. 8843-8851 - Shengcai Liu, Fu Peng, Ke Tang:
Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles. 8852-8860 - Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein:
Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks. 8861-8869 - Wei Liu
Safe Multi-View Deep Classification. 8870-8878 - Xinling Liu, Jingyao Hou, Jiangjun Peng
Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness. 8879-8887 - Xu Liu, Mengyue Zhou, Gaosheng Shi, Yu Du, Lin Zhao, Zihao Wu, David Liu, Tianming Liu, Xintao Hu:
Coupling Artificial Neurons in BERT and Biological Neurons in the Human Brain. 8888-8896 - Yang Liu, Jinpeng Hu, Zhihong Chen, Xiang Wan, Tsung-Hui Chang:
EASAL: Entity-Aware Subsequence-Based Active Learning for Named Entity Recognition. 8897-8905 - Yaoyao Liu
Online Hyperparameter Optimization for Class-Incremental Learning. 8906-8913 - Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Zhen Wang, Ke Liang, Wenxuan Tu, Liang Li, Jingcan Duan, Cancan Chen:
Hard Sample Aware Network for Contrastive Deep Graph Clustering. 8914-8922 - Zhen Liu
Temporal-Frequency Co-training for Time Series Semi-supervised Learning. 8923-8931 - Samuel Lobel, Sreehari Rammohan, Bowen He, Shangqun Yu, George Konidaris:
Q-functionals for Value-Based Continuous Control. 8932-8939 - Fred Lu, Edward Raff, James Holt:
A Coreset Learning Reality Check. 8940-8948 - Han Lu
Centerless Multi-View K-means Based on the Adjacency Matrix. 8949-8956 - Shun Lu, Yu Hu, Peihao Wang, Yan Han, Jianchao Tan, Jixiang Li, Sen Yang, Ji Liu:
PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor. 8957-8965 - Yan Lu, Zhun Zhong, Yuanchao Shu:
Multi-View Domain Adaptive Object Detection on Camera Networks. 8966-8974 - Yunan Lu, Liang He, Fan Min, Weiwei Li, Xiuyi Jia:
Generative Label Enhancement with Gaussian Mixture and Partial Ranking. 8975-8983 - Linbo Luo, Yuanjing Li, Haiyan Yin, Shangwei Xie, Ruimin Hu, Wentong Cai:
Crowd-Level Abnormal Behavior Detection via Multi-Scale Motion Consistency Learning. 8984-8992 - Xiaoling Luo, Chengliang Liu
MVCINN: Multi-View Diabetic Retinopathy Detection Using a Deep Cross-Interaction Neural Network. 8993-9001 - Ronny Luss, Amit Dhurandhar, Miao Liu:
Local Explanations for Reinforcement Learning. 9002-9010 - Qiang Lyu, Weiqiang Wang:
Compositional Prototypical Networks for Few-Shot Classification. 9011-9019 - Xiaoting Lyu, Yufei Han, Wei Wang, Jingkai Liu, Bin Wang, Jiqiang Liu, Xiangliang Zhang:
Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning. 9020-9028 - Yuexiao Ma, Taisong Jin, Xiawu Zheng, Yan Wang, Huixia Li, Yongjian Wu, Guannan Jiang, Wei Zhang, Rongrong Ji:
OMPQ: Orthogonal Mixed Precision Quantization. 9029-9037 - Sergio Machado, Anirudh Sridhar, Paulo Gil
Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach. 9038-9046 - Sahil Manchanda, Sayan Ranu:
LIMIP: Lifelong Learning to Solve Mixed Integer Programs. 9047-9054 - Gabriel Mancino-Ball, Shengnan Miao, Yangyang Xu, Jie Chen:
Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization. 9055-9063 - Debmalya Mandal, Goran Radanovic, Jiarui Gan, Adish Singla, Rupak Majumdar:
Online Reinforcement Learning with Uncertain Episode Lengths. 9064-9071
AAAI Technical Track on Machine Learning III
- Davide Maran, Alberto Maria Metelli, Marcello Restelli:
Tight Performance Guarantees of Imitator Policies with Continuous Actions. 9073-9080 - Andrei Margeloiu, Nikola Simidjievski, Pietro Liò, Mateja Jamnik:
Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data. 9081-9089 - Eitan-Hai Mashiah, Idan Attias, Yishay Mansour:
Learning Revenue Maximization Using Posted Prices for Stochastic Strategic Patient Buyers. 9090-9098 - Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter:
Boundary Graph Neural Networks for 3D Simulations. 9099-9107 - François Mazé, Faez Ahmed:
Diffusion Models Beat GANs on Topology Optimization. 9108-9116 - Kangfu Mei, Vishal M. Patel:
VIDM: Video Implicit Diffusion Models. 9117-9125 - Shibin Mei, Chenglong Zhao, Bingbing Ni, Shengchao Yuan:
Towards Interpreting and Utilizing Symmetry Property in Adversarial Examples. 9126-9133 - Nis Meinert
The Unreasonable Effectiveness of Deep Evidential Regression. 9134-9142 - Pedro Mendes, Maria Casimiro, Paolo Romano, David Garlan:
HyperJump: Accelerating HyperBand via Risk Modelling. 9143-9152 - Qianwen Meng, Hangwei Qian, Yong Liu, Lizhen Cui, Yonghui Xu, Zhiqi Shen:
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series. 9153-9161 - Wenjia Meng, Qian Zheng, Gang Pan, Yilong Yin:
Off-Policy Proximal Policy Optimization. 9162-9170 - Osman Mian, Michael Kamp, Jilles Vreeken:
Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments. 9171-9179 - Keith G. Mills
AIO-P: Expanding Neural Performance Predictors beyond Image Classification. 9180-9189 - Keith G. Mills
GENNAPE: Towards Generalized Neural Architecture Performance Estimators. 9190-9199 - Pasquale Minervini, Luca Franceschi, Mathias Niepert:
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models. 9200-9208 - Matthias Mitterreiter, Marcel Koch, Joachim Giesen, Sören Laue:
Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption. 9209-9216 - Yujie Mo, Zongqian Wu, Yuhuan Chen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu:
Multiplex Graph Representation Learning via Common and Private Information Mining. 9217-9225 - Mohammad Mohammadi Amiri, Frederic Berdoz, Ramesh Raskar:
Fundamentals of Task-Agnostic Data Valuation. 9226-9234 - Nairouz Mrabah, Mohamed Mahmoud Amar, Mohamed Bouguessa, Abdoulaye Baniré Diallo:
Exploring the Interaction between Local and Global Latent Configurations for Clustering Single-Cell RNA-Seq: A Unified Perspective. 9235-9242 - Bhaskar Mukhoty, Debojyoti Dey, Purushottam Kar:
Corruption-Tolerant Algorithms for Generalized Linear Models. 9243-9250 - Mirco Mutti, Riccardo De Santi, Emanuele Rossi, Juan Felipe Calderón, Michael M. Bronstein, Marcello Restelli:
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization. 9251-9259 - Sai Ganesh Nagarajan, Gerasimos Palaiopanos, Ioannis Panageas, Tushar Vaidya, Samson Yu:
Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based Approach. 9260-9267 - Ilan Naiman, Omri Azencot:
An Operator Theoretic Approach for Analyzing Sequence Neural Networks. 9268-9276 - Vedant Nanda, Ayan Majumdar
Do Invariances in Deep Neural Networks Align with Human Perception? 9277-9285 - Yusuke Narita, Kyohei Okumura, Akihiro Shimizu, Kohei Yata:
Counterfactual Learning with General Data-Generating Policies. 9286-9293 - Duc Nguyen, Anderson Y. Zhang:
Efficient and Accurate Learning of Mixtures of Plackett-Luce Models. 9294-9301 - Thanh Hong Nguyen, Arunesh Sinha:
Behavioral Learning in Security Games: Threat of Multi-Step Manipulative Attacks. 9302-9309 - Thanh Nguyen-Tang, Ming Yin, Sunil Gupta, Svetha Venkatesh, Raman Arora:
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation. 9310-9318 - Kentaro Ohno, Sekitoshi Kanai, Yasutoshi Ida:
Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks. 9319-9326 - Alexander G. Ororbia II, Ankur Arjun Mali, Daniel Kifer
Backpropagation-Free Deep Learning with Recursive Local Representation Alignment. 9327-9335 - Reda Ouhamma, Debabrota Basu, Odalric Maillard:
Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration & Planning. 9336-9344 - Xuanhao Pan
H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem. 9345-9353 - Zhenyu Pan
Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty. 9354-9363 - Zibin Pan, Shuyi Wang, Chi Li, Haijin Wang, Xiaoying Tang, Junhua Zhao:
FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance. 9364-9371 - Ziqi Pan, Li Niu, Liqing Zhang:
Geometric Inductive Biases for Identifiable Unsupervised Learning of Disentangled Representations. 9372-9380 - Ziqi Pan, Jianfu Zhang, Li Niu, Liqing Zhang:
Isometric Manifold Learning Using Hierarchical Flow. 9381-9388 - Deep Shankar Pandey, Qi Yu:
Evidential Conditional Neural Processes. 9389-9397 - Cheonjun Park, Mincheol Park, Hyun Jae Oh, Minkyu Kim, Myung Kuk Yoon, Suhyun Kim, Won Woo Ro:
Balanced Column-Wise Block Pruning for Maximizing GPU Parallelism. 9398-9407 - Jun-Hyung Park, Yeachan Kim, Junho Kim, Joon-Young Choi, SangKeun Lee:
Dynamic Structure Pruning for Compressing CNNs. 9408-9416 - Brahma S. Pavse, Josiah P. Hanna:
Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction. 9417-9425 - Shaohui Peng, Xing Hu, Rui Zhang, Jiaming Guo, Qi Yi, Ruizhi Chen, Zidong Du, Ling Li, Qi Guo, Yunji Chen:
Conceptual Reinforcement Learning for Language-Conditioned Tasks. 9426-9434 - Zhiyong Peng, Changlin Han, Yadong Liu, Zongtan Zhou:
Weighted Policy Constraints for Offline Reinforcement Learning. 9435-9443 - Emilian Postolache, Giorgio Mariani, Michele Mancusi, Andrea Santilli, Luca Cosmo, Emanuele Rodolà:
Latent Autoregressive Source Separation. 9444-9452 - Nico Potyka, Xiang Yin
Explaining Random Forests Using Bipolar Argumentation and Markov Networks. 9453-9460 - Andrea Pugnana
A Model-Agnostic Heuristics for Selective Classification. 9461-9469 - Emilie Purvine, Davis Brown, Brett A. Jefferson, Cliff A. Joslyn, Brenda Praggastis, Archit Rathore, Madelyn Shapiro
Experimental Observations of the Topology of Convolutional Neural Network Activations. 9470-9479 - Guodong Qi
CMVAE: Causal Meta VAE for Unsupervised Meta-Learning. 9480-9488 - Biao Qian, Yang Wang, Richang Hong, Meng Wang:
Rethinking Data-Free Quantization as a Zero-Sum Game. 9489-9497 - Sunyuan Qiang, Jiayi Hou, Jun Wan, Yanyan Liang, Zhen Lei, Du Zhang:
Mixture Uniform Distribution Modeling and Asymmetric Mix Distillation for Class Incremental Learning. 9498-9506 - Yang Qiao, Liqiang Jing, Xuemeng Song, Xiaolin Chen, Lei Zhu, Liqiang Nie:
Mutual-Enhanced Incongruity Learning Network for Multi-Modal Sarcasm Detection. 9507-9515 - Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh:
Training Meta-Surrogate Model for Transferable Adversarial Attack. 9516-9524 - Yuzhen Qin, Yingcong Li, Fabio Pasqualetti, Maryam Fazel, Samet Oymak:
Stochastic Contextual Bandits with Long Horizon Rewards. 9525-9533 - Shuang Qiu, Xiaohan Wei, Mladen Kolar:
Gradient-Variation Bound for Online Convex Optimization with Constraints. 9534-9542 - Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei:
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. 9543-9551 - Hossein Rajaby Faghihi, Aliakbar Nafar, Chen Zheng, Roshanak Mirzaee, Yue Zhang, Andrzej Uszok, Alexander Wan, Tanawan Premsri, Dan Roth, Parisa Kordjamshidi:
GLUECons: A Generic Benchmark for Learning under Constraints. 9552-9561 - Pavan Ravishankar, Qingyu Mo, Edward McFowland III
Provable Detection of Propagating Sampling Bias in Prediction Models. 9562-9569 - Florence Regol, Mark Coates:
Diffusing Gaussian Mixtures for Generating Categorical Data. 9570-9578 - Sahand Rezaei-Shoshtari, Charlotte Morissette, François Robert Hogan, Gregory Dudek, David Meger:
Hypernetworks for Zero-Shot Transfer in Reinforcement Learning. 9579-9587 - Alessandro Ronca
Automata Cascades: Expressivity and Sample Complexity. 9588-9595 - Yi Rong, Xiongbo Lu, Zhaoyang Sun, Yaxiong Chen, Shengwu Xiong:
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning. 9596-9605 - Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal:
Planning and Learning with Adaptive Lookahead. 9606-9613 - Jonathan Rosenthal, Eric Enouen, Hung Viet Pham, Lin Tan:
DisGUIDE: Disagreement-Guided Data-Free Model Extraction. 9614-9622 - Mohammad Rostami, Aram Galstyan:
Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions. 9623-9631 - Xiaolei Ru, Jack Murdoch Moore, Xinya Zhang
Inferring Patient Zero on Temporal Networks via Graph Neural Networks. 9632-9640 - Ludan Ruan, Anwen Hu, Yuqing Song, Liang Zhang, Sipeng Zheng, Qin Jin:
Accommodating Audio Modality in CLIP for Multimodal Processing. 9641-9649 - Harry Rubin-Falcone, Joyce M. Lee, Jenna Wiens:
Forecasting with Sparse but Informative Variables: A Case Study in Predicting Blood Glucose. 9650-9657 - Alessio Russo, Alexandre Proutière:
On the Sample Complexity of Representation Learning in Multi-Task Bandits with Global and Local Structure. 9658-9667 - Luca Sabbioni, Luca Al Daire, Lorenzo Bisi, Alberto Maria Metelli, Marcello Restelli:
Simultaneously Updating All Persistence Values in Reinforcement Learning. 9668-9676 - Gobinda Saha, Kaushik Roy:
Continual Learning with Scaled Gradient Projection. 9677-9685 - Otmane Sakhi, David Rohde, Alexandre Gilotte:
Fast Offline Policy Optimization for Large Scale Recommendation. 9686-9694 - Dylan Sam, J. Zico Kolter:
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction. 9695-9703 - Sepehr Sameni, Simon Jenni, Paolo Favaro:
Representation Learning by Detecting Incorrect Location Embeddings. 9704-9713 - Fahad Sarfraz, Elahe Arani, Bahram Zonooz:
Sparse Coding in a Dual Memory System for Lifelong Learning. 9714-9722 - Pritam Sarkar, Ali Etemad:
Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity. 9723-9732 - Daniel Scheliga, Patrick Maeder, Marco Seeland:
Dropout Is NOT All You Need to Prevent Gradient Leakage. 9733-9741 - Simon Schmitt, John Shawe-Taylor
Exploration via Epistemic Value Estimation. 9742-9751 - Ammar Shaker, Carolin Lawrence:
Multi-Source Survival Domain Adaptation. 9752-9762 - Shivam Sharma, Siddhant Agarwal, Tharun Suresh, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty:
What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes. 9763-9771 - Maohao Shen, Yuheng Bu
Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model. 9772-9781 - Xiao Shen
Neighbor Contrastive Learning on Learnable Graph Augmentation. 9782-9791 - Yu Shen
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies. 9792-9801 - Xiaoxiao Sheng, Zhiqiang Shen, Gang Xiao:
Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning. 9802-9810 - Tatsukichi Shibuya, Nakamasa Inoue, Rei Kawakami, Ikuro Sato:
Fixed-Weight Difference Target Propagation. 9811-9819 - Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett:
Concurrent Multi-Label Prediction in Event Streams. 9820-9828 - Senlin Shu
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes. 9829-9836 - Suzanna Sia, Anton Belyy, Amjad Almahairi, Madian Khabsa, Luke Zettlemoyer, Lambert Mathias:
Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI. 9837-9845 - Daniel Silver, Tirthak Patel
SLIQ: Quantum Image Similarity Networks on Noisy Quantum Computers. 9846-9854 - Durga Sivasubramanian, Ayush Maheshwari, Prathosh AP, Pradeep Shenoy, Ganesh Ramakrishnan:
Adaptive Mixing of Auxiliary Losses in Supervised Learning. 9855-9863 - Jinhyun So, Ramy E. Ali, Basak Güler, Jiantao Jiao, Amir Salman Avestimehr:
Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning. 9864-9873 - Gregory P. Spell, Simiao Ren, Leslie M. Collins, Jordan M. Malof:
Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling. 9874-9881 - Lena Stempfle, Ashkan Panahi, Fredrik D. Johansson:
Sharing Pattern Submodels for Prediction with Missing Values. 9882-9890 - Shivaram Subramanian, Wei Sun:
Scalable Optimal Multiway-Split Decision Trees with Constraints. 9891-9899 - Caiqi Sun, Jiewei Gu, Binbin Hu, Xin Dong, Hai Li, Lei Cheng, Linjian Mo:
REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation. 9900-9908 - Hui Sun, Zheng Xie, Xin-Ye Li, Ming Li:
Cooperative and Adversarial Learning: Co-enhancing Discriminability and Transferability in Domain Adaptation. 9909-9917 - Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li:
Fair-CDA: Continuous and Directional Augmentation for Group Fairness. 9918-9926 - Ruoxi Sun, Chun-Liang Li, Sercan Ö. Arik, Michael W. Dusenberry, Chen-Yu Lee, Tomas Pfister:
Neural Spline Search for Quantile Probabilistic Modeling. 9927-9934 - Tao Sun, Cheng Lu, Haibin Ling:
Domain Adaptation with Adversarial Training on Penultimate Activations. 9935-9943 - Hossein Taheri, Christos Thrampoulidis:
Fast Convergence in Learning Two-Layer Neural Networks with Separable Data. 9944-9952 - Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. 9953-9961 - Yuze Tan, Yixi Liu, Hongjie Wu, Jiancheng Lv, Shudong Huang:
Metric Multi-View Graph Clustering. 9962-9970 - Ming Tao, Bing-Kun Bao, Hao Tang, Fei Wu, Longhui Wei, Qi Tian:
DE-net: Dynamic Text-Guided Image Editing Adversarial Networks. 9971-9979 - Jidapa Thadajarassiri, Thomas Hartvigsen, Walter Gerych, Xiangnan Kong, Elke A. Rundensteiner:
Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer. 9980-9988 - Bowen Tian, Qinliang Su, Jianxing Yu:
Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks. 9989-9996 - Yijun Tian, Kaiwen Dong, Chunhui Zhang, Chuxu Zhang, Nitesh V. Chawla:
Heterogeneous Graph Masked Autoencoders. 9997-10005 - Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci
Unbalanced CO-optimal Transport. 10006-10016 - Matthew Ubl, Matthew T. Hale, Kasra Yazdani:
Linear Regularizers Enforce the Strict Saddle Property. 10017-10024 - Takuma Udagawa, Haruka Kiyohara, Yusuke Narita, Yuta Saito, Kei Tateno:
Policy-Adaptive Estimator Selection for Off-Policy Evaluation. 10025-10033 - Soobin Um, Changho Suh:
A Fair Generative Model Using LeCam Divergence. 10034-10042 - Saeed Vahidian, Mahdi Morafah, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin:
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces. 10043-10052 - Ara Vartanian, Will Rosenbaum, Scott Alfeld:
Training-Time Attacks against K-nearest Neighbors. 10053-10060 - Pietro Vertechi, Mattia G. Bergomi:
Machines of Finite Depth: Towards a Formalization of Neural Networks. 10061-10068 - Philipp Wagner, Xinyang Wu
Kalman Bayesian Neural Networks for Closed-Form Online Learning. 10069-10077 - Xinhang Wan, Xinwang Liu, Jiyuan Liu, Siwei Wang, Yi Wen, Weixuan Liang, En Zhu, Zhe Liu, Lu Zhou:
Auto-Weighted Multi-View Clustering for Large-Scale Data. 10078-10086 - Zongqi Wan, Zhijie Zhang, Tongyang Li, Jialin Zhang, Xiaoming Sun:
Quantum Multi-Armed Bandits and Stochastic Linear Bandits Enjoy Logarithmic Regrets. 10087-10094 - Dui Wang, Li Shen, Yong Luo, Han Hu, Kehua Su, Yonggang Wen, Dacheng Tao:
FedABC: Targeting Fair Competition in Personalized Federated Learning. 10095-10103 - Hongni Wang, Jingxin Yan, Xiaodong Yan:
Spearman Rank Correlation Screening for Ultrahigh-Dimensional Censored Data. 10104-10112 - Jiahuan Wang, Jun Chen, Hong Chen, Bin Gu, Weifu Li, Xin Tang:
Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning. 10113-10121 - Jue Wang, Dajie Dong, Lidan Shou, Ke Chen, Gang Chen:
Effective Continual Learning for Text Classification with Lightweight Snapshots. 10122-10130 - Kai Wang, Lily Xu, Aparna Taneja, Milind Tambe:
Optimistic Whittle Index Policy: Online Learning for Restless Bandits. 10131-10139 - Lei Wang, Liang Zeng, Jian Li:
AEC-GAN: Adversarial Error Correction GANs for Auto-Regressive Long Time-Series Generation. 10140-10148 - Li Wang, Zhiguo Fu, Yingcong Zhou, Zili Yan:
The Implicit Regularization of Momentum Gradient Descent in Overparametrized Models. 10149-10156 - Mingyang Wang, Zhenshan Bing, Xiangtong Yao, Shuai Wang, Kai Huang, Hang Su, Chenguang Yang, Alois Knoll:
Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning. 10157-10165 - Qingmei Wang, Minjie Cheng, Shen Yuan, Hongteng Xu:
Hierarchical Contrastive Learning for Temporal Point Processes. 10166-10174 - Shuai Wang, Yanqing Xu, Zhiguo Wang, Tsung-Hui Chang, Tony Q. S. Quek, Defeng Sun:
Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework. 10175-10183 - Vivienne Huiling Wang, Joni Pajarinen
State-Conditioned Adversarial Subgoal Generation. 10184-10191 - Xinping Wang, Liangyu Chen, Min Zhang:
Deep Attentive Model for Knowledge Tracing. 10192-10199 - Xu Wang, Dezhong Peng, Ming Yan, Peng Hu:
Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval. 10200-10208 - Yabin Wang, Zhiheng Ma, Zhiwu Huang, Yaowei Wang, Zhou Su, Xiaopeng Hong:
Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference. 10209-10217 - Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Meixia Wang:
Robust Self-Supervised Multi-Instance Learning with Structure Awareness. 10218-10225 - Yibo Wang, Yuanyu Wan, Shimao Zhang, Lijun Zhang:
Distributed Projection-Free Online Learning for Smooth and Convex Losses. 10226-10234 - Yifei Wang
USER: Unsupervised Structural Entropy-Based Robust Graph Neural Network. 10235-10243 - Yu Wang, Ján Drgona, Jiaxin Zhang, Karthik Somayaji Nanjangud Suryanarayana, Malachi Schram, Frank Liu, Peng Li:
AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution. 10244-10252 - Yucheng Wang, Yuecong Xu, Jianfei Yang, Zhenghua Chen, Min Wu, Xiaoli Li, Lihua Xie:
SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation. 10253-10261 - Yunke Wang, Bo Du, Chang Xu:
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning. 10262-10270 - Zheng Wang, Xiaoliang Fan, Jianzhong Qi, Haibing Jin, Peizhen Yang, Siqi Shen, Cheng Wang:
FedGS: Federated Graph-Based Sampling with Arbitrary Client Availability. 10271-10278 - Zhihai Wang, Taoxing Pan, Qi Zhou, Jie Wang:
Efficient Exploration in Resource-Restricted Reinforcement Learning. 10279-10287 - Zhiyong Wang, Xutong Liu, Shuai Li, John C. S. Lui:
Efficient Explorative Key-Term Selection Strategies for Conversational Contextual Bandits. 10288-10295
AAAI Technical Track on Machine Learning IV
- Zijia Wang, Xiangyu He, Kehan Chen, Chen Lin, Jinsong Su:
Code-Aware Cross-Program Transfer Hyperparameter Optimization. 10297-10305 - Jamelle Watson-Daniels, David C. Parkes, Berk Ustun
Predictive Multiplicity in Probabilistic Classification. 10306-10314 - Xin Wei, Wei Du
Feature Distribution Fitting with Direction-Driven Weighting for Few-Shot Images Classification. 10315-10323 - Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu:
Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation. 10324-10332 - Boxi Wu, Jie Jiang, Haidong Ren, Zifan Du, Wenxiao Wang, Zhifeng Li, Deng Cai, Xiaofei He, Binbin Lin, Wei Liu:
Towards In-Distribution Compatible Out-of-Distribution Detection. 10333-10341 - Jun Wu, Jingrui He, Elizabeth A. Ainsworth:
Non-IID Transfer Learning on Graphs. 10342-10350 - Lirong Wu, Haitao Lin, Yufei Huang, Tianyu Fan, Stan Z. Li:
Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework. 10351-10360 - Qiong Wu, Jian Li, Zhenming Liu, Yanhua Li, Mihai Cucuringu:
Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-linear Machine Learning Models. 10361-10369 - Xidong Wu, Zhengmian Hu, Heng Huang:
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems. 10370-10378 - Xidong Wu, Feihu Huang, Zhengmian Hu, Heng Huang:
Faster Adaptive Federated Learning. 10379-10387 - Xingyu Wu, Bingbing Jiang, Tianhao Wu, Huanhuan Chen:
Practical Markov Boundary Learning without Strong Assumptions. 10388-10398 - Xueyang Wu, Hengguan Huang, Youlong Ding, Hao Wang, Ye Wang, Qian Xu:
FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation. 10399-10407 - Yanan Wu, Tengfei Liang, Songhe Feng, Yi Jin, Gengyu Lyu, Haojun Fei, Yang Wang:
MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning. 10408-10416 - Yihan Wu, Aleksandar Bojchevski, Heng Huang:
Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks. 10417-10425 - Young Wu, Jeremy McMahan, Xiaojin Zhu, Qiaomin Xie:
Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning. 10426-10434 - Zifan Wu
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning. 10435-10443 - Tianyu Xia, Shuheng Shen, Su Yao, Xinyi Fu, Ke Xu, Xiaolong Xu, Xing Fu:
Differentially Private Learning with Per-Sample Adaptive Clipping. 10444-10452 - Lichuan Xiang, Lukasz Dudziak, Mohamed S. Abdelfattah, Thomas C. P. Chau, Nicholas D. Lane, Hongkai Wen:
Zero-Cost Operation Scoring in Differentiable Architecture Search. 10453-10463 - Jinqi Xiao
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks. 10464-10472 - Peng Xiao, Samuel Cheng:
Bayesian Federated Neural Matching That Completes Full Information. 10473-10480 - Jiahao Xie, Chao Zhang, Zebang Shen, Weijie Liu, Hui Qian:
CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems. 10481-10489 - Jiahao Xie, Chao Zhang, Weijie Liu, Wensong Bai, Hui Qian:
Towards Optimal Randomized Strategies in Adversarial Example Game. 10490-10498 - Jianwen Xie, Yaxuan Zhu, Yifei Xu, Dingcheng Li, Ping Li:
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference. 10499-10509 - Zheng Xie, Hui Sun, Ming Li:
Semi-supervised Learning with Support Isolation by Small-Paced Self-Training. 10510-10518 - Shiji Xin, Yifei Wang, Jingtong Su, Yisen Wang:
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization. 10519-10527 - Guojun Xiong, Jian Li:
Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits. 10528-10536 - Zuobin Xiong
Federated Generative Model on Multi-Source Heterogeneous Data in IoT. 10537-10545 - Baile Xu, Furao Shen, Jian Zhao:
Contrastive Open Set Recognition. 10546-10556 - Cai Xu, Wei Zhao, Jinglong Zhao, Ziyu Guan, Yaming Yang, Long Chen, Xiangyu Song:
Progressive Deep Multi-View Comprehensive Representation Learning. 10557-10565 - Canwen Xu, Julian J. McAuley:
A Survey on Model Compression and Acceleration for Pretrained Language Models. 10566-10575 - Hanwen Xu, Jiayou Zhang, Zhirui Wang, Shizhuo Zhang, Megh Bhalerao, Yucong Liu, Dawei Zhu, Sheng Wang:
GraphPrompt: Graph-Based Prompt Templates for Biomedical Synonym Prediction. 10576-10584 - Kang Xu, Yan Ma, Bingsheng Wei, Wei Li:
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation. 10585-10593 - Lei Xu
Efficient Top-K Feature Selection Using Coordinate Descent Method. 10594-10601 - Pengyu Xu, Lin Xiao, Bing Liu, Sijin Lu, Liping Jing, Jian Yu:
Label-Specific Feature Augmentation for Long-Tailed Multi-Label Text Classification. 10602-10610 - Ran Xu, Yue Yu, Hejie Cui
Neighborhood-Regularized Self-Training for Learning with Few Labels. 10611-10619 - Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lu:
Resilient Binary Neural Network. 10620-10628 - Wuzhe Xu, Yulong Lu, Li Wang:
Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution Equations. 10629-10636 - Xiao Xu, Chenfei Wu, Shachar Rosenman, Vasudev Lal, Wanxiang Che, Nan Duan:
BridgeTower: Building Bridges between Encoders in Vision-Language Representation Learning. 10637-10647 - Yuanzhuo Xu, Xiaoguang Niu, Jie Yang, Steve Drew, Jiayu Zhou, Ruizhi Chen:
USDNL: Uncertainty-Based Single Dropout in Noisy Label Learning. 10648-10656 - Zhikang Xu
Trusted Fine-Grained Image Classification through Hierarchical Evidence Fusion. 10657-10665 - Ziqi Xu
Disentangled Representation for Causal Mediation Analysis. 10666-10674 - Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, Lucie Charlotte Magister, Pietro Liò:
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis. 10675-10683 - Ping Xue, Yang Lu, Jingfei Chang, Xing Wei, Zhen Wei:
Fast and Accurate Binary Neural Networks Based on Depth-Width Reshaping. 10684-10692 - Chase Yakaboski, Eugene Santos Jr.:
Learning the Finer Things: Bayesian Structure Learning at the Instantiation Level. 10693-10701 - Baturalp Yalçin, Ziye Ma, Javad Lavaei, Somayeh Sojoudi:
Semidefinite Programming versus Burer-Monteiro Factorization for Matrix Sensing. 10702-10710 - Gang Yan, Hao Wang, Xu Yuan, Jian Li:
DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness. 10711-10719 - Jiahuan Yan, Jintai Chen, Yixuan Wu, Danny Z. Chen, Jian Wu:
T2G-FORMER: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction. 10720-10728 - Cambridge Yang, Michael Littman, Michael Carbin:
Computably Continuous Reinforcement-Learning Objectives Are PAC-Learnable. 10729-10736 - Dezhi Yang, Guoxian Yu, Jun Wang, Zhengtian Wu, Maozu Guo:
Reinforcement Causal Structure Learning on Order Graph. 10737-10744 - Enneng Yang
AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. 10745-10753 - Fuhao Yang, Xin Li, Min Wang, Hongyu Zang, Wei Pang
WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series. 10754-10761 - Huiting Yang, Danqing Huang, Chin-Yew Lin, Shengfeng He
Layout Generation as Intermediate Action Sequence Prediction. 10762-10770 - Jianyi Yang, Shaolei Ren:
Learning-Assisted Algorithm Unrolling for Online Optimization with Budget Constraints. 10771-10779 - Ke Yang, Charles Yu, Yi Ren Fung, Manling Li, Heng Ji:
ADEPT: A DEbiasing PrompT Framework. 10780-10788 - Liwei Yang
Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning. 10789-10797 - Qisong Yang, Matthijs T. J. Spaan:
CEM: Constrained Entropy Maximization for Task-Agnostic Safe Exploration. 10798-10806 - Ruofeng Yang, Xiangyuan Li, Bo Jiang, Shuai Li:
Understanding Representation Learnability of Nonlinear Self-Supervised Learning. 10807-10815 - Xiaocheng Yang
Simple and Efficient Heterogeneous Graph Neural Network. 10816-10824 - Xiaoyu Yang
T-distributed Spherical Feature Representation for Imbalanced Classification. 10825-10833 - Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng, Xinwang Liu, Liming Fang
Cluster-Guided Contrastive Graph Clustering Network. 10834-10842 - Yiqin Yang, Hao Hu, Wenzhe Li, Siyuan Li, Jun Yang, Qianchuan Zhao, Chongjie Zhang:
Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery. 10843-10851 - Yucheng Yang
Prototypical Partial Optimal Transport for Universal Domain Adaptation. 10852-10860 - Zhaoxing Yang, Haiming Jin, Rong Ding, Haoyi You, Guiyun Fan, Xinbing Wang, Chenghu Zhou:
DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning. 10861-10870 - Ziqi Yang, Lijin Wang, Da Yang, Jie Wan, Ziming Zhao
Purifier: Defending Data Inference Attacks via Transforming Confidence Scores. 10871-10879 - Ziyi Yang, Yuwei Fang, Chenguang Zhu, Reid Pryzant, Dongdong Chen, Yu Shi, Yichong Xu, Yao Qian, Mei Gao, Yi-Ling Chen, Liyang Lu, Yujia Xie, Robert Gmyr, Noel Codella, Naoyuki Kanda, Bin Xiao, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang:
i-Code: An Integrative and Composable Multimodal Learning Framework. 10880-10890 - Fei Ye, Adrian G. Bors:
Learning Dynamic Latent Spaces for Lifelong Generative Modelling. 10891-10899 - Fei Ye, Adrian G. Bors:
Lifelong Compression Mixture Model via Knowledge Relationship Graph. 10900-10908 - Fei Ye, Adrian G. Bors:
Lifelong Variational Autoencoder via Online Adversarial Expansion Strategy. 10909-10917 - Fei Ye, Adrian G. Bors:
Continual Variational Autoencoder via Continual Generative Knowledge Distillation. 10918-10926 - Nanyang Ye, Lin Zhu
Certifiable Out-of-Distribution Generalization. 10927-10935 - Pei-Kai Yeh, Hsi-Wen Chen, Ming-Syan Chen:
Random Walk Conformer: Learning Graph Representation from Long and Short Range. 10936-10944 - Lu Yin, Shiwei Liu, Meng Fang, Tianjin Huang, Vlado Menkovski, Mykola Pechenizkiy:
Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost. 10945-10953 - Miao Yin, Burak Uzkent, Yilin Shen, Hongxia Jin, Bo Yuan:
GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer. 10954-10962 - Donghao Ying, Mengzi Amy Guo, Yuhao Ding, Javad Lavaei, Zuo-Jun Max Shen:
Policy-Based Primal-Dual Methods for Convex Constrained Markov Decision Processes. 10963-10971 - Jiali You, Zhenwen Ren, Xiaojian You, Haoran Li
Priori Anchor Labels Supervised Scalable Multi-View Bipartite Graph Clustering. 10972-10979 - Dayou Yu, Weishi Shi, Qi Yu:
STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations. 10980-10988 - Haichao Yu, Haoxiang Li, Gang Hua, Gao Huang, Humphrey Shi:
Boosted Dynamic Neural Networks. 10989-10997 - Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang:
Stable Learning via Sparse Variable Independence. 10998-11006 - Hao Yu, Jianxin Wu:
Compressing Transformers: Features Are Low-Rank, but Weights Are Not! 11007-11015 - Lantao Yu, Tianhe Yu, Jiaming Song, Willie Neiswanger, Stefano Ermon:
Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching. 11016-11024 - Lei Yu, Wanqi Yang, Shengqi Huang, Lei Wang, Ming Yang:
High-Level Semantic Feature Matters Few-Shot Unsupervised Domain Adaptation. 11025-11033 - Ganzhao Yuan:
Coordinate Descent Methods for DC Minimization: Optimality Conditions and Global Convergence. 11034-11042 - Guowen Yuan, Ben Kao, Tien-Hsuan Wu:
CEMA - Cost-Efficient Machine-Assisted Document Annotations. 11043-11050 - Li Yuan, Yi Cai, Jin Wang, Qing Li:
Joint Multimodal Entity-Relation Extraction Based on Edge-Enhanced Graph Alignment Network and Word-Pair Relation Tagging. 11051-11059 - Zhaolin Yuan
ODE-RSSM: Learning Stochastic Recurrent State Space Model from Irregularly Sampled Data. 11060-11068 - Yang Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, Shuicheng Yan:
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning. 11069-11077 - Zhixiong Yue, Yu Zhang, Jie Liang:
Learning Conflict-Noticed Architecture for Multi-Task Learning. 11078-11086 - Won Joon Yun, Jihong Park
Quantum Multi-Agent Meta Reinforcement Learning. 11087-11095 - Sicong Zang, Shikui Tu, Lei Xu:
Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation. 11096-11103 - Emanuele Zappala, Antonio Henrique de Oliveira Fonseca, Andrew Henry Moberly, Michael James Higley, Chadi Abdallah, Jessica A. Cardin, David van Dijk
Neural Integro-Differential Equations. 11104-11112 - Daniel Zeiberg, Shantanu Jain, Predrag Radivojac:
Leveraging Structure for Improved Classification of Grouped Biased Data. 11113-11120 - Ailing Zeng, Muxi Chen, Lei Zhang, Qiang Xu:
Are Transformers Effective for Time Series Forecasting? 11121-11128 - Dingyi Zeng
Substructure Aware Graph Neural Networks. 11129-11137 - Liang Zeng, Lanqing Li, Ziqi Gao, Peilin Zhao, Jian Li:
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification. 11138-11146 - Qiuhao Zeng, Wei Wang, Fan Zhou, Charles Ling, Boyu Wang:
Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment. 11147-11155 - Yujie Zeng, Wenlong He, Ihor V. Vasyltsov, Jiali Pang, Lin Chen:
Acceleration of Large Transformer Model Training by Sensitivity-Based Layer Dropping. 11156-11163 - Artjom Zern, Klaus Broelemann, Gjergji Kasneci:
Interventional SHAP Values and Interaction Values for Piecewise Linear Regression Trees. 11164-11173 - Chao Zhang, Huaxiong Li, Wei Lv
Enhanced Tensor Low-Rank and Sparse Representation Recovery for Incomplete Multi-View Clustering. 11174-11182 - Chenkang Zhang, Lei Luo, Bin Gu:
Denoising Multi-Similarity Formulation: A Self-Paced Curriculum-Driven Approach for Robust Metric Learning. 11183-11191 - Daoan Zhang, Chenming Li, Haoquan Li, Wenjian Huang, Lingyun Huang, Jianguo Zhang:
Rethinking Alignment and Uniformity in Unsupervised Image Semantic Segmentation. 11192-11200 - Guoxi Zhang, Hisashi Kashima:
Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning. 11201-11209 - Hongchang Zhang, Jianzhun Shao, Shuncheng He, Yuhang Jiang, Xiangyang Ji:
DARL: Distance-Aware Uncertainty Estimation for Offline Reinforcement Learning. 11210-11218 - Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan:
When Neural Networks Fail to Generalize? A Model Sensitivity Perspective. 11219-11227 - Jianfu Zhang, Yan Hong, Qibin Zhao:
Memorization Weights for Instance Reweighting in Adversarial Training. 11228-11236 - Jianqing Zhang, Yang Hua
FedALA: Adaptive Local Aggregation for Personalized Federated Learning. 11237-11244 - Jie Zhang, Bo Li, Chen Chen, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chao Wu:
Delving into the Adversarial Robustness of Federated Learning. 11245-11253 - Lei Zhang, Xiaodong Yan, Jianshan He, Ruopeng Li, Wei Chu:
DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks. 11254-11261 - Pei Zhang, Siwei Wang, Liang Li, Changwang Zhang, Xinwang Liu, En Zhu, Zhe Liu, Lu Zhou, Lei Luo:
Let the Data Choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-View Clustering. 11262-11269 - Rui Zhang, Rui Xin, Margo I. Seltzer, Cynthia Rudin:
Optimal Sparse Regression Trees. 11270-11279 - Yangwenhui Zhang, Hong Qian, Xiang Shu, Aimin Zhou:
High-Dimensional Dueling Optimization with Preference Embedding. 11280-11288 - Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King:
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond. 11289-11297 - Yilang Zhang
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients. 11298-11306 - Zeyang Zhang, Ziwei Zhang, Xin Wang, Yijian Qin, Zhou Qin, Wenwu Zhu:
Dynamic Heterogeneous Graph Attention Neural Architecture Search. 11307-11315 - Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang:
Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS "Cold-Start". 11316-11326 - Shuping Zhao, Jie Wen, Lunke Fei, Bob Zhang:
Tensorized Incomplete Multi-View Clustering with Intrinsic Graph Completion. 11327-11335 - Xingyu Zhao
Imbalanced Label Distribution Learning. 11336-11344 - Yang Zhao, Jianwen Xie, Ping Li:
CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning. 11345-11353 - Yuxuan Zhao, Qi Sun, Zhuolun He, Yang Bai, Bei Yu:
AutoGraph: Optimizing DNN Computation Graph for Parallel GPU Kernel Execution. 11354-11362 - Yuying Zhao, Yu Wang, Tyler Derr
Fairness and Explainability: Bridging the Gap towards Fair Model Explanations. 11363-11371 - Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang:
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning. 11372-11380 - Xiao Zheng, Chang Tang, Zhiguo Wan, Chengyu Hu, Wei Zhang:
Multi-Level Confidence Learning for Trustworthy Multimodal Classification. 11381-11389 - Zangwei Zheng, Pengtai Xu, Xuan Zou, Da Tang, Zhen Li, Chenguang Xi, Peng Wu, Leqi Zou, Yijie Zhu, Ming Chen, Xiangzhuo Ding, Fuzhao Xue, Ziheng Qin, Youlong Cheng, Yang You:
CowClip: Reducing CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU. 11390-11398 - Jiajun Zhong, Ning Gui, Weiwei Ye:
Data Imputation with Iterative Graph Reconstruction. 11399-11407 - Baojian Zhou, Steven Skiena
Does It Pay to Optimize AUC? 11408-11416 - Fan Zhou, Chen Pan, Lintao Ma
SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies. 11417-11425 - Menghui Zhou
Robust Temporal Smoothness in Multi-Task Learning. 11426-11434 - Xiaoling Zhou
Combining Adversaries with Anti-adversaries in Training. 11435-11442 - Zixian Zhou, Mengda Huang, Feiyang Pan, Jia He, Xiang Ao, Dandan Tu, Qing He:
Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning. 11443-11451 - Ke Zhu, Yin-Yin He, Jianxin Wu:
Quantized Feature Distillation for Network Quantization. 11452-11460 - Lin Zhu
Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization. 11461-11469 - Xinqi Zhu, Chang Xu, Dacheng Tao:
ContraFeat: Contrasting Deep Features for Semantic Discovery. 11470-11478 - Yongxin Zhu
Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA. 11479-11487 - Qiran Zou, Yu Yang, Wing Yin Cheung, Chang Liu, Xiangyang Ji:
ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation. 11488-11496 - Rundong Zuo, Guozhong Li
SVP-T: A Shape-Level Variable-Position Transformer for Multivariate Time Series Classification. 11497-11505 - Yan Zuo, Vu Nguyen, Amir Dezfouli, David Alexander, Benjamin Ward Muir, Iadine Chades:
Mixed-Variable Black-Box Optimisation Using Value Proposal Trees. 11506-11514
AAAI Technical Track on Multiagent Systems
- Emmanuel Arrighi, Henning Fernau, Mateus de Oliveira Oliveira, Petra Wolf:
Synchronization and Diversity of Solutions. 11516-11524 - Pascal Bachor, Rolf-David Bergdoll, Bernhard Nebel
The Multi-Agent Transportation Problem. 11525-11532 - Boaz Carmeli, Ron Meir, Yonatan Belinkov:
Emergent Quantized Communication. 11533-11541 - Wubing Chen, Wenbin Li, Xiao Liu, Shangdong Yang, Yang Gao:
Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient. 11542-11550 - Sebastiaan De Peuter
Zero-Shot Assistance in Sequential Decision Problems. 11551-11559 - Anna Gautier
Multi-Unit Auctions for Allocating Chance-Constrained Resources. 11560-11568 - Ryota Higa, Katsuhide Fujita, Toki Takahashi, Takumu Shimizu, Shinji Nakadai:
Reward-Based Negotiating Agent Strategies. 11569-11577 - Jiaoyang Li, The Anh Hoang, Eugene Lin, Hai L. Vu, Sven Koenig:
Intersection Coordination with Priority-Based Search for Autonomous Vehicles. 11578-11585 - Shuxin Li, Xinrun Wang, Youzhi Zhang, Wanqi Xue, Jakub Cerný, Bo An:
Solving Large-Scale Pursuit-Evasion Games Using Pre-trained Strategies. 11586-11594 - Shunyu Liu
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition. 11595-11603 - David Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Wenbin Song, Feifei Tong, Matthew E. Taylor, Tianpei Yang, Zipeng Dai, Hui Chen, Jiangcheng Zhu, Kun Shao, Jun Wang, Yaodong Yang:
Learning to Shape Rewards Using a Game of Two Partners. 11604-11612 - Ritwick Mishra
Reconstructing an Epidemic Outbreak Using Steiner Connectivity. 11613-11620 - Munyque Mittelmann
Formal Verification of Bayesian Mechanisms. 11621-11629 - Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do
Memory-Augmented Theory of Mind Network. 11630-11637 - Michael Oesterle
Socially Optimal Non-discriminatory Restrictions for Continuous-Action Games. 11638-11646 - Keisuke Okumura, Sébastien Tixeuil:
Fault-Tolerant Offline Multi-Agent Path Planning. 11647-11654 - Keisuke Okumura:
LaCAM: Search-Based Algorithm for Quick Multi-Agent Pathfinding. 11655-11662 - Zirou Qiu, Chen Chen
Networked Anti-coordination Games Meet Graphical Dynamical Systems: Equilibria and Convergence. 11663-11671 - Qi Tian, Kun Kuang, Furui Liu, Baoxiang Wang:
Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning. 11672-11680 - Yohai Trabelsi, Abhijin Adiga, Sarit Kraus, S. S. Ravi, Daniel J. Rosenkrantz:
Resource Sharing through Multi-Round Matchings. 11681-11690 - Rishi Veerapaneni, Tushar Kusnur, Maxim Likhachev:
Effective Integration of Weighted Cost-to-Go and Conflict Heuristic within Suboptimal CBS. 11691-11698 - Caroline Wang, Ishan Durugkar, Elad Liebman, Peter Stone:
DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching. 11699-11707 - Zhen Wang, Zhao Song, Chen Shen, Shuyue Hu:
Emergence of Punishment in Social Dilemma with Environmental Feedback. 11708-11716 - Pei Xu
Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks. 11717-11725 - Zhiwei Xu
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning. 11726-11734 - Zhiwei Xu
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism. 11735-11743 - Chao Yu:
Hierarchical Mean-Field Deep Reinforcement Learning for Large-Scale Multiagent Systems. 11744-11752 - Lei Yuan, Ziqian Zhang, Ke Xue, Hao Yin, Feng Chen, Cong Guan, Lihe Li, Chao Qian, Yang Yu:
Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers. 11753-11762 - Tingting Yuan, Hwei-Ming Chung, Jie Yuan, Xiaoming Fu:
DACOM: Learning Delay-Aware Communication for Multi-Agent Reinforcement Learning. 11763-11771 - Xianghua Zeng, Hao Peng, Angsheng Li:
Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles. 11772-11780 - Eric Zhao, Alexander R. Trott, Caiming Xiong, Stephan Zheng:
Learning to Play General-Sum Games against Multiple Boundedly Rational Agents. 11781-11789
AAAI Technical Track on Philosophy and Ethics of AI
- Mateo Espinosa Zarlenga
Towards Robust Metrics for Concept Representation Evaluation. 11791-11799 - Pei Fang, Jinghui Chen:
On the Vulnerability of Backdoor Defenses for Federated Learning. 11800-11808 - Soumya Suvra Ghosal, Yixuan Li:
Distributionally Robust Optimization with Probabilistic Group. 11809-11817 - Samuel Goree, Weslie Khoo, David J. Crandall:
Correct for Whom? Subjectivity and the Evaluation of Personalized Image Aesthetics Assessment Models. 11818-11827 - Yue He, Xinwei Shen, Renzhe Xu, Tong Zhang, Yong Jiang, Wenchao Zou, Peng Cui:
Covariate-Shift Generalization via Random Sample Weighting. 11828-11836 - Nathanael Jo, Bill Tang, Kathryn Dullerud, Sina Aghaei, Eric Rice, Phebe Vayanos:
Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results. 11837-11846 - Gunnar König, Timo Freiesleben, Moritz Grosse-Wentrup:
Improvement-Focused Causal Recourse (ICR). 11847-11855 - Thao Le
Explaining Model Confidence Using Counterfactuals. 11856-11864 - Yixuan Liu, Suyun Zhao, Li Xiong, Yuhan Liu, Hong Chen:
Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model. 11865-11872 - Truc D. T. Nguyen
XRand: Differentially Private Defense against Explanation-Guided Attacks. 11873-11881 - Taylor Olson, Kenneth D. Forbus:
Mitigating Adversarial Norm Training with Moral Axioms. 11882-11889 - Anik Pramanik, Pan Xu, Yifan Xu:
Equity Promotion in Public Transportation. 11890-11898 - Jakob Schoeffer
Online Platforms and the Fair Exposure Problem under Homophily. 11899-11908 - Zhenhuan Yang, Yan Lok Ko, Kush R. Varshney, Yiming Ying:
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence. 11909-11917 - Zhou Zhai, Lei Luo, Heng Huang, Bin Gu:
Faster Fair Machine via Transferring Fairness Constraints to Virtual Samples. 11918-11925 - Dorde Zikelic, Mathias Lechner, Thomas A. Henzinger, Krishnendu Chatterjee:
Learning Control Policies for Stochastic Systems with Reach-Avoid Guarantees. 11926-11935
AAAI Technical Track on Planning, Routing, and Scheduling
- Leonardo Amado, Ramon Fraga Pereira, Felipe Meneguzzi:
Robust Neuro-Symbolic Goal and Plan Recognition. 11937-11944 - Dillon Ze Chen
Heuristic Search for Multi-Objective Probabilistic Planning. 11945-11954 - Augusto B. Corrêa, Clemens Büchner, Remo Christen:
Zero-Knowledge Proofs for Classical Planning Problems. 11955-11962 - Clarissa Costen, Marc Rigter, Bruno Lacerda, Nick Hawes:
Planning with Hidden Parameter Polynomial MDPs. 11963-11971 - Stephan A. Fahrenkrog-Petersen
Privacy Attacks on Schedule-Driven Data. 11972-11979 - Jiarui Gan, Annika Hennes, Rupak Majumdar, Debmalya Mandal, Goran Radanovic:
Markov Decision Processes with Time-Varying Geometric Discounting. 11980-11988 - Themistoklis Gouleakis, Konstantinos Lakis, Golnoosh Shahkarami:
Learning-Augmented Algorithms for Online TSP on the Line. 11989-11996 - Christine Herlihy
Networked Restless Bandits with Positive Externalities. 11997-12004 - Leonardo Lamanna, Luciano Serafini, Mohamadreza Faridghasemnia, Alessandro Saffiotti, Alessandro Saetti, Alfonso Gerevini, Paolo Traverso:
Planning for Learning Object Properties. 12005-12013 - Zihao Li
Fully Online Matching with Stochastic Arrivals and Departures. 12014-12021 - Songtuan Lin, Alban Grastien, Pascal Bercher
Towards Automated Modeling Assistance: An Efficient Approach for Repairing Flawed Planning Domains. 12022-12031 - Songtuan Lin, Pascal Bercher
Was Fixing This Really That Hard? On the Complexity of Correcting HTN Domains. 12032-12040 - Songtuan Lin, Gregor Behnke
On Total-Order HTN Plan Verification with Method Preconditions - An Extension of the CYK Parsing Algorithm. 12041-12048 - Dora D. Liu, Liang Hu, Qi Zhang, Tangwei Ye, Usman Naseem
A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept. 12049-12057 - Guiyang Luo, Yantao Wang, Hui Zhang, Quan Yuan, Jinglin Li:
AlphaRoute: Large-Scale Coordinated Route Planning via Monte Carlo Tree Search. 12058-12067 - Zhezheng Luo, Jiayuan Mao, Jiajun Wu, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
Learning Rational Subgoals from Demonstrations and Instructions. 12068-12078 - Argaman Mordoch, Brendan Juba, Roni Stern:
Learning Safe Numeric Action Models. 12079-12086 - Ronen Nir, Alexander Shleyfman, Erez Karpas:
Automated Verification of Social Laws in Numeric Settings. 12087-12094 - Stefan Panjkovic, Andrea Micheli:
Expressive Optimal Temporal Planning via Optimization Modulo Theory. 12095-12102 - Paula Rodriguez Diaz, Jackson A. Killian, Lily Xu, Arun Sai Suggala, Aparna Taneja, Milind Tambe:
Flexible Budgets in Restless Bandits: A Primal-Dual Algorithm for Efficient Budget Allocation. 12103-12111 - Alexander Shleyfman, Daniel Gnad, Peter Jonsson:
Structurally Restricted Fragments of Numeric Planning - a Complexity Analysis. 12112-12119 - Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum:
Predicate Invention for Bilevel Planning. 12120-12129 - Kai Wang, Zhao Song, Georgios Theocharous, Sridhar Mahadevan:
Smoothed Online Combinatorial Optimization Using Imperfect Predictions. 12130-12137 - Kai Wang, Shresth Verma, Aditya Mate, Sanket Shah, Aparna Taneja, Neha Madhiwalla, Aparna Hegde, Milind Tambe:
Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health. 12138-12146 - Dongxiang Zhang, Ziyang Xiao, Yuan Wang, Mingli Song, Gang Chen:
Neural TSP Solver with Progressive Distillation. 12147-12154 - Jingyang Zhao, Mingyu Xiao:
The Linear Distance Traveling Tournament Problem Allows an EPTAS. 12155-12162
AAAI Technical Track on Reasoning Under Uncertainty
- Ragib Ahsan, David Arbour, Elena Zheleva:
Learning Relational Causal Models with Cycles through Relational Acyclification. 12164-12171 - Tara V. Anand, Adèle H. Ribeiro
Causal Effect Identification in Cluster DAGs. 12172-12179 - Ankur Ankan, Johannes Textor:
A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data. 12180-12188 - Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Xiao Shou:
Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation. 12189-12197 - Ben Chugg, Peter Henderson, Jacob Goldin, Daniel E. Ho:
Entropy Regularization for Population Estimation. 12198-12204 - Jonathan Feldstein, Dominic Phillips
Principled and Efficient Motif Finding for Structure Learning of Lifted Graphical Models. 12205-12215 - Juha Harviainen
A Faster Practical Approximation Scheme for the Permanent. 12216-12224 - Seongmin Hong
Neural Diffeomorphic Non-uniform B-spline Flows. 12225-12233 - Yuta Kawakami
Identification and Estimation of the Probabilities of Potential Outcome Types Using Covariate Information in Studies with Non-compliance. 12234-12242 - Loong Kuan Lee
Computing Divergences between Discrete Decomposable Models. 12243-12251 - Anji Liu, Hongming Xu, Guy Van den Broeck, Yitao Liang:
Out-of-Distribution Generalization by Neural-Symbolic Joint Training. 12252-12259 - Ehsan Mokhtarian
Novel Ordering-Based Approaches for Causal Structure Learning in the Presence of Unobserved Variables. 12260-12268 - Petros Petsinis, Andreas Pavlogiannis, Panagiotis Karras:
Maximizing the Probability of Fixation in the Positional Voter Model. 12269-12277 - Nikil Roashan Selvam, Guy Van den Broeck, YooJung Choi:
Certifying Fairness of Probabilistic Circuits. 12278-12286 - Ryusei Shingaki, Manabu Kuroki:
Probabilities of Potential Outcome Types in Experimental Studies: Identification and Estimation Based on Proxy Covariate Information. 12287-12294 - Jan Tóth, Ondrej Kuzelka:
Lifted Inference with Linear Order Axiom. 12295-12304 - Jonas Wahl, Urmi Ninad, Jakob Runge:
Vector Causal Inference between Two Groups of Variables. 12305-12312 - Marcel Wienöbst, Malte Luttermann, Max Bannach, Maciej Liskiewicz:
Efficient Enumeration of Markov Equivalent DAGs. 12313-12320 - Hao Zhang, Yewei Xia, Yixin Ren, Jihong Guan, Shuigeng Zhou:
Differentially Private Nonlinear Causal Discovery from Numerical Data. 12321-12328
AAAI Technical Track on Search and Optimization
- Zain Alabedeen Ali
Safe Interval Path Planning with Kinodynamic Constraints. 12330-12337 - Daichi Amagata:
Diversity Maximization in the Presence of Outliers. 12338-12345 - Matthias Bentert, Leon Kellerhals, Rolf Niedermeier:
Fair Short Paths in Vertex-Colored Graphs. 12346-12354 - Jasmin Brandt, Elias Schede, Björn Haddenhorst
AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration. 12355-12363 - Angelina Brilliantova, Hannah Miller, Ivona Bezáková:
GRASMOS: Graph Signage Model Selection for Gene Regulatory Networks. 12364-12372 - Mark Carlson, Sajjad K. Moghadam, Daniel Damir Harabor, Peter J. Stuckey, Morteza Ebrahimi:
Optimal Pathfinding on Weighted Grid Maps. 12373-12380 - Chen Dang, Cristina Bazgan, Tristan Cazenave, Morgan Chopin, Pierre-Henri Wuillemin:
Warm-Starting Nested Rollout Policy Adaptation with Optimal Stopping. 12381-12389 - Duc-Cuong Dang, Andre Opris, Bahare Salehi, Dirk Sudholt:
A Proof That Using Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation. 12390-12398 - Benjamin Doerr, Zhongdi Qu:
Runtime Analysis for the NSGA-II: Provable Speed-Ups from Crossover. 12399-12407 - Benjamin Doerr, Zhongdi Qu:
From Understanding the Population Dynamics of the NSGA-II to the First Proven Lower Bounds. 12408-12416 - Jinchun Du, Bojie Shen
Ultrafast Euclidean Shortest Path Computation Using Hub Labeling. 12417-12426 - Amihay Elboher, Ava Bensoussan, Erez Karpas, Wheeler Ruml, Shahaf S. Shperberg, Solomon Eyal Shimony:
A Formal Metareasoning Model of Concurrent Planning and Execution. 12427-12435 - Daniil E. Kirilenko, Anton Andreychuk, Aleksandr Panov, Konstantin S. Yakovlev:
TransPath: Learning Heuristics for Grid-Based Pathfinding via Transformers. 12436-12443 - Lucas Kletzander, Nysret Musliu:
Large-State Reinforcement Learning for Hyper-Heuristics. 12444-12452 - Dan-Xuan Liu, Xin Mu, Chao Qian:
Human Assisted Learning by Evolutionary Multi-Objective Optimization. 12453-12461 - Minfang Lu
OPT-GAN: A Broad-Spectrum Global Optimizer for Black-Box Problems by Learning Distribution. 12462-12472 - Reza Mashayekhi, Dor Atzmon, Nathan R. Sturtevant:
Analyzing and Improving the Use of the FastMap Embedding in Pathfinding Tasks. 12473-12481 - Olaf Parczyk, Sebastian Pokutta, Christoph Spiegel, Tibor Szabó:
Fully Computer-Assisted Proofs in Extremal Combinatorics. 12482-12490 - Guihong Wan, Meng Jiao, Xinglong Ju, Yu Zhang, Haim Schweitzer, Feng Liu:
Electrophysiological Brain Source Imaging via Combinatorial Search with Provable Optimality. 12491-12499 - Yanhao Wang
Improved Algorithm for Regret Ratio Minimization in Multi-Objective Submodular Maximization. 12500-12508 - Siyuan Xu
Efficient Gradient Approximation Method for Constrained Bilevel Optimization. 12509-12517 - Ruihao Zheng
A Generalized Scalarization Method for Evolutionary Multi-Objective Optimization. 12518-12525
AAAI Technical Track on Speech & Natural Language Processing
- Wenbin An
Generalized Category Discovery with Decoupled Prototypical Network. 12527-12535 - Abhijeet Awasthi, Soumen Chakrabarti, Sunita Sarawagi:
Structured Case-Based Reasoning for Inference-Time Adaptation of Text-to-SQL Parsers. 12536-12544 - Haitao Bai, Pinghui Wang, Ruofei Zhang, Zhou Su:
SegFormer: A Topic Segmentation Model with Controllable Range of Attention. 12545-12552 - Long Bai
Rich Event Modeling for Script Event Prediction. 12553-12561 - Taejun Bak, Junmo Lee, Hanbin Bae, Jinhyeok Yang, Jae-Sung Bae, Young-Sun Joo:
Avocodo: Generative Adversarial Network for Artifact-Free Vocoder. 12562-12570 - Karan Bhukar, Harshit Kumar, Dinesh Raghu, Ajay Gupta:
End-to-End Deep Reinforcement Learning for Conversation Disentanglement. 12571-12579 - Bibo Cai, Xiao Ding, Zhouhao Sun, Bing Qin, Ting Liu, Baojun Wang, Lifeng Shang:
Self-Supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning. 12580-12588 - Pengfei Cao, Zhuoran Jin, Yubo Chen
Zero-Shot Cross-Lingual Event Argument Extraction with Language-Oriented Prefix-Tuning. 12589-12597 - Ziyi Cao, Bingquan Liu, Shaobo Li:
RPA: Reasoning Path Augmentation in Iterative Retrieving for Multi-Hop QA. 12598-12606 - Chen Chen, Yuchen Hu, Qiang Zhang, Heqing Zou, Beier Zhu, Eng Siong Chng:
Leveraging Modality-Specific Representations for Audio-Visual Speech Recognition via Reinforcement Learning. 12607-12615 - Jiangjie Chen, Rui Xu, Wenxuan Zeng, Changzhi Sun, Lei Li, Yanghua Xiao:
Converge to the Truth: Factual Error Correction via Iterative Constrained Editing. 12616-12625 - Junfan Chen, Richong Zhang, Zheyan Luo, Chunming Hu, Yongyi Mao:
Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime. 12626-12634 - Keyu Chen, Shiliang Sun:
CP-Rec: Contextual Prompting for Conversational Recommender Systems. 12635-12643 - Li-Wei Chen, Shinji Watanabe, Alexander Rudnicky:
A Vector Quantized Approach for Text to Speech Synthesis on Real-World Spontaneous Speech. 12644-12652 - Ruijun Chen, Jin Wang, Liang-Chih Yu, Xuejie Zhang:
Learning to Memorize Entailment and Discourse Relations for Persona-Consistent Dialogues. 12653-12661 - Wenqing Chen, Jidong Tian, Caoyun Fan, Yitian Li, Hao He, Yaohui Jin:
Preference-Controlled Multi-Objective Reinforcement Learning for Conditional Text Generation. 12662-12672 - Xiuying Chen, Mingzhe Li, Jiayi Zhang, Xiaoqiang Xia, Chen Wei, Jianwei Cui, Xin Gao, Xiangliang Zhang, Rui Yan:
Learning towards Selective Data Augmentation for Dialogue Generation. 12673-12681 - Yongrui Chen
Learn from Yesterday: A Semi-supervised Continual Learning Method for Supervision-Limited Text-to-SQL Task Streams. 12682-12690 - Lizhi Cheng, Wenmian Yang, Weijia Jia:
A Scope Sensitive and Result Attentive Model for Multi-Intent Spoken Language Understanding. 12691-12699 - Sijie Cheng, Zhiyong Wu, Jiangjie Chen, Zhixing Li, Yang Liu, Lingpeng Kong:
Unsupervised Explanation Generation via Correct Instantiations. 12700-12708 - Hyunsoo Cho, Hyuhng Joon Kim, Junyeob Kim, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo
Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-Shot In-Context Learners. 12709-12718 - Kostadin Cvejoski, Ramsés J. Sánchez, César Ojeda:
Neural Dynamic Focused Topic Model. 12719-12727 - Hexuan Deng, Liang Ding, Xuebo Liu, Meishan Zhang, Dacheng Tao, Min Zhang:
Improving Simultaneous Machine Translation with Monolingual Data. 12728-12736 - Chenxiao Dou, Xianghui Sun, Yaoshu Wang, Yunjie Ji, Baochang Ma, Xiangang Li:
Domain-Adapted Dependency Parsing for Cross-Domain Named Entity Recognition. 12737-12744 - Longxu Dou, Yan Gao, Mingyang Pan, Dingzirui Wang, Wanxiang Che, Dechen Zhan, Jian-Guang Lou:
MultiSpider: Towards Benchmarking Multilingual Text-to-SQL Semantic Parsing. 12745-12753 - Jiangshu Du, Wenpeng Yin
Learning to Select from Multiple Options. 12754-12762 - Liam Dugan
Real or Fake Text?: Investigating Human Ability to Detect Boundaries between Human-Written and Machine-Generated Text. 12763-12771 - Aosong Feng, Irene Li, Yuang Jiang, Rex Ying:
Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences. 12772-12780 - Giacomo Frisoni, Paolo Italiani, Stefano Salvatori, Gianluca Moro:
Cogito Ergo Summ: Abstractive Summarization of Biomedical Papers via Semantic Parsing Graphs and Consistency Rewards. 12781-12789 - Yingwen Fu, Wenjie Ou, Zhou Yu, Yue Lin:
MIGA: A Unified Multi-Task Generation Framework for Conversational Text-to-SQL. 12790-12798 - Zihao Fu, Haoran Yang, Anthony Man-Cho So, Wai Lam, Lidong Bing, Nigel Collier:
On the Effectiveness of Parameter-Efficient Fine-Tuning. 12799-12807 - Revanth Gangi Reddy, Heba Elfardy, Hou Pong Chan, Kevin Small, Heng Ji:
SumREN: Summarizing Reported Speech about Events in News. 12808-12817 - Ling Ge
ProKD: An Unsupervised Prototypical Knowledge Distillation Network for Zero-Resource Cross-Lingual Named Entity Recognition. 12818-12826 - Xiang Geng, Yu Zhang, Jiahuan Li, Shujian Huang, Hao Yang, Shimin Tao, Yimeng Chen, Ning Xie, Jiajun Chen:
Denoising Pre-training for Machine Translation Quality Estimation with Curriculum Learning. 12827-12835 - Jian Guan, Zhenyu Yang, Rongsheng Zhang, Zhipeng Hu, Minlie Huang:
Generating Coherent Narratives by Learning Dynamic and Discrete Entity States with a Contrastive Framework. 12836-12844 - Jinyu Guo, Kai Shuang, Kaihang Zhang, Yixuan Liu, Jijie Li, Zihan Wang:
Learning to Imagine: Distillation-Based Interactive Context Exploitation for Dialogue State Tracking. 12845-12853 - Pei Guo, Yisheng Xiao, Juntao Li, Min Zhang:
RenewNAT: Renewing Potential Translation for Non-autoregressive Transformer. 12854-12862 - Hongliang He
Instance Smoothed Contrastive Learning for Unsupervised Sentence Embedding. 12863-12871 - Yu Hong, Jiahang Li, Jianchuan Feng, Chenghua Huang, Zhixu Li, Jianfeng Qu, Yanghua Xiao, Wei Wang:
Competition or Cooperation? Exploring Unlabeled Data via Challenging Minimax Game for Semi-supervised Relation Extraction. 12872-12880 - Mahshid Hosseini, Cornelia Caragea:
Feature Normalization and Cartography-Based Demonstrations for Prompt-Based Fine-Tuning on Emotion-Related Tasks. 12881-12889 - Jinpeng Hu, Dandan Guo, Yang Liu, Zhuo Li, Zhihong Chen, Xiang Wan, Tsung-Hui Chang:
A Simple Yet Effective Subsequence-Enhanced Approach for Cross-Domain NER. 12890-12898 - Kai Hu, Zhuoyuan Wu, Zhuoyao Zhong, Weihong Lin, Lei Sun, Qiang Huo:
A Question-Answering Approach to Key Value Pair Extraction from Form-Like Document Images. 12899-12906 - Lijie Hu, Yixin Liu
SEAT: Stable and Explainable Attention. 12907-12915 - Qiushi Huang, Yu Zhang, Tom Ko, Xubo Liu, Bo Wu, Wenwu Wang, H. Lilian Tang:
Personalized Dialogue Generation with Persona-Adaptive Attention. 12916-12923 - Xiang Huang, Sitao Cheng, Yiheng Shu, Yuheng Bao, Yuzhong Qu:
Question Decomposition Tree for Answering Complex Questions over Knowledge Bases. 12924-12932 - Sanghun Im, Gibaeg Kim, Heung-Seon Oh, Seongung Jo, Donghwan Kim:
Hierarchical Text Classification as Sub-hierarchy Sequence Generation. 12933-12941 - Tahir Javed, Kaushal Santosh Bhogale, Abhigyan Raman, Pratyush Kumar, Anoop Kunchukuttan, Mitesh M. Khapra:
IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian Languages. 12942-12950 - Ran Jia, Qiyu Li
SheetPT: Spreadsheet Pre-training Based on Hierarchical Attention Network. 12951-12958 - Chenglong Jiang
SeDepTTS: Enhancing the Naturalness via Semantic Dependency and Local Convolution for Text-to-Speech Synthesis. 12959-12967 - Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie:
Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes. 12968-12976 - Yufeng Jin, Guosheng Hu, Haonan Chen, Duoqian Miao, Liang Hu, Cairong Zhao:
Cross-Modal Distillation for Speaker Recognition. 12977-12985 - Shivani Kumar, Ishani Mondal, Md. Shad Akhtar, Tanmoy Chakraborty:
Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal Dialogues. 12986-12994 - Mingrui Lao, Nan Pu, Yu Liu, Kai He, Erwin M. Bakker, Michael S. Lew:
COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering. 12995-13003 - Jaeseong Lee, Dohyeon Lee, Seung-won Hwang:
Script, Language, and Labels: Overcoming Three Discrepancies for Low-Resource Language Specialization. 13004-13013 - Seongyun Lee, Hyunjae Kim, Jaewoo Kang:
LIQUID: A Framework for List Question Answering Dataset Generation. 13014-13024 - Yi Lei, Shan Yang, Xinsheng Wang, Qicong Xie, Jixun Yao, Lei Xie, Dan Su:
UniSyn: An End-to-End Unified Model for Text-to-Speech and Singing Voice Synthesis. 13025-13033 - Yichong Leng, Xu Tan, Wenjie Liu, Kaitao Song, Rui Wang, Xiang-Yang Li, Tao Qin, Edward Lin, Tie-Yan Liu:
SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition. 13034-13042 - Bo Li, Dingyao Yu, Wei Ye, Jinglei Zhang, Shikun Zhang:
Sequence Generation with Label Augmentation for Relation Extraction. 13043-13050 - Bo Li, Wei Ye, Jinglei Zhang, Shikun Zhang:
Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction. 13051-13058 - Guozheng Li, Peng Wang, Qiqing Luo, Yanhe Liu, Wenjun Ke:
Online Noisy Continual Relation Learning. 13059-13066 - Haoyang Li, Jing Zhang, Cuiping Li, Hong Chen:
RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL. 13067-13075 - Jinyang Li, Binyuan Hui, Reynold Cheng
Graphix-T5: Mixing Pre-trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing. 13076-13084 - Miao Li, Jianzhong Qi
Compressed Heterogeneous Graph for Abstractive Multi-Document Summarization. 13085-13093 - Minghao Li, Tengchao Lv, Jingye Chen, Lei Cui, Yijuan Lu, Dinei A. F. Florêncio, Cha Zhang, Zhoujun Li, Furu Wei:
TrOCR: Transformer-Based Optical Character Recognition with Pre-trained Models. 13094-13102 - Shimin Li, Qinyuan Cheng, Linyang Li, Xipeng Qiu:
Mitigating Negative Style Transfer in Hybrid Dialogue System. 13103-13111 - Tongliang Li
Low Resource Quantitative Information Extraction via Structure Searching and Prefix-Based Text Generation. 13112-13120 - Wei Li, Luyao Zhu, Rui Mao
SKIER: A Symbolic Knowledge Integrated Model for Conversational Emotion Recognition. 13121-13129 - Xiang Li, Yiwen Wang, Yifan Sun, Xihong Wu, Jing Chen:
PGSS: Pitch-Guided Speech Separation. 13130-13138 - Xiao Li
DyRRen: A Dynamic Retriever-Reranker-Generator Model for Numerical Reasoning over Tabular and Textual Data. 13139-13147 - Yiwei Li, Shaoxiong Feng, Bin Sun, Kan Li:
Heterogeneous-Branch Collaborative Learning for Dialogue Generation. 13148-13156 - Yunpeng Li, Yue Hu, Yajing Sun, Luxi Xing, Ping Guo, Yuqiang Xie, Wei Peng:
Learning to Know Myself: A Coarse-to-Fine Persona-Aware Training Framework for Personalized Dialogue Generation. 13157-13165 - Zimeng Li, Bo Shao, Linjun Shou, Ming Gong, Gen Li, Daxin Jiang:
WIERT: Web Information Extraction via Render Tree. 13166-13173 - Shuo Liang, Wei Wei, Xian-Ling Mao, Yuanyuan Fu, Rui Fang, Dangyang Chen:
STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction. 13174-13182 - Zhenwen Liang, Jipeng Zhang, Lei Wang, Yan Wang, Jie Shao, Xiangliang Zhang:
Generalizing Math Word Problem Solvers via Solution Diversification. 13183-13191 - Bill Yuchen Lin, Chengsong Huang, Qian Liu, Wenda Gu, Sam Sommerer, Xiang Ren:
On Grounded Planning for Embodied Tasks with Language Models. 13192-13200 - Chang Liu, Jie Zhang, Han Fang, Zehua Ma, Weiming Zhang, Nenghai Yu:
DeAR: A Deep-Learning-Based Audio Re-recording Resilient Watermarking. 13201-13209 - Danyang Liu, Frank Keller:
Detecting and Grounding Important Characters in Visual Stories. 13210-13218 - Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Fenglong Ma, Xiao-Ming Wu, Hongyang Chen, Hong Yu, Xianchao Zhang:
Boosting Few-Shot Text Classification via Distribution Estimation. 13219-13227 - Han Liu, Zhi Xu, Xiaotong Zhang, Xiaoming Xu, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang:
SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack. 13228-13235 - Jiguo Liu
LADA-Trans-NER: Adaptive Efficient Transformer for Chinese Named Entity Recognition Using Lexicon-Attention and Data-Augmentation. 13236-13245 - Min Liu, Yu Bao, Chengqi Zhao, Shujian Huang:
Selective Knowledge Distillation for Non-Autoregressive Neural Machine Translation. 13246-13254 - Pingsheng Liu, Zhengjie Huang, Xiechi Zhang, Linlin Wang, Gerard de Melo, Xin Lin, Liang Pang, Liang He:
A Disentangled-Attention Based Framework with Persona-Aware Prompt Learning for Dialogue Generation. 13255-13263 - Sijia Liu, Patrick Lange, Behnam Hedayatnia, Alexandros Papangelis, Di Jin, Andrew Wirth, Yang Liu, Dilek Hakkani-Tur:
Towards Credible Human Evaluation of Open-Domain Dialog Systems Using Interactive Setup. 13264-13272 - Tianyuan Liu, Yuqing Sun, Jiaqi Wu, Xi Xu, Yuchen Han, Cheng Li, Bin Gong:
Unsupervised Paraphrasing under Syntax Knowledge. 13273-13281 - Wei Liu, Ming Xiang, Nai Ding:
Adjective Scale Probe: Can Language Models Encode Formal Semantics Information? 13282-13290 - Xiaokang Liu
Effective Open Intent Classification with K-center Contrastive Learning and Adjustable Decision Boundary. 13291-13299 - Lajanugen Logeswaran, Wilka Carvalho, Honglak Lee:
Learning Compositional Tasks from Language Instructions. 13300-13308 - Yuxing Long, Binyuan Hui, Fulong Ye, Yanyang Li, Zhuoxin Han, Caixia Yuan, Yongbin Li, Xiaojie Wang:
SPRING: Situated Conversation Agent Pretrained with Multimodal Questions from Incremental Layout Graph. 13309-13317 - Jie Lou, Yaojie Lu, Dai Dai, Wei Jia, Hongyu Lin, Xianpei Han, Le Sun, Hua Wu:
Universal Information Extraction as Unified Semantic Matching. 13318-13326 - Jinghui Lu, Rui Zhao, Brian Mac Namee, Fei Tan:
PUnifiedNER: A Prompting-Based Unified NER System for Diverse Datasets. 13327-13335 - Yilin Lu, Xiaoqiang Wang, Haofeng Yang, Siliang Tang:
KICE: A Knowledge Consolidation and Expansion Framework for Relation Extraction. 13336-13343 - Qiaoyang Luo, Lingqiao Liu:
Zero-Shot Slot Filling with Slot-Prefix Prompting and Attention Relationship Descriptor. 13344-13352 - Yougang Lyu, Piji Li, Yechang Yang, Maarten de Rijke, Pengjie Ren, Yukun Zhao, Dawei Yin, Zhaochun Ren:
Feature-Level Debiased Natural Language Understanding. 13353-13361 - Yueen Ma, Zixing Song, Xuming Hu, Jingjing Li, Yifei Zhang, Irwin King:
Graph Component Contrastive Learning for Concept Relatedness Estimation. 13362-13370 - Zhiyuan Ma, Zhihuan Yu, Jianjun Li, Guohui Li:
HybridPrompt: Bridging Language Models and Human Priors in Prompt Tuning for Visual Question Answering. 13371-13379 - Jianguo Mao, Wenbin Jiang, Hong Liu, Xiangdong Wang, Yajuan Lyu:
Inferential Knowledge-Enhanced Integrated Reasoning for Video Question Answering. 13380-13388 - Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine
AUC Maximization for Low-Resource Named Entity Recognition. 13389-13399 - Lunyiu Nie, Jiuding Sun, Yanlin Wang, Lun Du, Shi Han, Dongmei Zhang, Lei Hou, Juanzi Li, Jidong Zhai:
Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing. 13400-13408 - Yuting Ning, Zhenya Huang, Xin Lin, Enhong Chen, Shiwei Tong, Zheng Gong
Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training. 13409-13418 - Farhad Nooralahzadeh, Rico Sennrich
Improving the Cross-Lingual Generalisation in Visual Question Answering. 13419-13427 - Shinhyeok Oh, HyeongRae Noh, Yoonseok Hong, Insoo Oh:
RWEN-TTS: Relation-Aware Word Encoding Network for Natural Text-to-Speech Synthesis. 13428-13436 - Jiefu Ou, Adithya Pratapa, Rishubh Gupta, Teruko Mitamura:
Hierarchical Event Grounding. 13437-13445 - Eunhwan Park, Sung-Min Lee, Daeryong Seo, Seonhoon Kim, Inho Kang, Seung-Hoon Na:
RINK: Reader-Inherited Evidence Reranker for Table-and-Text Open Domain Question Answering. 13446-13456 - Jinyoung Park, Hyeong Kyu Choi, Juyeon Ko, Hyeon-Jin Park, Ji-Hoon Kim, Jisu Jeong, Kyung-Min Kim, Hyunwoo J. Kim:
Relation-Aware Language-Graph Transformer for Question Answering. 13457-13464 - Jirui Qi, Richong Zhang, Jaein Kim, Junfan Chen, Wenyi Qin, Yongyi Mao:
Multi-Mask Label Mapping for Prompt-Based Learning. 13465-13473 - Pengnian Qi, Biao Qin:
SSMI: Semantic Similarity and Mutual Information Maximization Based Enhancement for Chinese NER. 13474-13482 - Libo Qin, Zhouyang Li, Qiying Yu, Lehan Wang, Wanxiang Che:
Towards Complex Scenarios: Building End-to-End Task-Oriented Dialogue System across Multiple Knowledge Bases. 13483-13491 - Xiangyu Qin, Zhiyu Wu, Tingting Zhang, Yanran Li, Jian Luan, Bin Wang, Li Wang
BERT-ERC: Fine-Tuning BERT Is Enough for Emotion Recognition in Conversation. 13492-13500 - Xiaoye Qu, Jun Zeng, Daizong Liu, Zhefeng Wang, Baoxing Huai, Pan Zhou:
Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-Grained Student Ensemble. 13501-13509 - Hongyan Ran, Caiyan Jia:
Unsupervised Cross-Domain Rumor Detection with Contrastive Learning and Cross-Attention. 13510-13518 - Abudurexiti Reheman, Tao Zhou, Yingfeng Luo, Di Yang, Tong Xiao
Prompting Neural Machine Translation with Translation Memories. 13519-13527 - Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava, Zhe Wang, Yangfeng Ji, Yanjun Qi:
Improving Interpretability via Explicit Word Interaction Graph Layer. 13528-13537 - Chenze Shao, Jinchao Zhang, Jie Zhou, Yang Feng:
Rephrasing the Reference for Non-autoregressive Machine Translation. 13538-13546 - Jivitesh Sharma, Rohan Kumar Yadav, Ole-Christoffer Granmo, Lei Jiao:
Drop Clause: Enhancing Performance, Robustness and Pattern Recognition Capabilities of the Tsetlin Machine. 13547-13555 - Shuaijie She, Xiang Geng, Shujian Huang, Jiajun Chen:
CoP: Factual Inconsistency Detection by Controlling the Preference. 13556-13563 - Kazutoshi Shinoda, Saku Sugawara, Akiko Aizawa:
Which Shortcut Solution Do Question Answering Models Prefer to Learn? 13564-13572 - Jiasheng Si, Yingjie Zhu, Deyu Zhou:
Exploring Faithful Rationale for Multi-Hop Fact Verification via Salience-Aware Graph Learning. 13573-13581 - Kaisong Song, Yangyang Kang, Jiawei Liu, Xurui Li, Changlong Sun, Xiaozhong Liu:
A Speaker Turn-Aware Multi-Task Adversarial Network for Joint User Satisfaction Estimation and Sentiment Analysis. 13582-13590 - Karolina Stanczak
A Latent-Variable Model for Intrinsic Probing. 13591-13599 - Bin Sun, Yitong Li, Fei Mi, Weichao Wang, Yiwei Li, Kan Li:
Towards Diverse, Relevant and Coherent Open-Domain Dialogue Generation via Hybrid Latent Variables. 13600-13608 - Hongda Sun, Quan Tu, Jinpeng Li, Rui Yan:
ConvNTM: Conversational Neural Topic Model. 13609-13617 - Weiwei Sun, Zhengliang Shi, Shen Gao, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Contrastive Learning Reduces Hallucination in Conversations. 13618-13626 - Wenxin Tai, Fan Zhou, Goce Trajcevski, Ting Zhong:
Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement. 13627-13635 - Ryota Tanaka, Kyosuke Nishida, Kosuke Nishida, Taku Hasegawa, Itsumi Saito, Kuniko Saito:
SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images. 13636-13645 - Jiachen Tian, Shizhan Chen, Xiaowang Zhang, Xin Wang, Zhiyong Feng:
Reducing Sentiment Bias in Pre-trained Sentiment Classification via Adaptive Gumbel Attack. 13646-13654 - Jidong Tian, Wenqing Chen, Yitian Li, Caoyun Fan, Hao He, Yaohui Jin:
Latent Constraints on Unsupervised Text-Graph Alignment with Information Asymmetry. 13655-13663 - Prashanth Vijayaraghavan, Deb Roy:
M-sense: Modeling Narrative Structure in Short Personal Narratives Using Protagonist's Mental Representations. 13664-13672 - Marin Vlastelica, Patrick Ernst, Gyuri Szarvas:
Taming Continuous Posteriors for Latent Variational Dialogue Policies. 13673-13681 - Jianing Wang, Chengyu Wang, Jun Huang, Ming Gao, Aoying Zhou:
Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling. 13682-13690 - Linlin Wang, Zefeng Cai, Gerard de Melo, Zhu Cao, Liang He:
Disentangled CVAEs with Contrastive Learning for Explainable Recommendation. 13691-13699 - Peng Wang, Tong Shao
fmLRE: A Low-Resource Relation Extraction Model Based on Feature Mapping Similarity Calculation. 13700-13708 - Rongxiang Weng, Qiang Wang, Wensen Cheng, Changfeng Zhu, Min Zhang:
Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning. 13709-13717 - Shao-En Weng, Hong-Han Shuai, Wen-Huang Cheng:
Zero-Shot Face-Based Voice Conversion: Bottleneck-Free Speech Disentanglement in the Real-World Scenario. 13718-13726 - Hongqiu Wu, Ruixue Ding, Hai Zhao, Pengjun Xie, Fei Huang, Min Zhang:
Adversarial Self-Attention for Language Understanding. 13727-13735 - Lianwei Wu, Pusheng Liu, Yanning Zhang:
See How You Read? Multi-Reading Habits Fusion Reasoning for Multi-Modal Fake News Detection. 13736-13744 - Sifan Wu, Ruihui Zhao, Yefeng Zheng, Jian Pei, Bang Liu:
Identify Event Causality with Knowledge and Analogy. 13745-13753 - Tiandeng Wu, Qijiong Liu, Yi Cao, Yao Huang, Xiao-Ming Wu, Jiandong Ding
Continual Graph Convolutional Network for Text Classification. 13754-13762 - Xiaobao Wu, Xinshuai Dong, Thong Nguyen, Chaoqun Liu, Liangming Pan, Anh Tuan Luu:
InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling. 13763-13771 - Yihan Wu, Junliang Guo, Xu Tan, Chen Zhang, Bohan Li, Ruihua Song, Lei He, Sheng Zhao, Arul Menezes, Jiang Bian:
VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing. 13772-13779 - Tomer Wullach, Shlomo E. Chazan:
Don't Be So Sure! Boosting ASR Decoding via Confidence Relaxation. 13780-13788 - Yisheng Xiao, Ruiyang Xu, Lijun Wu, Juntao Li, Tao Qin, Tie-Yan Liu, Min Zhang:
AMOM: Adaptive Masking over Masking for Conditional Masked Language Model. 13789-13797 - Xiangjin Xie, Yangning Li, Wang Chen, Kai Ouyang, Zuotong Xie, Haitao Zheng:
Global Mixup: Eliminating Ambiguity with Clustering. 13798-13806 - Yuan Xie
MoEC: Mixture of Expert Clusters. 13807-13815 - Zhouhang Xie, Sameer Singh, Julian J. McAuley, Bodhisattwa Prasad Majumder:
Factual and Informative Review Generation for Explainable Recommendation. 13816-13824 - Chunlei Xin, Hongyu Lin, Shan Wu, Xianpei Han, Bo Chen, Wen Dai, Shuai Chen, Bin Wang, Le Sun:
Dialogue Rewriting via Skeleton-Guided Generation. 13825-13833 - Jing Xu, Dandan Song, Chong Liu, Siu Cheung Hui, Fei Li
Dialogue State Distillation Network with Inter-slot Contrastive Learning for Dialogue State Tracking. 13834-13842 - Qiancheng Xu, Min Yang, Ruifeng Xu:
Balanced Meta Learning and Diverse Sampling for Lifelong Task-Oriented Dialogue Systems. 13843-13852 - Xinmeng Xu, Weiping Tu, Yuhong Yang:
Selector-Enhancer: Learning Dynamic Selection of Local and Non-local Attention Operation for Speech Enhancement. 13853-13860 - Zenan Xu, Linjun Shou, Jian Pei, Ming Gong, Qinliang Su, Xiaojun Quan, Daxin Jiang:
A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension. 13861-13868 - Zhenran Xu, Yulin Chen, Baotian Hu:
Improving Biomedical Entity Linking with Cross-Entity Interaction. 13869-13877 - Yukun Yan, Bingling Cai, Sen Song:
Nested Named Entity Recognition as Building Local Hypergraphs. 13878-13886 - Fengyi Yang, Xi Zhou, Yating Yang, Bo Ma, Rui Dong, Abibulla Atawulla:
A Domain-Transfer Meta Task Design Paradigm for Few-Shot Slot Tagging. 13887-13895 - Tao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang:
Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection. 13896-13904 - Zhihan Yang, Zhiyong Wu, Ying Shan, Jia Jia:
What Does Your Face Sound Like? 3D Face Shape towards Voice. 13905-13913 - Qichen Ye, Bowen Cao, Nuo Chen, Weiyuan Xu, Yuexian Zou:
FiTs: Fine-Grained Two-Stage Training for Knowledge-Aware Question Answering. 13914-13922 - Tong Ye, Shijing Si, Jianzong Wang
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models. 13923-13931 - Ruifeng Yuan, Zili Wang, Ziqiang Cao, Wenjie Li:
Preserve Context Information for Extract-Generate Long-Input Summarization Framework. 13932-13939 - Jun Zhang, Wen Yao, Xiaoqian Chen, Ling Feng:
Transferable Post-hoc Calibration on Pretrained Transformers in Noisy Text Classification. 13940-13948 - Junwei Zhang, Ruifang He, Fengyu Guo:
Quantum-Inspired Representation for Long-Tail Senses of Word Sense Disambiguation. 13949-13957 - Liang Zhang, Anwen Hu, Jing Zhang, Shuo Hu, Qin Jin:
MPMQA: Multimodal Question Answering on Product Manuals. 13958-13966 - Liang Zhang, Jinsong Su, Zijun Min, Zhongjian Miao, Qingguo Hu, Biao Fu, Xiaodong Shi, Yidong Chen:
Exploring Self-Distillation Based Relational Reasoning Training for Document-Level Relation Extraction. 13967-13975 - Shuo Zhang, Junzhou Zhao, Pinghui Wang, Tianxiang Wang, Zi Liang, Jing Tao, Yi Huang, Junlan Feng:
Multi-Action Dialog Policy Learning from Logged User Feedback. 13976-13983 - Yuhao Zhang, Chen Xu, Bojie Hu, Chunliang Zhang, Tong Xiao
Improving End-to-End Speech Translation by Leveraging Auxiliary Speech and Text Data. 13984-13992 - Yunan Zhang
A Neural Span-Based Continual Named Entity Recognition Model. 13993-14001 - Zhuosheng Zhang, Hai Zhao, Masao Utiyama, Eiichiro Sumita:
Language Model Pre-training on True Negatives. 14002-14010 - Shan Zhao, Chengyu Wang, Minghao Hu, Tianwei Yan, Meng Wang:
MCL: Multi-Granularity Contrastive Learning Framework for Chinese NER. 14011-14019 - Weixiang Zhao, Yanyan Zhao, Zhuojun Li, Bing Qin:
Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment. 14020-14028 - Ce Zheng, Yiming Wang, Baobao Chang:
Query Your Model with Definitions in FrameNet: An Effective Method for Frame Semantic Role Labeling. 14029-14037 - Bo Zhou, Yubo Chen
Event Process Typing via Hierarchical Optimal Transport. 14038-14046 - Kang Zhou, Qiao Qiao, Yuepei Li, Qi Li
Improving Distantly Supervised Relation Extraction by Natural Language Inference. 14047-14055 - Fangqi Zhu, Jun Gao, Changlong Yu, Wei Wang, Chen Xu, Xin Mu, Min Yang, Ruifeng Xu:
A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning. 14056-14064 - Qi Zhu, Fei Mi, Zheng Zhang, Yasheng Wang, Yitong Li, Xin Jiang, Qun Liu, Xiaoyan Zhu, Minlie Huang:
KPT: Keyword-Guided Pre-training for Grounded Dialog Generation. 14065-14073 - Tianyu Zong, Likun Zhang:
An Ensemble Distillation Framework for Sentence Embeddings with Multilingual Round-Trip Translation. 14074-14082
AAAI Special Track on AI for Social Impact
- Shivangi Aneja, Chris Bregler, Matthias Nießner:
COSMOS: Catching Out-of-Context Image Misuse Using Self-Supervised Learning. 14084-14092 - Chandrayee Basu, Rosni Vasu, Michihiro Yasunaga, Qian Yang:
Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts. 14093-14101 - Sumana Basu, Marc-André Legault, Adriana Romero-Soriano, Doina Precup:
On the Challenges of Using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects. 14102-14109 - Ruben Becker, Gianlorenzo D'Angelo, Sajjad Ghobadi
On the Cost of Demographic Parity in Influence Maximization. 14110-14118 - Ruben Becker, Gianlorenzo D'Angelo, Sajjad Ghobadi
Improving Fairness in Information Exposure by Adding Links. 14119-14126 - Avinandan Bose, Tracey Li, Arunesh Sinha, Tien Mai:
A Fair Incentive Scheme for Community Health Workers. 14127-14135 - Anna Bykova, Nikolay Filippov, Ivan P. Yamshchikov:
Rehabilitating Homeless: Dataset and Key Insights. 14136-14143 - Lucius E. J. Bynum, Joshua R. Loftus
Counterfactuals for the Future. 14144-14152 - Ziwei Chai, Yang Yang, Jiawang Dan, Sheng Tian, Changhua Meng, Weiqiang Wang, Yifei Sun:
Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network. 14153-14160 - Serina Chang, Damir Vrabac, Jure Leskovec, Johan Ugander:
Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks. 14161-14169 - Giovanni Charles, Timothy M. Wolock, Peter Winskill, Azra C. Ghani, Samir Bhatt, Seth R. Flaxman:
Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference. 14170-14177 - Evelyn Chee, Mong-Li Lee, Wynne Hsu:
Leveraging Old Knowledge to Continually Learn New Classes in Medical Images. 14178-14186 - Chao-Peng Chen, Jun-Wei Hsieh, Ping-Yang Chen, Yi-Kuan Hsieh, Bor-Shiun Wang:
SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection. 14187-14195 - Jiahao Chen, Zitao Liu, Shuyan Huang, Qiongqiong Liu, Weiqi Luo:
Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations. 14196-14204 - Dawei Cheng, Zhibin Niu, Jianfu Zhang, Yiyi Zhang, Changjun Jiang:
Critical Firms Prediction for Stemming Contagion Risk in Networked-Loans through Graph-Based Deep Reinforcement Learning. 14205-14213 - Yuechun Gu, Keke Chen:
GAN-Based Domain Inference Attack. 14214-14222 - Erhu He, Yiqun Xie, Licheng Liu, Weiye Chen
Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction. 14223-14231 - Zexue He, An Yan, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion. 14232-14240 - Zhenyu Hou, Yukuo Cen, Ziding Liu, Dongxue Wu, Baoyan Wang, Xuanhe Li, Lei Hong, Jie Tang:
MTDiag: An Effective Multi-Task Framework for Automatic Diagnosis. 14241-14248 - Weimin Huang, Elias B. Khalil:
Walkability Optimization: Formulations, Algorithms, and a Case Study of Toronto. 14249-14258 - Scott R. Jeen, Alessandro Abate, Jonathan M. Cullen:
Low Emission Building Control with Zero-Shot Reinforcement Learning. 14259-14267 - Guangyin Jin, Lingbo Liu, Fuxian Li, Jincai Huang:
Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction. 14268-14276 - Jared Katzman, Angelina Wang, Morgan Klaus Scheuerman, Su Lin Blodgett, Kristen Laird, Hanna M. Wallach, Solon Barocas:
Taxonomizing and Measuring Representational Harms: A Look at Image Tagging. 14277-14285 - Vanshaj Khattar, Ming Jin:
Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-Based Guidance. 14286-14294 - Jackson A. Killian, Arpita Biswas
Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program. 14295-14303 - Astrid Klipfel, Zied Bouraoui, Olivier Peltre, Yaël Frégier, Najwa Harrati, Adlane Sayede
Equivariant Message Passing Neural Network for Crystal Material Discovery. 14304-14311 - Xuran Li, Peng Wu, Jing Su:
Accurate Fairness: Improving Individual Fairness without Trading Accuracy. 14312-14320 - Zhili Li, Yiqun Xie, Xiaowei Jia, Kara Stuart, Caroline Delaire, Sergii Skakun:
Point-to-Region Co-learning for Poverty Mapping at High Resolution Using Satellite Imagery. 14321-14328 - Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann:
AirFormer: Predicting Nationwide Air Quality in China with Transformers. 14329-14337 - Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, Jing Gao:
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification. 14338-14346 - Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li:
Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax. 14347-14355 - Yunchao Liu
Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery. 14356-14364 - Zhexiong Liu, Licheng Liu, Yiqun Xie, Zhenong Jin, Xiaowei Jia:
Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability. 14365-14373 - Feng Lu, Wei Li, Zhiqiang Zhou, Cheng Song, Yifei Sun, Yuwei Zhang, Yufei Ren, Xiaofei Liao, Hai Jin, Ailin Luo, Albert Y. Zomaya:
A Composite Multi-Attention Framework for Intraoperative Hypotension Early Warning. 14374-14381 - Alexandra Sasha Luccioni, David Rolnick:
Bugs in the Data: How ImageNet Misrepresents Biodiversity. 14382-14390 - Carmen Mazijn, Carina Prunkl
LUCID: Exposing Algorithmic Bias through Inverse Design. 14391-14399 - Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng:
Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network. 14400-14407 - Kshitij Mishra, Priyanshu Priya, Asif Ekbal:
Help Me Heal: A Reinforced Polite and Empathetic Mental Health and Legal Counseling Dialogue System for Crime Victims. 14408-14416 - Gianluca Moro, Luca Ragazzi, Lorenzo Valgimigli:
Carburacy: Summarization Models Tuning and Comparison in Eco-Sustainable Regimes with a Novel Carbon-Aware Accuracy. 14417-14425 - Duy M. H. Nguyen, Hoang Nguyen, Truong Thanh Nhat Mai
Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering. 14426-14435 - Zihao Pan
For the Underrepresented in Gender Bias Research: Chinese Name Gender Prediction with Heterogeneous Graph Attention Network. 14436-14443 - Peng Qi
FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms. 14444-14452 - Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash:
EINNs: Epidemiologically-Informed Neural Networks. 14453-14460 - Lucas Rosenblatt, R. Teal Witter:
Counterfactual Fairness Is Basically Demographic Parity. 14461-14469 - Katie Rosman, Daniel B. Neill:
Detecting Anomalous Networks of Opioid Prescribers and Dispensers in Prescription Drug Data. 14470-14477 - Nataniel Ruiz, Sarah Adel Bargal, Cihang Xie, Stan Sclaroff:
Practical Disruption of Image Translation Deepfake Networks. 14478-14486 - Zhaohong Sun, Yoshihiro Takenami, Daisuke Moriwaki, Yoji Tomita, Makoto Yokoo:
Daycare Matching in Japan: Transfers and Siblings. 14487-14495 - Shreevignesh Suriyanarayanan
City-Scale Pollution Aware Traffic Routing by Sampling Max Flows Using MCMC. 14496-14503 - Mauricio Tec, James G. Scott, Corwin M. Zigler:
Weather2vec: Representation Learning for Causal Inference with Non-local Confounding in Air Pollution and Climate Studies. 14504-14513 - Ilias Tsoumas, Georgios Giannarakis, Vasileios Sitokonstantinou, Alkiviadis Koukos, Dimitra Loka, Nikolaos S. Bartsotas, Charalampos Kontoes, Ioannis Athanasiadis:
Evaluating Digital Agriculture Recommendations with Causal Inference. 14514-14522 - Ruyuan Wan
Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Information. 14523-14530 - Fu-En Wang, Chien-Yi Wang, Min Sun, Shang-Hong Lai:
MixFairFace: Towards Ultimate Fairness via MixFair Adapter in Face Recognition. 14531-14538 - Huandong Wang, Changzheng Gao, Yuchen Wu, Depeng Jin, Lina Yao, Yong Li:
PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning. 14539-14547 - Tianyi Wang
Noise Based Deepfake Detection via Multi-Head Relative-Interaction. 14548-14556 - Sheng Xiang, Mingzhi Zhu, Dawei Cheng, Enxia Li, Ruihui Zhao, Yi Ouyang, Ling Chen, Yefeng Zheng:
Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation. 14557-14565 - Yue Xiang, Dixin Luo, Hongteng Xu:
Privacy-Preserved Evolutionary Graph Modeling via Gromov-Wasserstein Autoregression. 14566-14574 - Yiqun Xie, Zhili Li, Han Bao, Xiaowei Jia, Dongkuan Xu, Xun Zhou, Sergii Skakun:
Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics. 14575-14583 - Guang Yang
ERASER: AdvERsArial Sensitive Element Remover for Image Privacy Preservation. 14584-14592 - Abdelrahman Zayed, Prasanna Parthasarathi, Gonçalo Mordido, Hamid Palangi, Samira Shabanian, Sarath Chandar:
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness. 14593-14601 - Zijie Zeng, Dragan Gasevic, Guanliang Chen:
On the Effectiveness of Curriculum Learning in Educational Text Scoring. 14602-14610 - Wenbin Zhang, Tina Hernandez-Boussard, Jeremy C. Weiss:
Censored Fairness through Awareness. 14611-14619 - Wenbo Zhang, Hangzhi Guo, Prerna Ranganathan, Jay Patel, Sathyanath Rajasekharan, Nidhi Danayak, Manan Gupta, Amulya Yadav:
A Continual Pre-training Approach to Tele-Triaging Pregnant Women in Kenya. 14620-14627 - Xianjie Zhang, Pradeep Varakantham
Future Aware Pricing and Matching for Sustainable On-Demand Ride Pooling. 14628-14636 - Yang Zhang, Ziyi Kou, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Dong Wang:
A Crowd-AI Collaborative Duo Relational Graph Learning Framework towards Social Impact Aware Photo Classification. 14637-14645 - Junjie Zhu, Lin Gu, Xiaoxiao Wu, Zheng Li, Tatsuya Harada, Yingying Zhu:
People Taking Photos That Faces Never Share: Privacy Protection and Fairness Enhancement from Camera to User. 14646-14654 - Ivan Zvonkov, Gabriel Tseng, Catherine Nakalembe, Hannah Kerner:
OpenMapFlow: A Library for Rapid Map Creation with Machine Learning and Remote Sensing Data. 14655-14663
AAAI Special Track on Safe and Robust AI
- Mohammad Abdulaziz
Formally Verified SAT-Based AI Planning. 14665-14673 - Michal Ajdarów
Shielding in Resource-Constrained Goal POMDPs. 14674-14682 - Francesco Alesiani:
Implicit Bilevel Optimization: Differentiating through Bilevel Optimization Programming. 14683-14691 - Edward Ayers, Jonathan Sadeghi, John Redford, Romain Mueller, Puneet K. Dokania:
Query-Based Hard-Image Retrieval for Object Detection at Test Time. 14692-14700 - Thom S. Badings, Licio Romao, Alessandro Abate, Nils Jansen:
Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty. 14701-14710 - Sirui Bi, Victor Fung, Jiaxin Zhang:
Accelerating Inverse Learning via Intelligent Localization with Exploratory Sampling. 14711-14719 - Behzad Bozorgtabar, Dwarikanath Mahapatra:
Attention-Conditioned Augmentations for Self-Supervised Anomaly Detection and Localization. 14720-14728 - Fabio Brau, Giulio Rossolini, Alessandro Biondi, Giorgio C. Buttazzo:
Robust-by-Design Classification via Unitary-Gradient Neural Networks. 14729-14737 - Yi Cai, Xuefei Ning, Huazhong Yang, Yu Wang:
Ensemble-in-One: Ensemble Learning within Random Gated Networks for Enhanced Adversarial Robustness. 14738-14747 - Steven Carr, Nils Jansen, Sebastian Junges
Safe Reinforcement Learning via Shielding under Partial Observability. 14748-14756 - Anandsingh Chauhan, Mayank Baranwal, Ansuma Basumatary:
PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks. 14757-14764 - Mingcai Chen, Hao Cheng, Yuntao Du
Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise. 14765-14773 - Kang Choi, Donghyun Son, Younghoon Kim, Jiwon Seo:
Testing the Channels of Convolutional Neural Networks. 14774-14782 - Bao Gia Doan, Shuiqiao Yang, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe:
Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness. 14783-14791 - Kalyani Dole, Ashutosh Gupta, John Komp
Correct-by-Construction Reinforcement Learning of Cardiac Pacemakers from Duration Calculus Requirements. 14792-14800 - Wenlu Du, Junyi Ye, Jingyi Gu, Jing Li, Hua Wei
SafeLight: A Reinforcement Learning Method toward Collision-Free Traffic Signal Control. 14801-14810 - Yuchu Fang, Wenzhong Li, Yao Zeng, Yang Zheng
PatchNAS: Repairing DNNs in Deployment with Patched Network Architecture Search. 14811-14819 - Junyao Gao
Similarity Distribution Based Membership Inference Attack on Person Re-identification. 14820-14828 - Joris Guérin, Kevin Delmas, Raul Sena Ferreira, Jérémie Guiochet:
Out-of-Distribution Detection Is Not All You Need. 14829-14837 - Rohit Gupta, Naveed Akhtar
Contrastive Self-Supervised Learning Leads to Higher Adversarial Susceptibility. 14838-14846 - Tairan He, Weiye Zhao, Changliu Liu:
AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning. 14847-14855 - Achim Hekler, Titus J. Brinker, Florian Buettner:
Test Time Augmentation Meets Post-hoc Calibration: Uncertainty Quantification under Real-World Conditions. 14856-14864 - Patrick Henriksen, Alessio Lomuscio
Robust Training of Neural Networks against Bias Field Perturbations. 14865-14873 - Geon Heo, Steven Euijong Whang:
Redactor: A Data-Centric and Individualized Defense against Inference Attacks. 14874-14882 - Pengyue Hou, Jie Han, Xingyu Li:
Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting. 14883-14891 - Akshita Jha, Chandan K. Reddy:
CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models. 14892-14900 - Junqi Jiang
Formalising the Robustness of Counterfactual Explanations for Neural Networks. 14901-14909 - Wenyu Jiang, Yuxin Ge, Hao Cheng, Mingcai Chen, Shuai Feng, Chongjun Wang:
READ: Aggregating Reconstruction Error into Out-of-Distribution Detection. 14910-14918 - Tom Joy, Francesco Pinto, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania:
Sample-Dependent Adaptive Temperature Scaling for Improved Calibration. 14919-14926 - Majid Khonji, Duoaa Khalifa:
Heuristic Search in Dual Space for Constrained Fixed-Horizon POMDPs with Durative Actions. 14927-14936 - Jianglin Lan, Yang Zheng, Alessio Lomuscio
Iteratively Enhanced Semidefinite Relaxations for Efficient Neural Network Verification. 14937-14945 - Jianglin Lan, Benedikt Brückner
A Semidefinite Relaxation Based Branch-and-Bound Method for Tight Neural Network Verification. 14946-14954 - Yuhang Lan, Fei Shang, Jianhua Yang, Xiangui Kang, Enping Li:
Robust Image Steganography: Hiding Messages in Frequency Coefficients. 14955-14963 - Mathias Lechner, Dorde Zikelic, Krishnendu Chatterjee, Thomas A. Henzinger, Daniela Rus:
Quantization-Aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks. 14964-14973 - Jungsoo Lee, Jeonghoon Park, Daeyoung Kim, Juyoung Lee, Edward Choi, Jaegul Choo:
Revisiting the Importance of Amplifying Bias for Debiasing. 14974-14981 - Boqi Li, Weiwei Liu:
WAT: Improve the Worst-Class Robustness in Adversarial Training. 14982-14990 - Peixuan Li, Pengzhou Cheng, Fangqi Li, Wei Du, Haodong Zhao, Gongshen Liu:
PLMmark: A Secure and Robust Black-Box Watermarking Framework for Pre-trained Language Models. 14991-14999 - Yangdi Lu, Zhiwei Xu, Wenbo He:
Rethinking Label Refurbishment: Model Robustness under Label Noise. 15000-15008 - Todor Markov, Chong Zhang, Sandhini Agarwal, Florentine Eloundou Nekoul, Theodore Lee, Steven Adler, Angela Jiang, Lilian Weng:
A Holistic Approach to Undesired Content Detection in the Real World. 15009-15018 - Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens, Raman Arora, I-Jeng Wang:
A Risk-Sensitive Approach to Policy Optimization. 15019-15027 - Saemi Moon, Myeonghyeon Kim, Zhenyue Qin, Yang Liu, Dongwoo Kim:
Anonymization for Skeleton Action Recognition. 15028-15036 - Carlos Mougan, Dan Saattrup Nielsen
Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap. 15037-15045 - Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Gaojie Jin, Qiang Ni:
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning. 15046-15054 - Pathmanathan Pankayaraj, Pradeep Varakantham
Constrained Reinforcement Learning in Hard Exploration Problems. 15055-15063 - Giulio Rossolini, Federico Nesti, Fabio Brau, Alessandro Biondi, Giorgio C. Buttazzo:
Defending from Physically-Realizable Adversarial Attacks through Internal Over-Activation Analysis. 15064-15072 - Maximilian Schäffeler, Mohammad Abdulaziz
Formally Verified Solution Methods for Markov Decision Processes. 15073-15081 - Lei Shang, Mouxiao Huang, Wu Shi, Yuchen Liu, Yang Liu, Wang Steven, Baigui Sun, Xuansong Xie, Yu Qiao:
Improving Training and Inference of Face Recognition Models via Random Temperature Scaling. 15082-15090 - Kartik Sharma, Samidha Verma, Sourav Medya, Arnab Bhattacharya, Sayan Ranu:
Task and Model Agnostic Adversarial Attack on Graph Neural Networks. 15091-15099 - Qihao Shi, Bingyang Fu, Can Wang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen:
Robust Sequence Networked Submodular Maximization. 15100-15108 - Thiago D. Simão, Marnix Suilen, Nils Jansen:
Safe Policy Improvement for POMDPs via Finite-State Controllers. 15109-15117 - Nikhil Kumar Singh, Indranil Saha:
STL-Based Synthesis of Feedback Controllers Using Reinforcement Learning. 15118-15126 - Sanchit Sinha, Mengdi Huai, Jianhui Sun, Aidong Zhang:
Understanding and Enhancing Robustness of Concept-Based Models. 15127-15135 - Joar Skalse, Alessandro Abate:
Misspecification in Inverse Reinforcement Learning. 15136-15143 - Aishwarya Srivastava, Sandhya Saisubramanian, Praveen Paruchuri, Akshat Kumar, Shlomo Zilberstein:
Planning and Learning for Non-markovian Negative Side Effects Using Finite State Controllers. 15144-15151 - Yana Stoyanova, Soroush Ghandi, Maryam Tavakol:
Toward Robust Uncertainty Estimation with Random Activation Functions. 15152-15160 - Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu:
Improving Robust Fariness via Balance Adversarial Training. 15161-15169 - Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang:
DPAUC: Differentially Private AUC Computation in Federated Learning. 15170-15178 - Sebastian Szyller, N. Asokan
Conflicting Interactions among Protection Mechanisms for Machine Learning Models. 15179-15187 - Marcel Vinzent, Siddhant Sharma, Jörg Hoffmann:
Neural Policy Safety Verification via Predicate Abstraction: CEGAR. 15188-15196 - Fu Wang, Peipei Xu, Wenjie Ruan, Xiaowei Huang:
Towards Verifying the Geometric Robustness of Large-Scale Neural Networks. 15197-15205 - Yongwei Wang, Yong Liu, Zhiqi Shen:
Revisiting Item Promotion in GNN-Based Collaborative Filtering: A Masked Targeted Topological Attack Perspective. 15206-15214 - Yue Wang
Robust Average-Reward Markov Decision Processes. 15215-15223 - Zhenzhong Wang, Lulu Cao, Wanyu Lin, Min Jiang, Kay Chen Tan:
Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs. 15224-15232 - Hui Wei
HOTCOLD Block: Fooling Thermal Infrared Detectors with a Novel Wearable Design. 15233-15241 - Wai Tuck Wong, Sarah Eve Kinsey, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha:
Beyond NaN: Resiliency of Optimization Layers in the Face of Infeasibility. 15242-15250 - Xuan Xie, Fuyuan Zhang, Xinwen Hu, Lei Ma:
DeepGemini: Verifying Dependency Fairness for Deep Neural Network. 15251-15259 - Clay H. Yoo, Ashiqur R. KhudaBukhsh:
Auditing and Robustifying COVID-19 Misinformation Datasets via Anticontent Sampling. 15260-15268 - Haoyi You, Beichen Yu, Haiming Jin, Zhaoxing Yang, Jiahui Sun:
User-Oriented Robust Reinforcement Learning. 15269-15277 - Xia Zeng, Zhengfeng Yang, Li Zhang, Xiaochao Tang, Zhenbing Zeng, Zhiming Liu:
Safety Verification of Nonlinear Systems with Bayesian Neural Network Controllers. 15278-15286 - Chi Zhang, Wenjie Ruan, Peipei Xu:
Reachability Analysis of Neural Network Control Systems. 15287-15295 - Jiahong Zhang, Lihong Cao, Qiuxia Lai, Bingyao Li, Yunxiao Qin:
BIFRNet: A Brain-Inspired Feature Restoration DNN for Partially Occluded Image Recognition. 15296-15304 - Lily H. Zhang, Rajesh Ranganath:
Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection. 15305-15312 - Linrui Zhang, Qin Zhang, Li Shen, Bo Yuan, Xueqian Wang, Dacheng Tao:
Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks. 15313-15321 - Shengyu Zhang, Xusheng Feng, Wenyan Fan, Wenjing Fang, Fuli Feng, Wei Ji, Shuo Li, Li Wang, Shanshan Zhao, Zhou Zhao, Tat-Seng Chua, Fei Wu:
Video-Audio Domain Generalization via Confounder Disentanglement. 15322-15330 - Zixuan Zhang, Maitham Al-Sunni, Haoming Jing, Hirokazu Shirado, Yorie Nakahira:
Rethinking Safe Control in the Presence of Self-Seeking Humans. 15331-15339 - Bingzhuo Zhong, Hongpeng Cao, Majid Zamani, Marco Caccamo:
Towards Safe AI: Sandboxing DNNs-Based Controllers in Stochastic Games. 15340-15349
Senior Member Presentation: Blue Sky Papers
- Ronen I. Brafman, David Tolpin, Or Wertheim:
Probabilistic Programs as an Action Description Language. 15351-15358 - Vincent Conitzer, Caspar Oesterheld:
Foundations of Cooperative AI. 15359-15367 - Vincent Ng, Shengjie Li:
Multimodal Propaganda Processing. 15368-15375 - Seiji Takeda, Akihiro Kishimoto, Lisa Hamada, Daiju Nakano, John R. Smith:
Foundation Model for Material Science. 15376-15383
Senior Member Presentation: Bridge Papers
- William W. Cohen, Wenhu Chen, Michiel de Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting:
QA Is the New KR: Question-Answer Pairs as Knowledge Bases. 15385-15392 - Sarit Kraus, Yaniv Oshrat, Yonatan Aumann, Tal Hollander, Oleg Maksimov, Anita Ostroumov, Natali Shechtman:
Customer Service Combining Human Operators and Virtual Agents: A Call for Multidisciplinary AI Research. 15393-15401 - Yevgeniy Vorobeychik:
The Many Faces of Adversarial Machine Learning. 15402-15409
Senior Member Presentation: Summary Papers
- Pin-Yu Chen, Sijia Liu:
Holistic Adversarial Robustness of Deep Learning Models. 15411-15420 - Salvatore Ruggieri, José M. Álvarez, Andrea Pugnana
Can We Trust Fair-AI? 15421-15430
New Faculty Highlights
- Ali Baheri:
Safety Validation of Learning-Based Autonomous Systems: A Multi-Fidelity Approach. 15432 - YooJung Choi:
Probabilistic Reasoning and Learning for Trustworthy AI. 15433 - Andrew Cropper:
The Automatic Computer Scientist. 15434 - Karthik Desingh:
Perception for General-purpose Robot Manipulation. 15435 - Yali Du:
Cooperative Multi-Agent Learning in a Complex World: Challenges and Solutions. 15436 - Hongchang Gao:
Distributed Stochastic Nested Optimization for Emerging Machine Learning Models: Algorithm and Theory. 15437 - Manas Gaur
Targeted Knowledge Infusion To Make Conversational AI Explainable and Safe. 15438 - Leilani H. Gilpin:
Accountability Layers: Explaining Complex System Failures by Parts. 15439 - Aditya Grover:
Generative Decision Making Under Uncertainty. 15440 - Azanzi Jiomekong:
Food Information Engineering: A Systematic Literature Review. 15441 - Sarah Keren:
Better Environments for Better AI. 15442 - Elias B. Khalil:
Recent Developments in Data-Driven Algorithms for Discrete Optimization. 15443 - Srijan Kumar:
Advances in AI for Safety, Equity, and Well-Being on Web and Social Media: Detection, Robustness, Attribution, and Mitigation. 15444 - Jiaoyang Li:
Intelligent Planning for Large-Scale Multi-Robot Coordination. 15445 - Yingzhen Li:
Robust and Adaptive Deep Learning via Bayesian Principles. 15446 - Sijia Liu:
AAAI New Faculty Highlights: General and Scalable Optimization for Robust AI. 15447 - Anna Lukina
Combining Runtime Monitoring and Machine Learning with Human Feedback. 15448 - Wenhao Luo:
Towards Safe and Resilient Autonomy in Multi-Robot Systems. 15449 - Andrew Perrault:
Monitoring and Intervening on Large Populations of Weakly Coupled Processes with Social Impact Applications. 15450 - Mohammad Rostami:
Internal Robust Representations for Domain Generalization. 15451 - Sandhya Saisubramanian:
Planning and Learning for Reliable Autonomy in the Open World. 15452 - Fernando P. Santos:
Dynamics of Cooperation and Conflict in Multiagent Systems. 15453 - Kai Shu:
Combating Disinformation on Social Media and Its Challenges: A Computational Perspective. 15454 - Sarath Sreedharan:
Human-Aware AI - A Foundational Framework for Human-AI Interaction. 15455 - Yapeng Tian:
Towards Unified, Explainable, and Robust Multisensory Perception. 15456 - Álvaro Torralba
Reshaping State-Space Search: From Dominance to Contrastive Analysis. 15457 - Serena Villata:
Artificial Intelligence at the Service of Society to Analyse Human Arguments. 15458 - Bryan Wilder:
AI for Equitable, Data-Driven Decisions in Public Health. 15459 - Jiajun Wu:
Learning to See the Physical World. 15460 - Yan Yan:
Enhance Robustness of Machine Learning with Improved Efficiency. 15461 - Shujian Yu:
The Analysis of Deep Neural Networks by Information Theory: From Explainability to Generalization. 15462 - Chuxu Zhang:
Towards Societal Impact of AI. 15463 - Hongyang R. Zhang:
Information Transfer in Multitask Learning, Data Augmentation, and Beyond. 15464 - Shangtong Zhang:
A New Challenge in Policy Evaluation. 15465 - Yuke Zhu:
Building Compositional Robot Autonomy with Modularity and Abstraction. 15466
IAAI Technical Track on deployed Highly Innovative Applications of AI
- Rabia Ali, Muhammad Sarmad, Jawad Tayyub, Alexander Vogel:
Accurate Detection of Weld Seams for Laser Welding in Real-World Manufacturing. 15468-15475 - Carlos Carrion, Zenan Wang
Blending Advertising with Organic Content in E-commerce via Virtual Bids. 15476-15484 - Yuanyuan Chen, Zichen Chen, Sheng Guo, Yansong Zhao, Zelei Liu, Pengcheng Wu, Chengyi Yang, Zengxiang Li, Han Yu:
Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout. 15485-15493 - Daniel Csillag
AmnioML: Amniotic Fluid Segmentation and Volume Prediction with Uncertainty Quantification. 15494-15502 - Gunnar Grotmol, Eivind Hovdegård Furdal, Nisha Dalal, Are Løkken Ottesen, Ella-Lovise Hammervold Rørvik, Martin Mølnå, Gleb Sizov, Odd Erik Gundersen:
A Robust and Scalable Stacked Ensemble for Day-Ahead Forecasting of Distribution Network Losses. 15503-15511 - Kyung-Pyo Kang, Ga Hyeon Jeong, Jeong Hoon Eom, Soon Beom Kwon, Jae Hong Park:
Developing the Wheel Image Similarity Application with Deep Metric Learning: Hyundai Motor Company Case. 15512-15518
IAAI Technical Track on emerging Applications of AI
- Maya Kapoor, Michael Napolitano, Jonathan Quance, Thomas Moyer, Siddharth Krishnan:
Detecting VoIP Data Streams: Approaches Using Hidden Representation Learning. 15519-15527
IAAI Technical Track on deployed Highly Innovative Applications of AI
- Sedrick Scott Keh, Zheyuan Ryan Shi
NewsPanda: Media Monitoring for Timely Conservation Action. 15528-15536 - Mihye Kim, Jimyung Choi, Jaehyun Kim, Wooyoung Kim, Yeonung Baek, Gisuk Bang, Kwangwoon Son, Yeonman Ryou, Kee-Eung Kim:
Trustworthy Residual Vehicle Value Prediction for Auto Finance. 15537-15544 - Bharath Muppasani, Cheyyur Jaya Anand, Chinmayi Appajigowda, Biplav Srivastava, Lokesh Johri:
A Dataset and Baseline Approach for Identifying Usage States from Non-intrusive Power Sensing with MiDAS IoT-Based Sensors. 15545-15550 - Anand Muralidhar, Sharad Chitlangia, Rajat Agarwal, Muneeb Ahmed:
Real-Time Detection of Robotic Traffic in Online Advertising. 15551-15559 - Marco Mussi, Gianmarco Genalti, Alessandro Nuara, Francesco Trovò, Marcello Restelli, Nicola Gatti:
Dynamic Pricing with Volume Discounts in Online Settings. 15560-15568 - Rahul Nair, Bo Schwartz Madsen, Alexander Kjærum:
An Explainable Forecasting System for Humanitarian Needs Assessment. 15569-15575 - Martijn Oldenhof
Industry-Scale Orchestrated Federated Learning for Drug Discovery. 15576-15584 - Kun Tang, Xu Cao
THMA: Tencent HD Map AI System for Creating HD Map Annotations. 15585-15593 - Shresth Verma, Gargi Singh, Aditya Mate, Paritosh Verma, Sruthi Gorantla, Neha Madhiwalla, Aparna Hegde, Divy Thakkar, Manish Jain, Milind Tambe, Aparna Taneja:
Increasing Impact of Mobile Health Programs: SAHELI for Maternal and Child Care. 15594-15602 - Fengjun Wang, Sarai Mizrachi, Moran Beladev, Guy Nadav, Gil Amsalem, Karen Lastmann Assaraf, Hadas Harush Boker:
MuMIC - Multimodal Embedding for Multi-Label Image Classification with Tempered Sigmoid. 15603-15611
IAAI Technical Track on emerging Applications of AI
- Luzhan Yuan, Wei Wang, Gaowei Zhang, Yi Wang:
OPRADI: Applying Security Game to Fight Drive under the Influence in Real-World. 15612-15620
IAAI Technical Track on deployed Highly Innovative Applications of AI
- Zhiqiang Zhou, Chaoli Zhang, Lingna Ma, Jing Gu, Huajie Qian, Qingsong Wen, Liang Sun, Peng Li, Zhimin Tang:
AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes. 15621-15629 - Zhaoyang Zhu, Weiqi Chen, Rui Xia, Tian Zhou, Peisong Niu, Bingqing Peng, Wenwei Wang, Hengbo Liu, Ziqing Ma, Qingsong Wen, Liang Sun:
eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms. 15630-15638
IAAI Technical Track on emerging Applications of AI
- Jadie Adams, Steven Lu, Krzysztof M. Gorski, Graca Rocha, Kiri L. Wagstaff:
Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach. 15640-15646 - Aniruddha Adiga, Gursharn Kaur, Lijing Wang, Benjamin Hurt, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan L. Lewis, Madhav V. Marathe:
Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts. 15647-15653 - Jayachandu Bandlamudi, Kushal Mukherjee, Prerna Agarwal, Sampath Dechu, Siyu Huo, Vatche Isahagian, Vinod Muthusamy, Naveen Purushothaman, Renuka Sindhgatta:
Towards Hybrid Automation by Bootstrapping Conversational Interfaces for IT Operation Tasks. 15654-15660 - Daniel Campos, Daniel J. Perry, Samir Joshi, Yashmeet Gambhir, Wei Du, Zhengzheng Xing, Aaron Colak:
Compressing Cross-Lingual Multi-Task Models at Qualtrics. 15661-15667 - Hayden Gunraj, Paul Guerrier, Sheldon Fernandez, Alexander Wong:
SolderNet: Towards Trustworthy Visual Inspection of Solder Joints in Electronics Manufacturing Using Explainable Artificial Intelligence. 15668-15674 - Darryl Hannan, Steven C. Nesbit, Ximing Wen, Glen Smith, Qiao Zhang
MobilePTX: Sparse Coding for Pneumothorax Detection Given Limited Training Examples. 15675-15681 - Sverre Herland, Kerstin Bach:
Vessel-to-Vessel Motion Compensation with Reinforcement Learning. 15682-15688 - Joonyoung Kim, Kangwook Lee, Haebin Shin, Hurnjoo Lee, Sechun Kang, Byunguk Choi, Dong Shin, Joohyung Lee:
Intuitive Access to Smartphone Settings Using Relevance Model Trained by Contrastive Learning. 15689-15695 - Flemming Kondrup, Thomas Jiralerspong, Elaine Lau, Nathan de Lara, Jacob Shkrob, My Duc Tran, Doina Precup, Sumana Basu:
Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning. 15696-15702 - Julian Lee, Kamal Viswanath, Alisha Sharma, Jason Geder, Marius Pruessner, Brian Zhou:
Data-Driven Machine Learning Models for a Multi-Objective Flapping Fin Unmanned Underwater Vehicle Control System. 15703-15709 - Deborah Mateja, Rebecca Armbruster, Jonathan Baumert, Tim Bleil, Jakob Langenbahn, Jan Christian Schwedhelm, Sarah Sester, Armin Heinzl:
AnimateSVG: Autonomous Creation and Aesthetics Evaluation of Scalable Vector Graphics Animations for the Case of Brand Logos. 15710-15716 - Aseem Saxena, Paola Pesantez-Cabrera, Rohan Ballapragada, Kin-Ho Lam, Markus Keller, Alan Fern:
Grape Cold Hardiness Prediction via Multi-Task Learning. 15717-15723 - Anna L. Trella, Kelly W. Zhang
Reward Design for an Online Reinforcement Learning Algorithm Supporting Oral Self-Care. 15724-15730 - Dirk van Bokkem, Max van den Hemel, Sebastijan Dumancic, Neil Yorke-Smith:
Embedding a Long Short-Term Memory Network in a Constraint Programming Framework for Tomato Greenhouse Optimisation. 15731-15737 - Qing Wang, Jesus Rios, Saurabh Jha, Karthikeyan Shanmugam
Fault Injection Based Interventional Causal Learning for Distributed Applications. 15738-15744 - Carol Xu, Mahmoud Famouri, Gautam Bathla, Mohammad Javad Shafiee, Alexander Wong:
High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing Environments. 15745-15751 - Tingting Xuan, Yimin Zhu, Giorgian Borca-Tasciuc, Ming Xiong Liu, Yu Sun, Cameron Dean, Yasser Corrales Morales, Zhaozhong Shi, Dantong Yu:
End-to-End Pipeline for Trigger Detection on Hit and Track Graphs. 15752-15758
IAAI Technical Track on Innovative Tools for Enabling AI Application
- Brian Hu, Paul Tunison, Brandon Richard Webster, Anthony Hoogs:
Xaitk-Saliency: An Open Source Explainable AI Toolkit for Saliency. 15760-15766 - Nishtha Madaan, Adithya Manjunatha, Hrithik Nambiar, Aviral Kumar Goel, Harivansh Kumar, Diptikalyan Saha, Srikanta Bedathur:
DetAIL: A Tool to Automatically Detect and Analyze Drift in Language. 15767-15773
IAAI Technical Track on nnovative Inter-disciplinary AI Integration
- Chen Du, Yiwei Wang, Zhicheng Yang, Hang Zhou, Mei Han, Jui-Hsin Lai:
PARCS: A Deployment-Oriented AI System for Robust Parcel-Level Cropland Segmentation of Satellite Images. 15775-15781 - Ferdian Jovan
Adaptive Temporal Planning for Multi-Robot Systems in Operations and Maintenance of Offshore Wind Farms. 15782-15788
EAAI Symposium: Main Track
- Joshua Archer, Rory Eckel, Joshua Hawkins, Jianlan Wang, Darrel Musslewhite, Yuanlin Zhang:
A Study of Students' Learning of Computing through an LP-Based Integrated Curriculum for Middle Schools. 15790-15797 - Steven Bogaerts:
AI and Parallelism in CS1: Experiences and Analysis. 15798-15806 - Theresa Elstner, Frank Loebe, Yamen Ajjour, Christopher Akiki, Alexander Bondarenko, Maik Fröbe, Lukas Gienapp, Nikolay Kolyada, Janis Mohr
Shared Tasks as Tutorials: A Methodical Approach. 15807-15815 - Margarita Geleta
Maestro: A Gamified Platform for Teaching AI Robustness. 15816-15824 - Skylar Kolisko, Carolyn Jane Anderson:
Exploring Social Biases of Large Language Models in a College Artificial Intelligence Course. 15825-15833 - Alexi Orchard, David Radke:
An Analysis of Engineering Students' Responses to an AI Ethics Scenario. 15834-15842 - Stephanie Rosenthal, Reid G. Simmons:
Autonomous Agents: An Advanced Course on AI Integration and Deployment. 15843-15850 - Yukyeong Song, Gloria Ashiya Katuka, Joanne Barrett, Xiaoyi Tian, Amit Kumar, Tom McKlin, Mehmet Celepkolu, Kristy Elizabeth Boyer, Maya Israel:
AI Made by Youth: A Conversational AI Curriculum for Middle School Summer Camps. 15851-15859 - Jessica Van Brummelen, Mingyan Claire Tian, Maura Kelleher, Nghi Hoang Nguyen:
Learning Affects Trust: Design Recommendations and Concepts for Teaching Children - and Nearly Anyone - about Conversational Agents. 15860-15868 - Simon Vandevelde, Joost Vennekens
FOLL-E: Teaching First Order Logic to Children. 15869-15876 - Joshua Vekhter, Joydeep Biswas:
Responsible Robotics: A Socio-Ethical Addition to Robotics Courses. 15877-15885 - Anastasia Zhdanovskaya, Daria Baidakova, Dmitry Ustalov:
Data Labeling for Machine Learning Engineers: Project-Based Curriculum and Data-Centric Competitions. 15886-15893
EAAI Symposium: AI for Education
- Nazia Alam, Mehak Maniktala, Behrooz Mostafavi, Min Chi, Tiffany Barnes:
Does Knowing When Help Is Needed Improve Subgoal Hint Performance in an Intelligent Data-Driven Logic Tutor? 15895-15902 - Mohammad Asadi, Vinitra Swamy, Jibril Frej, Julien Tuan Tu Vignoud, Mirko Marras, Tanja Käser:
Ripple: Concept-Based Interpretation for Raw Time Series Models in Education. 15903-15911 - Fanglan Chen, Subhodip Biswas, Zhiqian Chen, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu:
Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives. 15912-15920 - Iddo Drori, Sarah J. Zhang, Zad Chin, Reece Shuttleworth, Albert Lu, Linda Chen, Bereket Birbo, Michele He, Pedro Lantigua, Sunny Tran, Gregory Hunter, Bo Feng, Newman Cheng, Roman Wang, Yann Hicke, Saisamrit Surbehera, Arvind Raghavan, Alexander E. Siemenn, Nikhil Singh, Jayson Lynch, Avi Shporer, Nakul Verma, Tonio Buonassisi, Armando Solar-Lezama:
A Dataset for Learning University STEM Courses at Scale and Generating Questions at a Human Level. 15921-15929 - Roger Nkambou, Janie Brisson, Ange Tato, Serge Robert:
Learning Logical Reasoning Using an Intelligent Tutoring System: A Hybrid Approach to Student Modeling. 15930-15937 - Narges Norouzi, Amir Mazaheri:
Context-Aware Analysis of Group Submissions for Group Anomaly Detection and Performance Prediction. 15938-15946 - Tianhao Peng
CLGT: A Graph Transformer for Student Performance Prediction in Collaborative Learning. 15947-15954 - Shubhankar Singh, Anirudh Pupneja, Shivaansh Mital, Cheril Shah, Manish Bawkar, Lakshman Prasad Gupta, Ajit Kumar, Yaman Kumar, Rushali Gupta, Rajiv Ratn Shah:
H-AES: Towards Automated Essay Scoring for Hindi. 15955-15963 - Solomon Ubani, Rodney Nielsen, Helen Li:
Detecting Exclusive Language during Pair Programming. 15964-15971 - Mingyu Zong, Bhaskar Krishnamachari:
Solving Math Word Problems concerning Systems of Equations with GPT-3. 15972-15979
EAAI Symposium: Resources for Teaching AI in K-12
- Safinah Ali, Vishesh Kumar, Cynthia Breazeal:
AI Audit: A Card Game to Reflect on Everyday AI Systems. 15981-15989 - Brian Broll, Shuchi Grover:
Beyond Black-Boxes: Teaching Complex Machine Learning Ideas through Scaffolded Interactive Activities. 15990-15998 - Jie Chao, Rebecca Ellis
Exploring Artificial Intelligence in English Language Arts with StoryQ. 15999-16003 - Daniella DiPaola, Parker Malachowsky, Nancye Blair Black, Sharifa Alghowinem, Xiaoxue Du, Cynthia Breazeal:
An Introduction to Rule-Based Feature and Object Perception for Middle School Students. 16004-16010 - Vishesh Kumar, Marcelo Worsley:
Scratch for Sports: Athletic Drills as a Platform for Experiencing, Understanding, and Developing AI-Driven Apps. 16011-16016 - H. Nicole Pang, Robert Parks
"How Can I Code A.I. Responsibly?": The Effect of Computational Action on K-12 Students Learning and Creating Socially Responsible A.I. 16017-16024 - Kate Pearce, Sharifa Alghowinem, Cynthia Breazeal:
Build-a-Bot: Teaching Conversational AI Using a Transformer-Based Intent Recognition and Question Answering Architecture. 16025-16032 - Jiachen Song, Jinglei Yu, Li Yan, Linan Zhang, Bei Liu, Yujin Zhang, Yu Lu:
Develop AI Teaching and Learning Resources for Compulsory Education in China. 16033-16039 - David S. Touretzky, Christina Gardner-McCune:
Guiding Students to Investigate What Google Speech Recognition Knows about Language. 16040-16047 - Benjamin Walsh, Bridget Dalton, Stacey Forsyth, Tom Yeh:
Literacy and STEM Teachers Adapt AI Ethics Curriculum. 16048-16055
EAAI Symposium: Human-Aware AI in Sound and Music
- Weizhen Bian, Yijin Song, Nianzhen Gu, Tin Yan Chan, Tsz To Lo, Tsun Sun Li, King Chak Wong, Wei Xue
MoMusic: A Motion-Driven Human-AI Collaborative Music Composition and Performing System. 16057-16062 - Charats Burch, Robert Sprowl, Mehmet Ergezer:
A Multi-User Virtual World with Music Recommendations and Mood-Based Virtual Effects. 16063-16069 - Aaron Dorsey, Todd W. Neller, Hien G. Tran, Veysel Yilmaz:
Learning Adaptive Game Soundtrack Control. 16070-16077 - Viet Dung Nguyen
Predicting Perceived Music Emotions with Respect to Instrument Combinations. 16078-16086 - Hieu Tran, Tuan Le, Anh Do, Tram Vu, Steven Bogaerts, Brian Howard:
Emotion-Aware Music Recommendation. 16087-16095 - Yubo Wang, Fengzhou Pan, Danni Liu, Jiaxiong Hu:
Music-to-Facial Expressions: Emotion-Based Music Visualization for the Hearing Impaired. 16096-16102
EAAI Symposium: Model AI Assignment Abstracts
- Todd W. Neller, Raechel Walker, Olivia Dias, Zeynep Yalçin, Cynthia Breazeal, Matthew E. Taylor, Michele Donini, Erin J. Talvitie, Charlie Pilgrim, Paolo Turrini, James Maher, Matthew Boutell, Justin Wilson, Narges Norouzi, Jonathan Scott:
Model AI Assignments 2023. 16104-16105
AAAI Doctoral Consortium Track
- Jadie Adams:
Probabilistic Shape Models of Anatomy Directly from Images. 16107-16108 - James Ainooson:
Modeling Strategies as Programs: How to Study Strategy Differences in Intelligent Systems with Program Synthesis. 16109-16110 - Raja Farrukh Ali:
Non-exponential Reward Discounting in Reinforcement Learning. 16111-16112 - Lucia Cipolina-Kun:
Enhancing Smart, Sustainable Mobility with Game Theory and Multi-Agent Reinforcement Learning With Applications to Ridesharing. 16113-16114 - Kaleigh Clary:
Assessing Learned Representations under Open-World Novelty. 16115-16116 - Joseph A. Gallego-Mejia:
Efficient Non-parametric Neural Density Estimation and Its Application to Outlier and Anomaly Detection. 16117-16118 - Thao Le
Explaining the Uncertainty in AI-Assisted Decision Making. 16119-16120 - Yiming Li:
Poisoning-Based Backdoor Attacks in Computer Vision. 16121-16122 - Yiwei Lyu:
Safe Interactive Autonomy for Multi-Agent Systems. 16123-16124 - Joel Michelson:
Theory of Mind: A Familiar Aspect of Humanity to Give Machines. 16125-16126 - Catherine Ordun:
Multimodal Deep Generative Models for Remote Medical Applications. 16127-16128 - Andrea Pugnana
Topics in Selective Classification. 16129-16130 - Priyanka Ranade:
Knowledge-Embedded Narrative Construction from Open Source Intelligence. 16131-16132 - Saed Rezayi:
Learning Better Representations Using Auxiliary Knowledge. 16133-16134 - Esmaeil Seraj:
Embodied, Intelligent Communication for Multi-Agent Cooperation. 16135-16136 - Yuwei Sun:
Meta Learning in Decentralized Neural Networks: Towards More General AI. 16137-16138 - Lily Xu:
Learning and Planning under Uncertainty for Conservation Decisions. 16139-16140 - Hiromu Yakura:
Failure-Resistant Intelligent Interaction for Reliable Human-AI Collaboration. 16141-16142 - Huixin Zhan, Victor S. Sheng:
Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes. 16143-16144 - Xinlu Zhang:
Deep Learning for Medical Prediction in Electronic Health Records. 16145-16146
AAAI Student Abstract and Poster Program
- Dildar Ali, Ankit Kumar Bhagat, Suman Banerjee, Yamuna Prasad:
Efficient Algorithms for Regret Minimization in Billboard Advertisement (Student Abstract). 16148-16149 - Raja Farrukh Ali, Kevin Duong, Nasik Muhammad Nafi, William H. Hsu:
Multi-Horizon Learning in Procedurally-Generated Environments for Off-Policy Reinforcement Learning (Student Abstract). 16150-16151 - Maryam Alomair, Shimei Pan, Lujie Karen Chen:
Modeling Metacognitive and Cognitive Processes in Data Science Problem Solving (Student Abstract). 16152-16153 - Surakshya Aryal, Mikel K. Ngueajio
Hey, Siri! Why Are You Biased against Women? (Student Abstract). 16154-16155 - Hankyul Baek, Won Joon Yun, Joongheon Kim:
FV-Train: Quantum Convolutional Neural Network Training with a Finite Number of Qubits by Extracting Diverse Features (Student Abstract). 16156-16157 - Yangxiao Bai, Kaiqun Fu:
PanTop: Pandemic Topic Detection and Monitoring System (Student Abstract). 16158-16159 - Morgan E. Bailey
Social Intelligence towards Human-AI Teambuilding (Student Abstract). 16160-16161 - Fuat Can Beylunioglu, Mehrdad Pirnia, P. Robert Duimering, Vijay Ganesh:
Robust Training for AC-OPF (Student Abstract). 16162-16163 - Harshil Bhatia, Jaisidh Singh, Gaurav Sangwan
IdProv: Identity-Based Provenance for Synthetic Image Generation (Student Abstract). 16164-16165 - Charles Bourbeau, Audrey Durand:
Latent Space Evolution under Incremental Learning with Concept Drift (Student Abstract). 16166-16167 - Angelina Brilliantova, Ivona Bezáková:
Model Selection of Graph Signage Models Using Maximum Likelihood (Student Abstract). 16168-16169 - Francois Buet-Golfouse, Peter Hill
Optimal Execution via Multi-Objective Multi-Armed Bandits (Student Abstract). 16170-16171 - Yue Cao, Yanshuo Fan, Junchi Bin, Zheng Liu
Lightweight Transformer for Multi-Modal Object Detection (Student Abstract). 16172-16173 - Rachele Carli, Amro Najjar:
Reconsidering Deception in Social Robotics: The Role of Human Vulnerability (Student Abstract). 16174-16175 - Seán Caulfield Curley, Karl Mason, Patrick Mannion:
Know Your Enemy: Identifying Adversarial Behaviours in Deep Reinforcement Learning Agents (Student Abstract). 16176-16177 - Arkajyoti Chakraborty, Inder Khatri, Arjun Choudhry, Pankaj Gupta, Dinesh Kumar Vishwakarma, Mukesh Prasad:
An Emotion-Guided Approach to Domain Adaptive Fake News Detection Using Adversarial Learning (Student Abstract). 16178-16179 - Chao Chen, Dawei Wang, Feng Mao, Zongzhang Zhang, Yang Yu:
Deep Anomaly Detection and Search via Reinforcement Learning (Student Abstract). 16180-16181 - Feng Chen, Chenghe Wang, Fuxiang Zhang, Hao Ding, Qiaoyong Zhong, Shiliang Pu, Zongzhang Zhang:
Towards Deployment-Efficient and Collision-Free Multi-Agent Path Finding (Student Abstract). 16182-16183 - Hanxiao Chen:
SkateboardAI: The Coolest Video Action Recognition for Skateboarding (Student Abstract). 16184-16185 - Haoyang Chen
AsT: An Asymmetric-Sensitive Transformer for Osteonecrosis of the Femoral Head Detection (Student Abstract). 16186-16187 - Li Chen, Hua Xu, Ziteng Wang, Chengming Wang, Yu Jiang:
Self-Paced Learning Based Graph Convolutional Neural Network for Mixed Integer Programming (Student Abstract). 16188-16189 - Siyuan Cheng, Xiaozhuan Liang, Zhen Bi, Huajun Chen, Ningyu Zhang:
Multi-Modal Protein Knowledge Graph Construction and Applications (Student Abstract). 16190-16191 - Zhangtao Cheng, Xovee Xu, Ting Zhong, Fan Zhou, Goce Trajcevski:
CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract). 16192-16193 - Minjong Cheon:
SR-AnoGAN: You Never Detect Alone. Super Resolution in Anomaly Detection (Student Abstract). 16194-16195 - Arjun Choudhry, Pankaj Gupta, Inder Khatri, Aaryan Gupta, Maxime Nicol, Marie-Jean Meurs, Dinesh Kumar Vishwakarma:
Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora (Student Abstract). 16196-16197 - Zhuo Deng, Yibing Wei, Mingye Zhu, Xueliang Wang, Junchi Zhou, Zhicheng Yang, Hang Zhou, Zhenjie Cao, Lan Ma, Mei Han, Jui-Hsin Lai:
Disentangling the Benefits of Self-Supervised Learning to Deployment-Driven Downstream Tasks of Satellite Images (Student Abstract). 16198-16199 - Alex DiChristofano, Henry Shuster, Shefali Chandra, Neal Patwari:
Performance Disparities between Accents in Automatic Speech Recognition (Student Abstract). 16200-16201 - Jason Xiaotian Dou, Runxue Bao, Susan Song, Shuran Yang, Yanfu Zhang, Paul Pu Liang, Haiyi Harry Mao:
Demystify the Gravity Well in the Optimization Landscape (Student Abstract). 16202-16203 - Kevin Du, Ian Gemp, Yi Wu, Yingying Wu:
AlphaSnake: Policy Iteration on a Nondeterministic NP-Hard Markov Decision Process (Student Abstract). 16204-16205 - John Emerson, Yllias Chali:
Transformer-Based Multi-Hop Question Generation (Student Abstract). 16206-16207 - Muhammad Hasan Ferdous, Uzma Hasan, Md. Osman Gani:
eCDANs: Efficient Temporal Causal Discovery from Autocorrelated and Non-stationary Data (Student Abstract). 16208-16209 - Joseph A. Gallego-Mejia, Oscar A. Bustos-Brinez, Fabio A. González:
LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection (Student Abstract). 16210-16211 - Briti Gangopadhyay, Pallab Dasgupta, Soumyajit Dey:
Safety Aware Neural Pruning for Deep Reinforcement Learning (Student Abstract). 16212-16213 - Liyuan Gao, Huixin Zhan, Austin Chen, Victor S. Sheng:
Towards Fair and Selectively Privacy-Preserving Models Using Negative Multi-Task Learning (Student Abstract). 16214-16215 - Arnaud Gardille, Ola Ahmad:
Towards Safe Reinforcement Learning via OOD Dynamics Detection in Autonomous Driving System (Student Abstract). 16216-16217 - Sarthak Gupta, Patrik Huber:
Neural Implicit Surface Reconstruction from Noisy Camera Observations (Student Abstract). 16218-16219 - Fuguang Han, Zongzhang Zhang:
Expert Data Augmentation in Imitation Learning (Student Abstract). 16220-16221 - Ayaan Haque, Hankyu Moon, Heng Hao, Sima Didari, Jae Oh Woo, Patrick Bangert:
Unsupervised Contrastive Representation Learning for 3D Mesh Segmentation (Student Abstract). 16222-16223 - Taro Hatakeyama, Ryusuke Saito, Komei Hiruta, Atsushi Hashimoto, Satoshi Kurihara:
Invertible Conditional GAN Revisited: Photo-to-Manga Face Translation with Modern Architectures (Student Abstract). 16224-16225 - Yi He, Wenxin Tai, Fan Zhou, Yi Yang:
Exploring Hypergraph of Earnings Call for Risk Prediction (Student Abstract). 16226-16227 - Anthony Herron, Darsana P. Josyula:
An Analysis of the Deliberation and Task Performance of an Active Logic Based Agent (Student Abstract). 16228-16229 - Jinyu Hong, Fan Zhou, Qiang Gao, Ping Kuang, Kunpeng Zhang:
Mobility Prediction via Sequential Trajectory Disentanglement (Student Abstract). 16230-16231 - Li-Chun Huang, Nai-Zen Hseuh, Yen-Che Chien, Wei-Yao Wang, Kuang-Da Wang, Wen-Chih Peng:
A Reinforcement Learning Badminton Environment for Simulating Player Tactics (Student Abstract). 16232-16233 - Yanlong Huang, Wenxin Tai, Ting Zhong, Kunpeng Zhang:
Less Is More: Volatility Forecasting with Contrastive Representation Learning (Student Abstract). 16234-16235 - Yoichiro Iida
Understand Restart of SAT Solver Using Search Similarity Index (Student Abstract). 16236-16237 - Yuanzhe Jia, Weixuan Wu, Feiqi Cao, Soyeon Caren Han:
In-Game Toxic Language Detection: Shared Task and Attention Residuals (Student Abstract). 16238-16239 - Inder Khatri, Aaryan Gupta, Arjun Choudhry, Aryan Tyagi, Dinesh Kumar Vishwakarma, Mukesh Prasad:
CKS: A Community-Based K-shell Decomposition Approach Using Community Bridge Nodes for Influence Maximization (Student Abstract). 16240-16241 - Jeong-Hun Kim, Tserenpurev Chuluunsaikhan, Jong-Hyeok Choi, Aziz Nasridinov:
Incremental Density-Based Clustering with Grid Partitioning (Student Abstract). 16242-16243 - Tzu-Ya Lai, Wen Jung Cheng, Jun-En Ding:
Sequential Graph Attention Learning for Predicting Dynamic Stock Trends (Student Abstract). 16244-16245 - Anish Lakkapragada, Essam Sleiman, Saimourya Surabhi, Dennis P. Wall:
Mitigating Negative Transfer in Multi-Task Learning with Exponential Moving Average Loss Weighting Strategies (Student Abstract). 16246-16247 - Taejoon Lee, Hyunsu Mun, Youngseok Lee:
A Federated Learning Monitoring Tool for Self-Driving Car Simulation (Student Abstract). 16248-16249 - Jiyao Li, Wei Liu:
Summarization Attack via Paraphrasing (Student Abstract). 16250-16251 - Kevin Li, Rahul Duggal, Duen Horng Chau:
Evaluating Robustness of Vision Transformers on Imbalanced Datasets (Student Abstract). 16252-16253 - Lei Li, Xiang Chen, Shuofei Qiao, Feiyu Xiong, Huajun Chen, Ningyu Zhang:
On Analyzing the Role of Image for Visual-Enhanced Relation Extraction (Student Abstract). 16254-16255 - Xuting Li, Daifeng Li, Ruo Du, Dingquan Chen, Andrew D. Madden:
Double Policy Network for Aspect Sentiment Triplet Extraction (Student Abstract). 16256-16257 - Yi-Chen Li, Wen-Jie Shen, Boyu Zhang, Feng Mao, Zongzhang Zhang, Yang Yu:
Learning Generalizable Batch Active Learning Strategies via Deep Q-networks (Student Abstract). 16258-16259 - Yujie Li
Cross-Regional Fraud Detection via Continual Learning (Student Abstract). 16260-16261 - Hongfei Liu, Jiali Chen, Wenhao Fang, Jiayuan Xie, Yi Cai:
Category-Guided Visual Question Generation (Student Abstract). 16262-16263 - Minghao Liu
Can Graph Neural Networks Learn to Solve the MaxSAT Problem? (Student Abstract). 16264-16265 - Shengchao Liu, David Vázquez, Jian Tang, Pierre-André Noël:
Flaky Performances When Pretraining on Relational Databases (Student Abstract). 16266-16267 - Xiangrui Liu, Julian Cheng:
A Highly Efficient Marine Mammals Classifier Based on a Cross-Covariance Attended Compact Feed-Forward Sequential Memory Network (Student Abstract). 16268-16269 - Xuan Liu
MGIA: Mutual Gradient Inversion Attack in Multi-Modal Federated Learning (Student Abstract). 16270-16271 - Xiangkui Lu, Jun Wu:
Semi-supervised Review-Aware Rating Regression (Student Abstract). 16272-16273 - Aidan Lytle, Neil Pritchard, Alicia Aarnio, Thomas Weighill:
Toplogical Data Analysis Detects and Classifies Sunspots (Student Abstract). 16274-16275 - Yiwei Lyu, Wenhao Luo, John M. Dolan:
Risk-Aware Decentralized Safe Control via Dynamic Responsibility Allocation (Student Abstract). 16276-16277 - Xue Mao, Haoda Qian, Minjie Yuan, Qiudan Li:
A Mutually Enhanced Bidirectional Approach for Jointly Mining User Demand and Sentiment (Student Abstract). 16278-16279 - Yuzhou Mao, Liu Yu, Yi Yang, Fan Zhou, Ting Zhong:
Debiasing Intrinsic Bias and Application Bias Jointly via Invariant Risk Minimization (Student Abstract). 16280-16281 - George Maratos, Tiberiu Sosea, Cornelia Caragea:
Label Smoothing for Emotion Detection (Student Abstract). 16282-16283 - Hannah Miller:
Counting Knot Mosaics with ALLSAT (Student Abstract). 16284-16285 - Ankan Mullick:
Novel Intent Detection and Active Learning Based Classification (Student Abstract). 16286-16287 - Hamze Muse, Sahan Bulathwela, Emine Yilmaz:
Pre-training with Scientific Text Improves Educational Question Generation (Student Abstract). 16288-16289 - Mingze Ni, Zhensu Sun, Wei Liu:
Fraud's Bargain Attacks to Textual Classifiers via Metropolis-Hasting Sampling (Student Abstract). 16290-16291 - Anaelia Ovalle, Evan Czyzycki, Cho-Jui Hsieh:
Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning (Student Abstract). 16292-16293 - Esha Pahwa, Achleshwar Luthra, Pratik Narang:
LVRNet: Lightweight Image Restoration for Aerial Images under Low Visibility (Student Abstract). 16294-16295 - Artur Pak, Sultan Nurmukhamedov, Rustem Takhanov, Zhenisbek Assylbekov:
Hardness of Learning AES Key (Student Abstract). 16296-16297 - Arnab Poddar, Abhishek Kumar Sah, Soumyadeep Dey, Pratik Jawanpuria, Jayanta Mukhopadhyay, Prabir Kumar Biswas:
Generative Pipeline for Data Augmentation of Unconstrained Document Images with Structural and Textural Degradation (Student Abstract). 16298-16299 - Dipannita Podder, Jiaul H. Paik, Pabitra Mitra:
Neural Language Model Based Attentive Term Dependence Model for Verbose Query (Student Abstract). 16300-16301 - Aniruddha Pokhrel, Nikesh Subedi, Saurav Keshari Aryal:
Evaluating Factors Influencing COVID-19 Outcomes across Countries Using Decision Trees (Student Abstract). 16302-16303 - Prakruthi Pradeep, Benedikt Boecking, Nicholas Gisolfi, Jacob R. Kintz
Ordinal Programmatic Weak Supervision and Crowdsourcing for Estimating Cognitive States (Student Abstract). 16304-16305 - Tangjiang Qian, Xovee Xu, Zhe Xiao, Ting Zhong, Fan Zhou:
A Probabilistic Graph Diffusion Model for Source Localization (Student Abstract). 16306-16307 - Daking Rai, Yilun Zhou, Bailin Wang, Ziyu Yao:
Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract). 16308-16309 - Carlos Ramos-Carreño:
Fuzzy C-means: Differences on Clustering Behavior between High Dimensional and Functional Data (Student Abstract). 16310-16311 - Jacob Rubinstein, Cynthia Matuszek, Don Engel
Photogrammetry and VR for Comparing 2D and Immersive Linguistic Data Collection (Student Abstract). 16312-16313 - Sourajit Saha, Shaswati Saha, Md. Osman Gani, Tim Oates, David Chapman:
RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget (Student Abstract). 16314-16315 - Simon Schierreich
Maximizing Influence Spread through a Dynamic Social Network (Student Abstract). 16316-16317 - Saptarshi Sengupta, Shreya Ghosh, Preslav Nakov, Prasenjit Mitra:
Can You Answer This? - Exploring Zero-Shot QA Generalization Capabilities in Large Language Models (Student Abstract). 16318-16319 - Gautam Kishore Shahi:
FakeKG: A Knowledge Graph of Fake Claims for Improving Automated Fact-Checking (Student Abstract). 16320-16321 - Vanshali Sharma, Manas Kamal Bhuyan, Pradip K. Das:
Can Adversarial Networks Make Uninformative Colonoscopy Video Frames Clinically Informative? (Student Abstract). 16322-16323 - Nazia Sharmin:
Bayesian Models for Targeted Cyber Deception Strategies (Student Abstract). 16324-16325 - Takumu Shimizu, Ryota Higa, Toki Takahashi, Katsuhide Fujita, Shinji Nakadai:
Scalable Negotiating Agent Strategy via Multi-Issue Policy Network (Student Abstract). 16326-16327 - Cristian Simionescu, George Stoica:
Efficient Dynamic Batch Adaptation (Student Abstract). 16328-16329 - Ephraim Sinyabe Pagou, Vivient Corneille Kamla, Igor Tchappi, Amro Najjar:
Development of a Human-Agent Interaction System including Norm and Emotion in an Evacuation Situation (Student Abstract). 16330-16331 - Joshua Slater, Thomas Weighill:
Persistent Homology through Image Segmentation (Student Abstract). 16332-16333 - Razvan-Alexandru Smadu, George-Eduard Zaharia, Andrei-Marius Avram, Dumitru-Clementin Cercel, Mihai Dascalu, Florin Pop:
TA-DA: Topic-Aware Domain Adaptation for Scientific Keyphrase Identification and Classification (Student Abstract). 16334-16335 - Sudarshan Sreeram
Exploring the Relative Value of Collaborative Optimisation Pathways (Student Abstract). 16336-16337 - George Stoica, Cristian Simionescu:
Backforward Propagation (Student Abstract). 16338-16339 - Saurabh Suman, Nilay Naharas, Badri Narayan Subudhi, Vinit Jakhetiya:
Two-Streams: Dark and Light Networks with Graph Convolution for Action Recognition from Dark Videos (Student Abstract). 16340-16341 - Yifei Sun, Cheng Song, Feng Lu, Wei Li, Hai Jin, Albert Y. Zomaya:
ES-Mask: Evolutionary Strip Mask for Explaining Time Series Prediction (Student Abstract). 16342-16343 - Hoa Ta, Shi Wen Wong, Nathan McClanahan, Jung-Han Kimn, Kaiqun Fu:
Exploration on Physics-Informed Neural Networks on Partial Differential Equations (Student Abstract). 16344-16345 - Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder
Parallel Index-Based Search Algorithm for Coalition Structure Generation (Student Abstract). 16346-16347 - Leonard Tang, Alexander Cai, Jason Wang:
The Naughtyformer: A Transformer Understands and Moderates Adult Humor (Student Abstract). 16348-16349 - Snehal Singh Tomar, Maitreya Suin, A. N. Rajagopalan:
Exploring the Effectiveness of Mask-Guided Feature Modulation as a Mechanism for Localized Style Editing of Real Images (Student Abstract). 16350-16351 - Bhavan K. Vasu, Prasad Tadepalli:
Global Explanations for Image Classifiers (Student Abstract). 16352-16353 - Preetika Verma, Hansin Ahuja, Kokil Jaidka:
Quantify the Political Bias in News Edits: Experiments with Few-Shot Learners (Student Abstract). 16354-16355 - Aoran Wang, Hongyang Yang, Feng Mao, Zongzhang Zhang, Yang Yu, Xiaoyang Liu:
Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract). 16356-16357 - Zhiyuan Wang, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Ting Zhong:
Learning Dynamic Temporal Relations with Continuous Graph for Multivariate Time Series Forecasting (Student Abstract). 16358-16359 - Bo Wu, Xun Liang, Xiangping Zheng, Jun Wang:
Enhancing Dynamic GCN for Node Attribute Forecasting with Meta Spatial-Temporal Learning (Student Abstract). 16360-16361 - Wenli Xiao, Yiwei Lyu, John M. Dolan:
Tackling Safe and Efficient Multi-Agent Reinforcement Learning via Dynamic Shielding (Student Abstract). 16362-16363 - Shugui Xie, Lin Li, Jingling Yuan, Qing Xie, Xiaohui Tao:
Long Legal Article Question Answering via Cascaded Key Segment Learning (Student Abstract). 16364-16365 - Huinan Xu, Jinhui Pang, Shuangyong Song, Bo Zou:
Improving Dialogue Intent Classification with a Knowledge-Enhanced Multifactor Graph Model (Student Abstract). 16366-16367 - Qiancheng Xu, Min Yang, Binzong Geng:
Class Incremental Learning for Task-Oriented Dialogue System with Contrastive Distillation on Internal Representations (Student Abstract). 16368-16369 - Ruoyu Xu
ACCD: An Adaptive Clustering-Based Collusion Detector in Crowdsourcing (Student Abstract). 16370-16371 - Zhenyu Xu, Victor S. Sheng, Keyi Lu:
Logic Error Localization and Correction with Machine Learning (Student Abstract). 16372-16373 - Hemant Yadav, Rajiv Ratn Shah:
Mask-Net: Learning Context Aware Invariant Features Using Adversarial Forgetting (Student Abstract). 16374-16375 - Huigen Ye, Hongyan Wang, Hua Xu, Chengming Wang, Yu Jiang:
Adaptive Constraint Partition Based Optimization Framework for Large-Scale Integer Linear Programming (Student Abstract). 16376-16377 - Xue Yu, Ziyi Liu, Yifan Sun, Wu Wang:
Clustered Federated Learning for Heterogeneous Data (Student Abstract). 16378-16379 - Huixin Zhan, Kun Zhang, Keyi Lu, Victor S. Sheng:
Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract). 16380-16381 - Weifeng Zhang, Zhiyuan Wang, Kunpeng Zhang, Ting Zhong, Fan Zhou:
DyCVAE: Learning Dynamic Causal Factors for Non-stationary Series Domain Generalization (Student Abstract). 16382-16383 - Xianfeng Zhang, Yanhui Gu, Guandong Xu, Yafei Li, Jinlan Wang, Zhenglu Yang:
HaPPy: Harnessing the Wisdom from Multi-Perspective Graphs for Protein-Ligand Binding Affinity Prediction (Student Abstract). 16384-16385 - Zhiwei Zhen, Yuzhou Chen, Murat Kantarcioglu, Yulia R. Gel:
Graph of Graphs: A New Knowledge Representation Mechanism for Graph Learning (Student Abstract). 16386-16387 - Xiangping Zheng, Xun Liang, Bo Wu:
Exploiting High-Order Interaction Relations to Explore User Intent (Student Abstract). 16388-16389 - Jie Zhou
Feature Decomposition for Reducing Negative Transfer: A Novel Multi-Task Learning Method for Recommender System (Student Abstract). 16390-16391 - Renzhe Zhou, Zongzhang Zhang, Yang Yu:
Model-Based Offline Weighted Policy Optimization (Student Abstract). 16392-16393
Demonstrations
- Firoj Alam, Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Abdul Rafae Khan, Jia Xu:
ConceptX: A Framework for Latent Concept Analysis. 16395-16397 - Réda Alami, Hakim Hacid, Lorenzo Bellone, Michal Barcis, Enrico Natalizio:
SOREO: A System for Safe and Autonomous Drones Fleet Navigation with Reinforcement Learning. 16398-16400 - Berker Banar, Nick Bryan-Kinns, Simon Colton:
A Tool for Generating Controllable Variations of Musical Themes Using Variational Autoencoders with Latent Space Regularisation. 16401-16403 - Mark Alexander Burgess, Charles Gretton
Dagster: Parallel Structured Search. 16404-16406 - Timothy A. Burt
AI-SNIPS: A Platform for Network Intelligence-Based Pharmaceutical Security. 16407-16409 - Mirela T. Cazzolato, Saranya Vijayakumar, Xinyi Zheng, Namyong Park, Meng-Chieh Lee, Duen Horng Chau, Pedro Fidalgo, Bruno Lages, Agma J. M. Traina, Christos Faloutsos:
TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs. 16410-16412 - Hyungjoo Chae, Minjin Kim, Chaehyeong Kim, Wonseok Jeong, Hyejoong Kim, Junmyung Lee, Jinyoung Yeo:
TUTORING: Instruction-Grounded Conversational Agent for Language Learners. 16413-16415 - Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Huamin Qu, Christopher Ré, Matei Zaharia, James Zou:
HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs. 16416-16418 - Mengli Cheng, Yue Gao, Guoqiang Liu, Hongsheng Jin:
EasyRec: An Easy-to-Use, Extendable and Efficient Framework for Building Industrial Recommendation Systems. 16419-16421 - Roberto Daza, Aythami Morales, Ruben Tolosana, Luis F. Gomez, Julian Fiérrez, Javier Ortega-Garcia:
edBB-Demo: Biometrics and Behavior Analysis for Online Educational Platforms. 16422-16424 - Tonmoay Deb, Jürgen Dix, Mingi Jeong, Cristian Molinaro, Andrea Pugliese, Alberto Quattrini Li, Eugene Santos Jr., V. S. Subrahmanian, Shanchieh Yang, Youzhi Zhang:
DUCK: A Drone-Urban Cyber-Defense Framework Based on Pareto-Optimal Deontic Logic Agents. 16425-16427 - Francesco Fuggitti
NL2LTL - a Python Package for Converting Natural Language (NL) Instructions to Linear Temporal Logic (LTL) Formulas. 16428-16430 - Pierpaolo Goffredo, Elena Cabrio, Serena Villata, Shohreh Haddadan, Jhonatan Torres Sanchez:
DISPUTool 2.0: A Modular Architecture for Multi-Layer Argumentative Analysis of Political Debates. 16431-16433 - Sujatha Das Gollapalli, Mingzhe Du, See-Kiong Ng:
Generating Reflective Questions for Engaging Gallery Visitors in ArtMuse. 16434-16436 - Michael Guevarra, Srijita Das, Christabel Wayllace, Carrie Demmans Epp, Matthew E. Taylor, Alan Tay:
Augmenting Flight Training with AI to Efficiently Train Pilots. 16437-16439 - Tias Guns
Sudoku Assistant - an AI-Powered App to Help Solve Pen-and-Paper Sudokus. 16440-16442 - Han He, Song Feng, Daniele Bonadiman, Yi Zhang, Saab Mansour:
DFEE: Interactive DataFlow Execution and Evaluation Kit. 16443-16445 - Lei Hsiung
NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration. 16446-16448 - Ayumi Igarashi, Tomohiko Yokoyama:
Kajibuntan: A House Chore Division App. 16449-16451 - Mingi Jeong, Alberto Quattrini Li:
MARCOL: A Maritime Collision Avoidance Decision-Making Testbed. 16452-16454 - Di Jia, Qian Wang
FC-TrackNet: Fast Convergence Net for 6D Pose Tracking in Synthetic Domains. 16455-16457 - Huisheng Mao, Baozheng Zhang, Hua Xu, Ziqi Yuan
Robust-MSA: Understanding the Impact of Modality Noise on Multimodal Sentiment Analysis. 16458-16460 - J. Scott McCarley, Mihaela Bornea, Sara Rosenthal, Anthony Ferritto, Md. Arafat Sultan, Avirup Sil, Radu Florian:
GAAMA 2.0: An Integrated System That Answers Boolean and Extractive Questions. 16461-16463 - Anaïs Ollagnier, Elena Cabrio, Serena Villata, Sara Tonelli:
BiRDy: Bullying Role Detection in Multi-Party Chats. 16464-16466 - Dhaval Patel, Shuxin Lin, Dhruv Shah, Srideepika Jayaraman, Joern Ploennigs, Anuradha Bhamidipati, Jayant Kalagnanam:
AI Model Factory: Scaling AI for Industry 4.0 Applications. 16467-16469 - Yotam Perlitz, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer:
nBIIG: A Neural BI Insights Generation System for Table Reporting. 16470-16472 - Víctor Ramos-González, Joaquín Borrego-Díaz, Fernando Sancho-Caparrini:
Prototyping Logic-Based AI Services with LogicUS. 16473-16475 - Gaetano Rossiello, Md. Faisal Mahbub Chowdhury, Nandana Mihindukulasooriya, Owen Cornec, Alfio Massimiliano Gliozzo:
KnowGL: Knowledge Generation and Linking from Text. 16476-16478 - Kaushik Roy, Vedant Khandelwal, Raxit Goswami, Nathan Dolbir, Jinendra Malekar, Amit P. Sheth
Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case. 16479-16481 - Procheta Sen, Xi Wang
Task2KB: A Public Task-Oriented Knowledge Base. 16482-16484 - Chih-Kai Ting, Karl Munson, Serenity Wade, Anish Savla, Kiran Kate, Kavitha Srinivas:
CodeStylist: A System for Performing Code Style Transfer Using Neural Networks. 16485-16487 - Patara Trirat
AnoViz: A Visual Inspection Tool of Anomalies in Multivariate Time Series. 16488-16490 - Ruwan Wickramarachchi, Cory A. Henson, Amit P. Sheth:
CLUE-AD: A Context-Based Method for Labeling Unobserved Entities in Autonomous Driving Data. 16491-16493 - Shengzhou Yi, Junichiro Matsugami, Hiroshi Yumoto, Toshihiko Yamasaki:
An Online Presentation Slide Assessment System Using Visual and Semantic Segmentation Features. 16494-16496
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