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32nd IJCAI 2023: Macao, SAR, China
- Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023, 19th-25th August 2023, Macao, SAR, China. ijcai.org 2023, ISBN 978-1-956792-03-4
Main Track
Agent-based and Multi-agent Systems
- Abdullah Al Maruf, Luyao Niu, Bhaskar Ramasubramanian, Andrew Clark, Radha Poovendran:
Learning Dissemination Strategies for External Sources in Opinion Dynamic Models with Cognitive Biases. 3-11 - Anupama Arukgoda, Erandi Lakshika, Michael Barlow, Kasun Gunawardana:
Artificial Agents Inspired by Human Motivation Psychology for Teamwork in Hazardous Environments. 12-19 - Siddhartha Banerjee, Vasilis Gkatzelis, Safwan Hossain, Billy Jin, Evi Micha, Nisarg Shah:
Proportionally Fair Online Allocation of Public Goods with Predictions. 20-28 - Luca Becchetti
, Andrea Clementi, Amos Korman, Francesco Pasquale, Luca Trevisan, Robin Vacus:
On the Role of Memory in Robust Opinion Dynamics. 29-37 - Luca Becchetti
On a Voter Model with Context-Dependent Opinion Adoption. 38-45 - Francesco Belardinelli, Angelo Ferrando, Wojciech Jamroga, Vadim Malvone, Aniello Murano:
Scalable Verification of Strategy Logic through Three-Valued Abstraction. 46-54 - Kayla Boggess, Sarit Kraus, Lu Feng:
Explainable Multi-Agent Reinforcement Learning for Temporal Queries. 55-63 - Da Qi Chen, Ann Li, George Z. Li, Madhav V. Marathe, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti:
Efficient and Equitable Deployment of Mobile Vaccine Distribution Centers. 64-72 - Alex Cloud, Albert Wang, Wesley Kerr:
Anticipatory Fictitious Play. 73-81 - Aleksander Czechowski, Frans A. Oliehoek:
Safe Multi-agent Learning via Trapping Regions. 82-90 - Michael Dann
Multi-Agent Intention Recognition and Progression. 91-99 - Chengming Feng, Jing Hu, Xin Wang, Shu Hu
Controlling Neural Style Transfer with Deep Reinforcement Learning. 100-108 - Thiago Freitas dos Santos, Stephen Cranefield, Bastin Tony Roy Savarimuthu, Nardine Osman
Cross-community Adapter Learning (CAL) to Understand the Evolving Meanings of Norm Violation. 109-117 - Yuma Fujimoto, Kaito Ariu, Kenshi Abe:
Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium. 118-125 - Xudong Guo, Daming Shi, Wenhui Fan:
Scalable Communication for Multi-Agent Reinforcement Learning via Transformer-Based Email Mechanism. 126-134 - Aamal Abbas Hussain, Francesco Belardinelli, Georgios Piliouras:
Beyond Strict Competition: Approximate Convergence of Multi-agent Q-Learning Dynamics. 135-143 - David Hyland, Julian Gutierrez, Michael J. Wooldridge:
Principal-Agent Boolean Games. 144-152 - Waldy Joe, Hoong Chuin Lau
Learning to Send Reinforcements: Coordinating Multi-Agent Dynamic Police Patrol Dispatching and Rescheduling via Reinforcement Learning. 153-161 - Kiarash Kazari, Ezzeldin Shereen, György Dán:
Decentralized Anomaly Detection in Cooperative Multi-Agent Reinforcement Learning. 162-170 - David Klaska, Antonín Kucera
Synthesizing Resilient Strategies for Infinite-Horizon Objectives in Multi-Agent Systems. 171-179 - Pascal Kunz, Hendrik Molter, Meirav Zehavi:
In Which Graph Structures Can We Efficiently Find Temporally Disjoint Paths and Walks? 180-188 - Lening Li, Hazhar Rahmani, Jie Fu:
Probabilistic Planning with Prioritized Preferences over Temporal Logic Objectives. 189-198 - Yilin Liu, Guiyang Luo, Quan Yuan, Jinglin Li, Lei Jin, Bo Chen, Rui Pan:
GPLight: Grouped Multi-agent Reinforcement Learning for Large-scale Traffic Signal Control. 199-207 - Zeyang Liu, Lipeng Wan, Xue Sui, Zhuoran Chen, Kewu Sun, Xuguang Lan:
Deep Hierarchical Communication Graph in Multi-Agent Reinforcement Learning. 208-216 - Luca Marzari, Davide Corsi, Ferdinando Cicalese, Alessandro Farinelli
The #DNN-Verification Problem: Counting Unsafe Inputs for Deep Neural Networks. 217-224 - Munyque Mittelmann
Discounting in Strategy Logic. 225-233 - Ahad N. Zehmakan
Why Rumors Spread Fast in Social Networks, and How to Stop It. 234-242 - Keisuke Okumura:
Improving LaCAM for Scalable Eventually Optimal Multi-Agent Pathfinding. 243-251 - Keisuke Okumura, Xavier Défago:
Quick Multi-Robot Motion Planning by Combining Sampling and Search. 252-261 - Ben Rachmut, Sofia Amador Nelke, Roie Zivan:
Asynchronous Communication Aware Multi-Agent Task Allocation. 262-270 - David Radke, Kate Larson, Tim Brecht, Kyle Tilbury:
Towards a Better Understanding of Learning with Multiagent Teams. 271-279 - Senthil Rajasekaran, Suguman Bansal, Moshe Y. Vardi:
Multi-Agent Systems with Quantitative Satisficing Goals. 280-288 - Amika M. Singh, Munindar P. Singh
Norm Deviation in Multiagent Systems: A Foundation for Responsible Autonomy. 289-297 - Zijian Song, Huikun Bi, Ruisi Zhang, Tianlu Mao, Zhaoqi Wang:
CVTP3D: Cross-view Trajectory Prediction Using Shared 3D Queries for Autonomous Driving. 298-308 - Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder, Tuomas Sandholm:
Optimal Anytime Coalition Structure Generation Utilizing Compact Solution Space Representation. 309-316 - Elizaveta Tennant, Stephen Hailes, Mirco Musolesi:
Modeling Moral Choices in Social Dilemmas with Multi-Agent Reinforcement Learning. 317-325 - Pei Xu
Exploration via Joint Policy Diversity for Sparse-Reward Multi-Agent Tasks. 326-334 - Yinfeng Yu, Changan Chen, Lele Cao
Measuring Acoustics with Collaborative Multiple Agents. 335-343 - Yunpeng Zhai, Peixi Peng, Chen Su, Yonghong Tian:
Dynamic Belief for Decentralized Multi-Agent Cooperative Learning. 344-352 - Bin Zhang, Lijuan Li, Zhiwei Xu
Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement Learning. 353-361
AI Ethics, Trust, Fairness
- Sander Beckers
Quantifying Harm. 363-371 - Filip Cano Córdoba
Analyzing Intentional Behavior in Autonomous Agents under Uncertainty. 372-381 - Edmund Dervakos, Konstantinos Thomas, Giorgos Filandrianos, Giorgos Stamou:
Choose your Data Wisely: A Framework for Semantic Counterfactuals. 382-390 - Sharmila Duppala, Juan Luque, John P. Dickerson, Aravind Srinivasan:
Group Fairness in Set Packing Problems. 391-399 - Andrew Estornell, Yatong Chen, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik:
Incentivizing Recourse through Auditing in Strategic Classification. 400-408 - Sruthi Gorantla, Amit Deshpande, Anand Louis:
Sampling Ex-Post Group-Fair Rankings. 409-417 - Umberto Grandi, Emiliano Lorini, Timothy Parker:
Moral Planning Agents with LTL Values. 418-426 - Eoin M. Kenny, Eoin Delaney, Mark T. Keane:
Advancing Post-Hoc Case-Based Explanation with Feature Highlighting. 427-435 - Tianlin Li, Zhiming Li, Anran Li, Mengnan Du, Aishan Liu, Qing Guo, Guozhu Meng, Yang Liu:
Fairness via Group Contribution Matching. 436-445 - Xin Li, Deng Pan, Chengyin Li, Yao Qiang, Dongxiao Zhu:
Negative Flux Aggregation to Estimate Feature Attributions. 446-454 - Yike Li, Yunzhe Tian, Endong Tong, Wenjia Niu, Jiqiang Liu:
Robust Reinforcement Learning via Progressive Task Sequence. 455-463 - Chi Liu
Towards Robust Gan-Generated Image Detection: A Multi-View Completion Representation. 464-472 - Saaduddin Mahmud, Sandhya Saisubramanian, Shlomo Zilberstein:
Explanation-Guided Reward Alignment. 473-482 - Md Asifur Rahman
Adversarial Behavior Exclusion for Safe Reinforcement Learning. 483-491 - Shubham Sharma, Jette Henderson, Joydeep Ghosh:
FEAMOE: Fair, Explainable and Adaptive Mixture of Experts. 492-500 - Cuong Tran, Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck:
SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles. 501-509 - Cuong Tran, Ferdinando Fioretto:
On the Fairness Impacts of Private Ensembles Models. 510-518 - Kaiwen Xu, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma:
Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs. 519-526 - Huimin Zeng, Zhenrui Yue, Lanyu Shang, Yang Zhang, Dong Wang:
On Adversarial Robustness of Demographic Fairness in Face Attribute Recognition. 527-535 - Jianping Zhang, Yung-Chieh Huang, Weibin Wu, Michael R. Lyu:
Towards Semantics- and Domain-Aware Adversarial Attacks. 536-544
Computer Vision
- Chamath Abeysinghe, Chris Reid
Tracking Different Ant Species: An Unsupervised Domain Adaptation Framework and a Dataset for Multi-object Tracking. 546-554 - Yang Bai
RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search. 555-563 - Jiahao Chao, Zhou Zhou, Hongfan Gao, Jiali Gong, Zhenbing Zeng, Zhengfeng Yang:
A Novel Learnable Interpolation Approach for Scale-Arbitrary Image Super-Resolution. 564-572 - Changjie Chen
MMPN: Multi-supervised Mask Protection Network for Pansharpening. 573-580 - Han-Yuan Chen, Jun-Yan He, Wangmeng Xiang, Zhi-Qi Cheng, Wei Liu, Hanbing Liu, Bin Luo, Yifeng Geng, Xuansong Xie:
HDFormer: High-order Directed Transformer for 3D Human Pose Estimation. 581-589 - Tianxiang Chen, Qi Chu, Bin Liu, Nenghai Yu:
Fluid Dynamics-Inspired Network for Infrared Small Target Detection. 590-598 - Weitao Chen, Hongbin Xu, Zhipeng Zhou, Yang Liu, Baigui Sun, Wenxiong Kang, Xuansong Xie:
CostFormer: Cost Transformer for Cost Aggregation in Multi-view Stereo. 599-608 - Yinda Chen, Wei Huang, Shenglong Zhou, Qi Chen, Zhiwei Xiong:
Self-Supervised Neuron Segmentation with Multi-Agent Reinforcement Learning. 609-617 - Xinhua Cheng, Nan Zhang, Jiwen Yu, Yinhuai Wang, Ge Li, Jian Zhang:
Null-Space Diffusion Sampling for Zero-Shot Point Cloud Completion. 618-626 - Yi Cheng, Haochao Ying, Renjun Hu, Jinhong Wang, Wenhao Zheng, Xiao Zhang, Danny Z. Chen, Jian Wu:
Robust Image Ordinal Regression with Controllable Image Generation. 627-635 - Zesen Cheng, Peng Jin, Hao Li, Kehan Li, Siheng Li, Xiangyang Ji, Chang Liu, Jie Chen:
WiCo: Win-win Cooperation of Bottom-up and Top-down Referring Image Segmentation. 636-644 - Yuning Cui, Yi Tao, Luoxi Jing, Alois Knoll:
Strip Attention for Image Restoration. 645-653 - Xiaolei Diao, Daqian Shi, Hao Tang, Qiang Shen, Yanzeng Li, Lei Wu, Hao Xu:
RZCR: Zero-shot Character Recognition via Radical-based Reasoning. 654-662 - Chuanghao Ding, Jianrong Zhang, Henghui Ding
Decoupling with Entropy-based Equalization for Semi-Supervised Semantic Segmentation. 663-671 - Chenghao Dong, Xuejing Kang, Anlong Ming:
ICDA: Illumination-Coupled Domain Adaptation Framework for Unsupervised Nighttime Semantic Segmentation. 672-680 - Shuting Dong, Feng Lu, Zhe Wu, Chun Yuan:
DFVSR: Directional Frequency Video Super-Resolution via Asymmetric and Enhancement Alignment Network. 681-689 - Dazhao Du, Enhan Li, Lingyu Si, Fanjiang Xu, Fuchun Sun:
Timestamp-Supervised Action Segmentation from the Perspective of Clustering. 690-698 - Zhongjing Du, Xu Jiang, Peng Wang, Qizheng Zhou, Xi Wu, Jiliu Zhou, Yan Wang:
LION: Label Disambiguation for Semi-supervised Facial Expression Recognition with Progressive Negative Learning. 699-707 - Jinhao Duan, Quanfu Fan, Hao Cheng, Xiaoshuang Shi, Kaidi Xu:
Improve Video Representation with Temporal Adversarial Augmentation. 708-716 - Ke Fan, Changan Wang, Yabiao Wang, Chengjie Wang, Ran Yi, Lizhuang Ma:
RFENet: Towards Reciprocal Feature Evolution for Glass Segmentation. 717-725 - Zhaoxin Fan, Yulin He, Zhicheng Wang, Kejian Wu, Hongyan Liu, Jun He:
Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion. 726-735 - Xianyong Fang, Yuqing Shi, Qingqing Guo, Linbo Wang
Sub-Band Based Attention for Robust Polyp Segmentation. 736-744 - Zhengcong Fei, Junshi Huang:
Incorporating Unlikely Negative Cues for Distinctive Image Captioning. 745-753 - Rao Fu, Cheng Wen, Qian Li, Xiao Xiao, Pierre Alliez:
BPNet: Bézier Primitive Segmentation on 3D Point Clouds. 754-762 - Shiwei Gan, Yafeng Yin, Zhiwei Jiang, Kang Xia, Lei Xie, Sanglu Lu:
Contrastive Learning for Sign Language Recognition and Translation. 763-772 - Bhavna Gopal, Arjun Sridhar, Tunhou Zhang, Yiran Chen:
LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture Search. 773-781 - Hang Guo
Towards Robust Scene Text Image Super-resolution via Explicit Location Enhancement. 782-790 - Ziyu Guo, Renrui Zhang, Longtian Qiu, Xianzhi Li, Pheng-Ann Heng:
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training. 791-799 - Young-Joo Han, Ha-Jin Yu:
SS-BSN: Attentive Blind-Spot Network for Self-Supervised Denoising with Nonlocal Self-Similarity. 800-809 - Jun-Yan He, Zhi-Qi Cheng, Chenyang Li, Wangmeng Xiang, Binghui Chen, Bin Luo, Yifeng Geng, Xuansong Xie:
DAMO-StreamNet: Optimizing Streaming Perception in Autonomous Driving. 810-818 - Qichen He, Siying Xiao, Mao Ye, Xiatian Zhu, Ferrante Neri, Dongde Hou:
Independent Feature Decomposition and Instance Alignment for Unsupervised Domain Adaptation. 819-827 - Chuanyang Hu, Shipeng Yan, Zhitong Gao, Xuming He:
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels. 828-836 - Xin Hu, Lingling Zhang, Jun Liu, Xinyu Zhang, Wenjun Wu, Qianying Wang:
Diagram Visual Grounding: Learning to See with Gestalt-Perceptual Attention. 837-845 - Zhenzhen Hu, Zhenshan Wang, Zijie Song
Dual Video Summarization: From Frames to Captions. 846-854 - Yilei Hua, Wenhan Wu, Ce Zheng, Aidong Lu, Mengyuan Liu, Chen Chen, Shiqian Wu:
Part Aware Contrastive Learning for Self-Supervised Action Recognition. 855-863 - Huayang Huang, Qian Wang, Xueluan Gong, Tao Wang:
Orion: Online Backdoor Sample Detection via Evolution Deviance. 864-874 - Shaofei Huang, Han Li, Yuqing Wang, Hongji Zhu, Jiao Dai, Jizhong Han, Wenge Rong, Si Liu:
Discovering Sounding Objects by Audio Queries for Audio Visual Segmentation. 875-883 - Xinyang Huang, Chuang Zhu, Wenkai Chen:
Semi-supervised Domain Adaptation via Prototype-based Multi-level Learning. 884-892 - Tianrui Hui, Zihan Ding, Junshi Huang, Xiaoming Wei, Xiaolin Wei, Jiao Dai, Jizhong Han, Si Liu:
Enriching Phrases with Coupled Pixel and Object Contexts for Panoptic Narrative Grounding. 893-901 - Chaofan Huo, Ye Shi, Yuexin Ma, Lan Xu, Jingyi Yu, Jingya Wang:
StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing Flow with Offset. 902-910 - Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, Youngjoon Yoo:
GeNAS: Neural Architecture Search with Better Generalization. 911-919 - Deyi Ji, Feng Zhao, Hongtao Lu:
Guided Patch-Grouping Wavelet Transformer with Spatial Congruence for Ultra-High Resolution Segmentation. 920-928 - Xiangze Jia, Hui Zhou, Xinge Zhu, Yandong Guo, Ji Zhang, Yuexin Ma:
ContrastMotion: Self-supervised Scene Motion Learning for Large-Scale LiDAR Point Clouds. 929-937 - Peng Jin, Hao Li, Zesen Cheng, Jinfa Huang, Zhennan Wang, Li Yuan, Chang Liu, Jie Chen:
Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment. 938-946 - Jingyi Ju, Buzhen Huang, Chen Zhu, Zhihao Li, Yangang Wang:
Physics-Guided Human Motion Capture with Pose Probability Modeling. 947-955 - Kumara Kahatapitiya, Michael S. Ryoo:
SWAT: Spatial Structure Within and Among Tokens. 956-964 - Hannah Kim, Celia Cintas
Spatially Constrained Adversarial Attack Detection and Localization in the Representation Space of Optical Flow Networks. 965-973 - Jeongho Kim, Hanbeen Lee, Simon S. Woo:
IMF: Integrating Matched Features Using Attentive Logit in Knowledge Distillation. 974-982 - Ziyi Kou, Shichao Pei, Yijun Tian, Xiangliang Zhang:
Character As Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models. 983-990 - Jinxiang Lai, Siqian Yang, Junhong Zhou, Wenlong Wu, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Chengjie Wang:
Clustered-patch Element Connection for Few-shot Learning. 991-998 - Shenqi Lai, Xi Du
RaMLP: Vision MLP via Region-aware Mixing. 999-1007 - Pengcheng Lei, Faming Fang, Guixu Zhang, Ming Xu:
Deep Unfolding Convolutional Dictionary Model for Multi-Contrast MRI Super-resolution and Reconstruction. 1008-1016 - Tao Lei, Rui Sun, Xuan Wang, Yingbo Wang, Xi He, Asoke K. Nandi:
CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image Segmentation. 1017-1025 - Chunxiao Li, Xuejing Kang, Anlong Ming:
WBFlow: Few-shot White Balance for sRGB Images via Reversible Neural Flows. 1026-1034 - Guanxin Li, Jingang Shi, Yuan Zong, Fei Wang, Tian Wang, Yihong Gong:
Learning Attention from Attention: Efficient Self-Refinement Transformer for Face Super-Resolution. 1035-1043 - Hao Li, Peng Jin, Zesen Cheng, Songyang Zhang, Kai Chen, Zhennan Wang, Chang Liu, Jie Chen:
TG-VQA: Ternary Game of Video Question Answering. 1044-1052 - Haoming Li, Xinzhuo Lin, Yang Zhou, Xiang Li, Yuchi Huo, Jiming Chen, Qi Ye:
Contact2Grasp: 3D Grasp Synthesis via Hand-Object Contact Constraint. 1053-1061 - Ling Li, Dong Liang, Yuanhang Gao, Sheng-Jun Huang, Songcan Chen:
ALL-E: Aesthetics-guided Low-light Image Enhancement. 1062-1070 - Mingsong Li
Local-Global Transformer Enhanced Unfolding Network for Pan-sharpening. 1071-1079 - Peizheng Li, Shuxiao Ding
PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View. 1080-1088 - Wenbo Li, Xin Lu, Shengju Qian, Jiangbo Lu:
On Efficient Transformer-Based Image Pre-training for Low-Level Vision. 1089-1097 - Xiang Li, Lei Wu, Changshuo Wang, Lei Meng, Xiangxu Meng:
Compositional Zero-Shot Artistic Font Synthesis. 1098-1106 - Xiaofan Li
VS-Boost: Boosting Visual-Semantic Association for Generalized Zero-Shot Learning. 1107-1115 - Xiaofei Li, Jiaxin Yang, Shuohao Li, Jun Lei, Jun Zhang, Dong Chen:
Locate, Refine and Restore: A Progressive Enhancement Network for Camouflaged Object Detection. 1116-1124 - Xuewei Li, Tao Wu, Zhongang Qi, Gaoang Wang, Ying Shan, Xi Li:
SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation. 1125-1133 - Zan Li, Wencheng Wang, Fei Hou:
Image Composition with Depth Registration. 1134-1141 - Zecheng Li, Zening Zeng, Yuqi Liang, Jin-Gang Yu:
Complete Instances Mining for Weakly Supervised Instance Segmentation. 1142-1150 - Zelin Li, Dan Zeng, Xiao Yan, Qiaomu Shen
Analyzing and Combating Attribute Bias for Face Restoration. 1151-1159 - Zinuo Li, Xuhang Chen
A Large-Scale Film Style Dataset for Learning Multi-frequency Driven Film Enhancement. 1160-1168 - Zizhuo Li, Shihua Zhang, Jiayi Ma:
U-Match: Two-view Correspondence Learning with Hierarchy-aware Local Context Aggregation. 1169-1176 - Jiafeng Liang, Yuxin Wang, Zekun Wang, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin:
GTR: A Grafting-Then-Reassembling Framework for Dynamic Scene Graph Generation. 1177-1185 - Guandu Liu, Fangyuan Zhang, Tianxiang Pan, Jun-Hai Yong, Bin Wang
Low-Confidence Samples Mining for Semi-supervised Object Detection. 1186-1194 - Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang:
Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors. 1195-1203 - Quan Liu, Yunsong Zhou, Hongzi Zhu, Shan Chang, Minyi Guo:
APR: Online Distant Point Cloud Registration through Aggregated Point Cloud Reconstruction. 1204-1212 - Tong Liu, Jing Li, Jia Wu, Lefei Zhang, Shanshan Zhao, Jun Chang, Jun Wan:
Cross-Domain Facial Expression Recognition via Disentangling Identity Representation. 1213-1221 - Xiangcheng Liu, Tianyi Wu, Guodong Guo:
Adaptive Sparse ViT: Towards Learnable Adaptive Token Pruning by Fully Exploiting Self-Attention. 1222-1230 - Xinyuan Liu, Hang Xu, Bin Chen
Sph2Pob: Boosting Object Detection on Spherical Images with Planar Oriented Boxes Methods. 1231-1239 - Zhu Liu, Jinyuan Liu, Guanyao Wu, Long Ma, Xin Fan, Risheng Liu:
Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond. 1240-1248 - Jipeng Lv, Heng Guo, Guanying Chen, Jinxiu Liang, Boxin Shi:
Non-Lambertian Multispectral Photometric Stereo via Spectral Reflectance Decomposition. 1249-1257 - Biao Ma, Fei Gao, Chang Jiang, Nannan Wang, Gang Xu:
Semantic-Aware Generation of Multi-View Portrait Drawings. 1258-1266 - Aihua Mao, Yaqi Duan, Yu-Hui Wen, Zihui Du, Hongmin Cai, Yong-Jin Liu:
Invertible Residual Neural Networks with Conditional Injector and Interpolator for Point Cloud Upsampling. 1267-1275 - Zhenliang Ni, Fukui Yang, Shengzhao Wen, Gang Zhang:
Dual Relation Knowledge Distillation for Object Detection. 1276-1284 - Jiahao Nie, Zhiwei He, Yuxiang Yang, Zhengyi Bao, Mingyu Gao, Jing Zhang:
OSP2B: One-Stage Point-to-Box Network for 3D Siamese Tracking. 1285-1293 - Shuyi Ouyang, Hongyi Wang, Shiao Xie, Ziwei Niu, Ruofeng Tong, Yen-Wei Chen, Lanfen Lin:
SLViT: Scale-Wise Language-Guided Vision Transformer for Referring Image Segmentation. 1294-1302 - Adam Pardyl
Active Visual Exploration Based on Attention-Map Entropy. 1303-1311 - Abhirama Subramanyam Penamakuri
Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question Answering. 1312-1321 - Polina Popenova, Danil Galeev, Anna Vorontsova, Anton Konushin:
Contour-based Interactive Segmentation. 1322-1330 - Lihui Qian, Xintong Han, Faqiang Wang, Hongyu Liu, Haoye Dong, Zhiwen Li, Huawei Wei, Zhe Lin, Chengbin Jin:
XFormer: Fast and Accurate Monocular 3D Body Capture. 1331-1339 - Minseok Seo
ViT-P3DE∗: Vision Transformer Based Multi-Camera Instance Association with Pseudo 3D Position Embeddings. 1340-1350 - Shitong Shao, Huanran Chen, Zhen Huang, Linrui Gong, Shuai Wang
Teaching What You Should Teach: A Data-Based Distillation Method. 1351-1359 - Saurabh Sharma, Yongqin Xian, Ning Yu, Ambuj K. Singh
Learning Prototype Classifiers for Long-Tailed Recognition. 1360-1368 - Huawen Shen, Xiang Gao
Divide Rows and Conquer Cells: Towards Structure Recognition for Large Tables. 1369-1377 - Xuan Shen, Zhenglun Kong, Minghai Qin, Peiyan Dong, Geng Yuan, Xin Meng, Hao Tang, Xiaolong Ma, Yanzhi Wang:
Data Level Lottery Ticket Hypothesis for Vision Transformers. 1378-1386 - Zenan Shi, Haipeng Chen, Long Chen, Dong Zhang:
Discrepancy-Guided Reconstruction Learning for Image Forgery Detection. 1387-1395 - Kyuhong Shim, Jiyoung Kim, Gusang Lee, Byonghyo Shim:
Depth-Relative Self Attention for Monocular Depth Estimation. 1396-1404 - Ui-Hyeon Shin, Seungwoo Jang, Kwangsu Kim:
Acoustic NLOS Imaging with Cross Modal Knowledge Distillation. 1405-1413 - Jiakai Sun, Zhanjie Zhang, Jiafu Chen, Guangyuan Li, Boyan Ji, Lei Zhao, Wei Xing:
VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs. 1414-1422 - Rui Sun, Naisong Luo, Yuwen Pan, Huayu Mai, Tianzhu Zhang, Zhiwei Xiong, Feng Wu:
Appearance Prompt Vision Transformer for Connectome Reconstruction. 1423-1431 - Baris Batuhan Topal, Deniz Yuret, Tevfik Metin Sezgin:
Domain-Adaptive Self-Supervised Face & Body Detection in Drawings. 1432-1439 - Barath Mohan Umapathi, Kushal Chauhan, Pradeep Shenoy, Devarajan Sridharan:
Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++. 1440-1450 - Gaoang Wang, Mingli Song:
Temporal Constrained Feasible Subspace Learning for Human Pose Forecasting. 1451-1459 - Haoxuan Wang, Zhiding Yu, Yisong Yue, Animashree Anandkumar, Anqi Liu, Junchi Yan:
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach. 1460-1469 - Henan Wang, Muli Yang, Kun Wei, Cheng Deng:
Hierarchical Prompt Learning for Compositional Zero-Shot Recognition. 1470-1478 - Liuyi Wang, Zongtao He, Jiagui Tang, Ronghao Dang, Naijia Wang, Chengju Liu, Qijun Chen:
A Dual Semantic-Aware Recurrent Global-Adaptive Network for Vision-and-Language Navigation. 1479-1487 - Qian Wang, Yongqin Xian, Hefei Ling, Jinyuan Zhang, Xiaorui Lin, Ping Li, Jiazhong Chen, Ning Yu:
Detecting Adversarial Faces Using Only Real Face Self-Perturbations. 1488-1496 - Supeng Wang, Yuxi Li, Ming Xie, Mingmin Chi, Yabiao Wang, Chengjie Wang, Wenbing Zhu:
Align, Perturb and Decouple: Toward Better Leverage of Difference Information for RSI Change Detection. 1497-1505 - Xiaodong Wang, Chenfei Wu, Shengming Yin, Minheng Ni, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Fan Yang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan:
Learning 3D Photography Videos via Self-supervised Diffusion on Single Images. 1506-1514 - Zhiwei Wang, Junlin Xian, Kangyi Liu, Xin Li, Qiang Li, Xin Yang:
Dual-view Correlation Hybrid Attention Network for Robust Holistic Mammogram Classification. 1515-1523 - Jinbao Wei
Accurate MRI Reconstruction via Multi-Domain Recurrent Networks. 1524-1532 - Wanyu Wu, Wei Wang, Zheng Wang, Kui Jiang, Xin Xu:
From Generation to Suppression: Towards Effective Irregular Glow Removal for Nighttime Visibility Enhancement. 1533-1541 - Yuanchen Wu, Xiaoqiang Li, Songmin Dai, Jide Li, Tong Liu, Shaorong Xie:
Hierarchical Semantic Contrast for Weakly Supervised Semantic Segmentation. 1542-1550 - Zizhang Wu, Zhuozheng Li, Zhi-Gang Fan, Yunzhe Wu, Yuanzhu Gan, Jian Pu:
Learning Monocular Depth in Dynamic Environment via Context-aware Temporal Attention. 1551-1559 - Jiahua Xiao, Xing Wei:
Hyperspectral Image Denoising Using Uncertainty-Aware Adjustor. 1560-1568 - Weiyan Xie, Xiao-Hui Li, Caleb Chen Cao, Nevin L. Zhang:
ViT-CX: Causal Explanation of Vision Transformers. 1569-1577 - Wuyuan Xie, Tengcong Huang, Miaohui Wang:
3D Surface Super-resolution from Enhanced 2D Normal Images: A Multimodal-driven Variational AutoEncoder Approach. 1578-1586 - Conghao Xiong, Hao Chen, Joseph J. Y. Sung, Irwin King:
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification. 1587-1595 - Xiaogang Xu, Hengshuang Zhao:
Universal Adaptive Data Augmentation. 1596-1603 - Yuanyou Xu, Zongxin Yang, Yi Yang:
Video Object Segmentation in Panoptic Wild Scenes. 1604-1612 - Yunlong Xu
RuleMatch: Matching Abstract Rules for Semi-supervised Learning of Human Standard Intelligence Tests. 1613-1621 - Liqi Yan
Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video Captioning. 1622-1630 - Sai Yang, Fan Liu, Delong Chen, Jun Zhou:
Few-shot Classification via Ensemble Learning with Multi-Order Statistics. 1631-1639 - Siyuan Yang, Lu Zhang, Yu Liu, Zhizhuo Jiang, You He:
Video Diffusion Models with Local-Global Context Guidance. 1640-1648 - Xu Yang, Yanan Gu, Kun Wei, Cheng Deng:
Exploring Safety Supervision for Continual Test-time Domain Adaptation. 1649-1657 - Yuheng Yang, Haipeng Chen, Zhenguang Liu, Yingda Lyu, Beibei Zhang, Shuang Wu, Zhibo Wang, Kui Ren:
Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization. 1658-1666 - Haiyang Yu, Xiaocong Wang, Bin Li, Xiangyang Xue:
Orientation-Independent Chinese Text Recognition in Scene Images. 1667-1675 - Jun Yu, Yingshuai Zheng, Shulan Ruan, Qi Liu, Zhiyuan Cheng, Jinze Wu:
Actor-Multi-Scale Context Bidirectional Higher Order Interactive Relation Network for Spatial-Temporal Action Localization. 1676-1685 - Lang Yu
Black-box Prompt Tuning for Vision-Language Model as a Service. 1686-1694 - Yike Yuan, Xinghe Fu, Yunlong Yu, Xi Li:
DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency. 1695-1703 - Boqiang Zhang
Linguistic More: Taking a Further Step toward Efficient and Accurate Scene Text Recognition. 1704-1712 - Hang Zhang, Rongguang Wang, Jinwei Zhang, Dongdong Liu, Chao Li, Jiahao Li:
Spatially Covariant Lesion Segmentation. 1713-1721 - Runzhong Zhang, Suchen Wang, Yueqi Duan, Yansong Tang, Yue Zhang, Yap-Peng Tan:
HOI-aware Adaptive Network for Weakly-supervised Action Segmentation. 1722-1730 - Yangkang Zhang, Chenye Meng, Zejian Li, Pei Chen, Guang Yang, Changyuan Yang, Lingyun Sun:
Learning Object Consistency and Interaction in Image Generation from Scene Graphs. 1731-1739 - Yichen Zhang
Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose. 1740-1748 - Yuxuan Zhang, Wei Yang, Shaowei Wang:
FGNet: Towards Filling the Intra-class and Inter-class Gaps for Few-shot Segmentation. 1749-1758 - Zicheng Zhang, Wei Sun, Xiongkuo Min, Qiyuan Wang, Jun He, Quan Zhou, Guangtao Zhai:
MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment. 1759-1767 - Xin Zhao, Jifeng Guo, Lin Wang, Fanqi Li, Jiahao Li, Junteng Zheng, Bo Yang:
STS-GAN: Can We Synthesize Solid Texture with High Fidelity from Arbitrary 2D Exemplar? 1768-1776 - Tianlun Zheng, Zhineng Chen, Jinfeng Bai, Hongtao Xie, Yu-Gang Jiang:
TPS++: Attention-Enhanced Thin-Plate Spline for Scene Text Recognition. 1777-1785 - Chang Zhou, Jie Liu, Jie Tang, Gangshan Wu:
Video Frame Interpolation with Densely Queried Bilateral Correlation. 1786-1794 - Dewei Zhou, Zongxin Yang, Yi Yang:
Pyramid Diffusion Models for Low-light Image Enhancement. 1795-1803 - Shengdi Zhou, Tianyi Tang, Bin Zhou:
CADParser: A Learning Approach of Sequence Modeling for B-Rep CAD. 1804-1812 - Xingchen Zhou, Ying He, F. Richard Yu, Jianqiang Li, You Li:
RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models. 1813-1821 - Yan Zhou, Bo Dong, Yuanfeng Wu, Wentao Zhu, Geng Chen, Yanning Zhang:
Dichotomous Image Segmentation with Frequency Priors. 1822-1830 - Yibo Zhou, Hai-Miao Hu, Jinzuo Yu, Zhenbo Xu, Weiqing Lu, Yuran Cao:
A Solution to Co-occurence Bias: Attributes Disentanglement via Mutual Information Minimization for Pedestrian Attribute Recognition. 1831-1839 - Fengda Zhu, Vincent CS Lee, Xiaojun Chang
Vision Language Navigation with Knowledge-driven Environmental Dreamer. 1840-1848 - Xiangyang Zhu, Yiling Pan, Bailin Deng, Bin Wang
Efficient Multi-View Inverse Rendering Using a Hybrid Differentiable Rendering Method. 1849-1857 - Xinyan Zu, Haiyang Yu, Bin Li, Xiangyang Xue:
Towards Accurate Video Text Spotting with Text-wise Semantic Reasoning. 1858-1866
Constraint Satisfaction and Optimization
- Roberto Amadini, Peter J. Stuckey:
A Regular Matching Constraint for String Variables. 1868-1875 - Christian Bessiere, Clément Carbonnel, Areski Himeur:
Learning Constraint Networks over Unknown Constraint Languages. 1876-1883 - Filippo Bistaffa
Faster Exact MPE and Constrained Optimization with Deterministic Finite State Automata. 1884-1892 - Alexandre Bonlarron
Constraints First: A New MDD-based Model to Generate Sentences Under Constraints. 1893-1901 - Carlo Cena
Learning When to Use Automatic Tabulation in Constraint Model Reformulation. 1902-1910 - Leif Eriksson, Victor Lagerkvist:
A Fast Algorithm for Consistency Checking Partially Ordered Time. 1911-1918 - Leif Eriksson, Victor Lagerkvist:
Improved Algorithms for Allen's Interval Algebra by Dynamic Programming with Sublinear Partitioning. 1919-1926 - Olivier Goudet, Cyril Grelier
New Bounds and Constraint Programming Models for the Weighted Vertex Coloring Problem. 1927-1934 - Hannes Ihalainen
Unifying Core-Guided and Implicit Hitting Set Based Optimization. 1935-1943 - Markus Kirchweger, Tomás Peitl, Stefan Szeider
Co-Certificate Learning with SAT Modulo Symmetries. 1944-1953 - James Kotary, Vincenzo Di Vito, Ferdinando Fioretto:
Differentiable Model Selection for Ensemble Learning. 1954-1962 - James Kotary, My H. Dinh, Ferdinando Fioretto:
Backpropagation of Unrolled Solvers with Folded Optimization. 1963-1970 - Anna L. D. Latour, Arunabha Sen, Kuldeep S. Meel:
Solving the Identifying Code Set Problem with Grouped Independent Support. 1971-1978 - Shuolin Li, Chu-Min Li, Mao Luo, Jordi Coll, Djamal Habet, Felip Manyà:
A New Variable Ordering for In-processing Bounded Variable Elimination in SAT Solvers. 1979-1987 - Zhe Li, Yaohua Wang, Zhanshan Li:
A Bitwise GAC Algorithm for Alldifferent Constraints. 1988-1995 - Koji Noshiro, Koji Hasebe:
Flaws of Termination and Optimality in ADOPT-based Algorithms. 1996-2003 - Junqiang Peng, Mingyu Xiao:
Fast Algorithms for SAT with Bounded Occurrences of Variables. 2004-2012 - André Schidler, Stefan Szeider
Computing Twin-width with SAT and Branch & Bound. 2013-2021 - Pouya Shati, Eldan Cohen, Sheila A. McIlraith:
Optimal Decision Trees For Interpretable Clustering with Constraints. 2022-2030 - Mate Soos, Divesh Aggarwal, Sourav Chakraborty, Kuldeep S. Meel, Maciej Obremski:
Engineering an Efficient Approximate DNF-Counter. 2031-2038 - Moshe Y. Vardi, Zhiwei Zhang:
Solving Quantum-Inspired Perfect Matching Problems via Tutte-Theorem-Based Hybrid Boolean Constraints. 2039-2048 - Luhan Zhen
Eliminating the Computation of Strongly Connected Components in Generalized Arc Consistency Algorithm for AllDifferent Constraint. 2049-2057
Data Mining
- Han Chen, Ziwen Zhao, Yuhua Li, Yixiong Zou, Ruixuan Li, Rui Zhang:
CSGCL: Community-Strength-Enhanced Graph Contrastive Learning. 2059-2067 - Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Chin-Chia Michael Yeh, Xiaoting Li, Menghai Pan, Yan Zheng, Xia Hu, Hao Yang:
Probabilistic Masked Attention Networks for Explainable Sequential Recommendation. 2068-2076 - Jiewen Deng, Jinliang Deng, Renhe Jiang, Xuan Song:
Learning Gaussian Mixture Representations for Tensor Time Series Forecasting. 2077-2085 - Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu:
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning. 2086-2094 - Qiang Gao, Xiaohan Wang, Chaoran Liu, Goce Trajcevski, Li Huang, Fan Zhou:
Open Anomalous Trajectory Recognition via Probabilistic Metric Learning. 2095-2103 - Zheng Gong
Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification. 2104-2113 - Amel Hidouri, Badran Raddaoui, Saïd Jabbour:
Targeting Minimal Rare Itemsets from Transaction Databases. 2114-2121 - Qifu Hu, Ruyang Li
Enhancing Network by Reinforcement Learning and Neural Confined Local Search. 2122-2132 - Saïd Jabbour, Badran Raddaoui, Lakhdar Sais:
A Symbolic Approach to Computing Disjunctive Association Rules from Data. 2133-2141 - Youhe Jiang, Fangcheng Fu, Xupeng Miao, Xiaonan Nie, Bin Cui:
OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning. 2142-2150 - Minju Jo, Seungji Kook, Noseong Park:
Hawkes Process Based on Controlled Differential Equations. 2151-2159 - Valerie King, Alex Thomo, Quinton Yong:
Computing (1+epsilon)-Approximate Degeneracy in Sublinear Time. 2160-2168 - Yiduo Li, Shiyi Qi, Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu:
SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting. 2169-2177 - Bing Liu, Wei Luo
Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks? 2178-2186 - Bochao Liu, Pengju Wang, Shikun Li, Dan Zeng, Shiming Ge:
Model Conversion via Differentially Private Data-Free Distillation. 2187-2195 - Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu
Gapformer: Graph Transformer with Graph Pooling for Node Classification. 2196-2205 - Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Jianwei Yin, Yanchao Tan, Longfei Zheng:
Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation. 2206-2214 - Yanbei Liu, Yu Zhao, Xiao Wang, Lei Geng, Zhitao Xiao:
Multi-Scale Subgraph Contrastive Learning. 2215-2223 - Xiaodong Lu, Shuo Ji, Le Yu
Continuous-Time Graph Learning for Cascade Popularity Prediction. 2224-2232 - Shijie Luo
Dynamic Group Link Prediction in Continuous-Time Interaction Network. 2233-2241 - Yi-Fan Ma, Yali Du, Ming Li:
Capturing the Long-Distance Dependency in the Control Flow Graph via Structural-Guided Attention for Bug Localization. 2242-2250 - Shohei Matsugu, Yasuhiro Fujiwara, Hiroaki Shiokawa:
Uncovering the Largest Community in Social Networks at Scale. 2251-2260 - Hao Mei, Junxian Li
Reinforcement Learning Approaches for Traffic Signal Control under Missing Data. 2261-2269 - Hang Pan
Discriminative-Invariant Representation Learning for Unbiased Recommendation. 2270-2278 - Ziyue Qiao, Xiao Luo
Semi-supervised Domain Adaptation in Graph Transfer Learning. 2279-2287 - Yuyang Ren, Haonan Zhang, Qi Li, Luoyi Fu, Xinbing Wang, Chenghu Zhou:
Self-supervised Graph Disentangled Networks for Review-based Recommendation. 2288-2295 - Li Sun, Feiyang Wang, Junda Ye, Hao Peng, Philip S. Yu:
CONGREGATE: Contrastive Graph Clustering in Curvature Spaces. 2296-2305 - Sheng Tian, Jihai Dong, Jintang Li, Wenlong Zhao, Xiaolong Xu, Baokun Wang, Bowen Song, Changhua Meng, Tianyi Zhang, Liang Chen:
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs. 2306-2314 - Hongjun Wang, Jiyuan Chen, Lun Du, Qiang Fu, Shi Han, Xuan Song:
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention. 2315-2323 - Tianle Wang, Lianghao Xia, Chao Huang:
Denoised Self-Augmented Learning for Social Recommendation. 2324-2331 - Yilin Wang, Minghao Hu, Zhen Huang, Dongsheng Li, Wei Luo, Dong Yang, Xicheng Lu:
A Canonicalization-Enhanced Known Fact-Aware Framework For Open Knowledge Graph Link Prediction. 2332-2342 - Yuling Wang, Xiao Wang, Xiangzhou Huang, Yanhua Yu, Haoyang Li, Mengdi Zhang, Zirui Guo, Wei Wu:
Intent-aware Recommendation via Disentangled Graph Contrastive Learning. 2343-2351 - Zhikai Wang, Yanyan Shen, Zibin Zhang, Kangyi Lin:
Feature Staleness Aware Incremental Learning for CTR Prediction. 2352-2360 - Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen:
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. 2361-2369 - Yi Wu, Yanyang Xu, Wenhao Zhu, Guojie Song, Zhouchen Lin, Liang Wang, Shaoguo Liu:
KDLGT: A Linear Graph Transformer Framework via Kernel Decomposition Approach. 2370-2378 - Haolong Xiang, Xuyun Zhang
OptIForest: Optimal Isolation Forest for Anomaly Detection. 2379-2387 - Xi Yang, Ge Gao, Min Chi:
Hierarchical Apprenticeship Learning for Disease Progression Modeling. 2388-2396 - Fangzhou Yao, Qi Liu, Min Hou, Shiwei Tong, Zhenya Huang, Enhong Chen, Jing Sha, Shijin Wang:
Exploiting Non-Interactive Exercises in Cognitive Diagnosis. 2397-2405 - Shuodian Yu, Junqi Jin, Li Ma, Xiaofeng Gao, Xiaopeng Wu, Haiyang Xu, Jian Xu:
Curriculum Multi-Level Learning for Imbalanced Live-Stream Recommendation. 2406-2414 - Yalin Yu, Enneng Yang
Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-basket Recommendation. 2415-2422 - Zhe Yu, Di Jin, Xiaobao Wang, Yawen Li, Longbiao Wang, Jianwu Dang:
Commonsense Knowledge Enhanced Sentiment Dependency Graph for Sarcasm Detection. 2423-2431 - Huanhuan Yuan, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu
Sequential Recommendation with Probabilistic Logical Reasoning. 2432-2440 - Dabin Zhang, Ronghui Xu
Towards an Integrated View of Semantic Annotation for POIs with Spatial and Textual Information. 2441-2449 - Jiayun Zhang
Minimally Supervised Contextual Inference from Human Mobility: An Iterative Collaborative Distillation Framework. 2450-2458 - Sen Zhao
Towards Hierarchical Policy Learning for Conversational Recommendation with Hypergraph-based Reinforcement Learning. 2459-2467 - Han Zhou, Hongpeng Yin, Xuanhong Deng, Yuyu Huang:
Online Harmonizing Gradient Descent for Imbalanced Data Streams One-Pass Classification. 2468-2475 - Peng Zhou, Zongqian Wu, Xiangxiang Zeng, Guoqiu Wen, Junbo Ma, Xiaofeng Zhu:
Totally Dynamic Hypergraph Neural Networks. 2476-2483
Game Theory and Economic Paradigms
- Hannaneh Akrami, Jugal Garg, Eklavya Sharma, Setareh Taki:
Simplification and Improvement of MMS Approximation. 2485-2493 - Hannaneh Akrami, Bhaskar Ray Chaudhury, Jugal Garg, Kurt Mehlhorn, Ruta Mehta:
Fair and Efficient Allocation of Indivisible Chores with Surplus. 2494-2502 - Thomas Archbold
Non-Obvious Manipulability in Extensive-Form Mechanisms: The Revelation Principle for Single-Parameter Agents. 2503-2510 - Davide Bilò, Sarel Cohen, Tobias Friedrich, Hans Gawendowicz, Nicolas Klodt, Pascal Lenzner, George Skretas
Temporal Network Creation Games. 2511-2519 - Davide Bilò, Vittorio Bilò, Michelle Döring, Pascal Lenzner, Louise Molitor, Jonas Schmidt
Schelling Games with Continuous Types. 2520-2527 - Pirmin Braun, Niklas Hahn, Martin Hoefer, Conrad Schecker
Delegated Online Search. 2528-2536 - Markus Brill, Evangelos Markakis, Georgios Papasotiropoulos, Jannik Peters:
Proportionality Guarantees in Elections with Interdependent Issues. 2537-2545 - Ioannis Caragiannis, Nikolaj I. Schwartzbach:
Outsourcing Adjudication to Strategic Jurors. 2546-2553 - Ioannis Caragiannis, Jugal Garg, Nidhi Rathi, Eklavya Sharma, Giovanna Varricchio:
New Fairness Concepts for Allocating Indivisible Items. 2554-2562 - Esra Ceylan, Jiehua Chen, Sanjukta Roy
Optimal Seat Arrangement: What Are the Hard and Easy Cases? 2563-2571 - Shayan Chashm Jahan, Masoud Seddighin, Seyed Mohammad Seyed Javadi, Mohammad Sharifi:
Rainbow Cycle Number and EFX Allocations: (Almost) Closing the Gap. 2572-2580 - Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, Chongjun Wang:
Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation. 2581-2588 - Julian Chingoma, Adrian Haret:
Deliberation as Evidence Disclosure: A Tale of Two Protocol Types. 2589-2597 - Giorgos Chionas, Bogdan S. Chlebus, Dariusz R. Kowalski, Piotr Krysta:
Adversarial Contention Resolution Games. 2598-2606 - Rachael Colley
Measuring a Priori Voting Power in Liquid Democracy. 2607-2615 - Rachael Colley
Measuring and Controlling Divisiveness in Rank Aggregation. 2616-2623 - Lvye Cui
Inferring Private Valuations from Behavioral Data in Bilateral Sequential Bargaining. 2624-2632 - Michael J. Curry, Tuomas Sandholm, John P. Dickerson:
Differentiable Economics for Randomized Affine Maximizer Auctions. 2633-2641 - Argyrios Deligkas, Eduard Eiben, Gregory Z. Gutin, Philip R. Neary, Anders Yeo
Complexity of Efficient Outcomes in Binary-Action Polymatrix Games and Implications for Coordination Problems. 2642-2650 - Eva Michelle Deltl, Till Fluschnik, Robert Bredereck:
Algorithmics of Egalitarian versus Equitable Sequences of Committees. 2651-2658 - Marcin Dziubinski
Discrete Two Player All-Pay Auction with Complete Information. 2659-2666 - Piotr Faliszewski
Participatory Budgeting: Data, Tools and Analysis. 2667-2674 - Piotr Faliszewski
An Experimental Comparison of Multiwinner Voting Rules on Approval Elections. 2675-2683 - Piotr Faliszewski
Diversity, Agreement, and Polarization in Elections. 2684-2692 - Zhikang Fan, Weiran Shen:
Revenue Maximization Mechanisms for an Uninformed Mediator with Communication Abilities. 2693-2700 - Jonathan Gadea Harder, Simon Krogmann
Strategic Resource Selection with Homophilic Agents. 2701-2709 - Jugal Garg, Aniket Murhekar, John Qin:
New Algorithms for the Fair and Efficient Allocation of Indivisible Chores. 2710-2718 - Xiaoxi Guo, Sujoy Sikdar, Lirong Xia, Yongzhi Cao, Hanpin Wang:
First-Choice Maximality Meets Ex-ante and Ex-post Fairness. 2719-2727 - Hans Harder, Simon Jantsch, Christel Baier
A Unifying Formal Approach to Importance Values in Boolean Functions. 2728-2737 - Hadi Hosseini, Aghaheybat Mammadov, Tomasz Was:
Fairly Allocating Goods and (Terrible) Chores. 2738-2746 - Halvard Hummel:
On Lower Bounds for Maximin Share Guarantees. 2747-2755 - Ayumi Igarashi, Yasushi Kawase, Warut Suksompong, Hanna Sumita:
Fair Division with Two-Sided Preferences. 2756-2764 - Lukasz Janeczko, Piotr Faliszewski
Ties in Multiwinner Approval Voting. 2765-2773 - Santhini K. A.
Matchings under One-Sided Preferences with Soft Quotas. 2774-2782 - Joshua Kavner, Reshef Meir, Francesca Rossi, Lirong Xia:
Convergence in Multi-Issue Iterative Voting under Uncertainty. 2783-2791 - Yasushi Kawase, Hanna Sumita, Yu Yokoi:
Random Assignment of Indivisible Goods under Constraints. 2792-2799 - Vojtech Kovarík, Caspar Oesterheld, Vincent Conitzer:
Game Theory with Simulation of Other Players. 2800-2807 - Zihao Li, Shengxin Liu, Xinhang Lu, Biaoshuai Tao:
Truthful Fair Mechanisms for Allocating Mixed Divisible and Indivisible Goods. 2808-2816 - Xiaodong Liu, Weiran Shen:
Auto-bidding with Budget and ROI Constrained Buyers. 2817-2825 - Zbigniew Lonc:
Approximating Fair Division on D-Claw-Free Graphs. 2826-2834 - Jayakrishnan Madathil:
Fair Division of a Graph into Compact Bundles. 2835-2843 - Carlos Martin, Tuomas Sandholm:
Finding Mixed-Strategy Equilibria of Continuous-Action Games without Gradients Using Randomized Policy Networks. 2844-2852 - Kanav Mehra, Nanda Kishore Sreenivas, Kate Larson:
Deliberation and Voting in Approval-Based Multi-Winner Elections. 2853-2861 - Takayuki Osogami, Segev Wasserkrug, Elisheva S. Shamash:
Learning Efficient Truthful Mechanisms for Trading Networks. 2862-2869 - Gogulapati Sreedurga:
Participatory Budgeting with Multiple Degrees of Projects and Ranged Approval Votes. 2870-2877 - Emanuel Tewolde, Caspar Oesterheld, Vincent Conitzer, Paul W. Goldberg:
The Computational Complexity of Single-Player Imperfect-Recall Games. 2878-2887 - Luke Thorburn, Maria Polukarov, Carmine Ventre:
Error in the Euclidean Preference Model. 2888-2896 - Tianze Wei
Maximin-Aware Allocations of Indivisible Chores with Symmetric and Asymmetric Agents. 2897-2905 - Anaëlle Wilczynski
Ordinal Hedonic Seat Arrangement under Restricted Preference Domains: Swap Stability and Popularity. 2906-2914 - Yidan Xing
Truthful Auctions for Automated Bidding in Online Advertising. 2915-2922 - Sheung Man Yuen
Approximate Envy-Freeness in Graphical Cake Cutting. 2923-2930 - Yuxin Zhao, Yao Zhang, Dengji Zhao:
Incentive-Compatible Selection for One or Two Influentials. 2931-2938
Humans and AI
- Fatemeh Abdollahi, Saqib Ameen, Matthew E. Taylor, Levi H. S. Lelis:
Can You Improve My Code? Optimizing Programs with Local Search. 2940-2948 - Malyaban Bal, Abhronil Sengupta:
Sequence Learning Using Equilibrium Propagation. 2949-2957 - Cristian-Paul Bara, Ziqiao Ma, Yingzhuo Yu, Julie Shah, Joyce Chai:
Towards Collaborative Plan Acquisition through Theory of Mind Modeling in Situated Dialogue. 2958-2966 - Kezhen Chen, Kenneth D. Forbus, Balaji Vasan Srinivasan, Niyati Chhaya, Madeline Usher:
Sketch Recognition via Part-based Hierarchical Analogical Learning. 2967-2974 - Pengpeng Chen, Yongqiang Yang, Dingqi Yang, Hailong Sun, Zhijun Chen, Peng Lin:
Black-Box Data Poisoning Attacks on Crowdsourcing. 2975-2983 - Yili Fang, Chaojie Shen, Huamao Gu, Tao Han, Xinyi Ding:
TDG4Crowd: Test Data Generation for Evaluation of Aggregation Algorithms in Crowdsourcing. 2984-2992 - Bing Han, Feifei Zhao, Yi Zeng, Wenxuan Pan, Guobin Shen:
Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks. 2993-3001 - Shuang Lian, Jiangrong Shen, Qianhui Liu, Ziming Wang, Rui Yan, Huajin Tang:
Learnable Surrogate Gradient for Direct Training Spiking Neural Networks. 3002-3010 - Yi Loo, Chen Gong, Malika Meghjani:
A Hierarchical Approach to Population Training for Human-AI Collaboration. 3011-3019 - Zhuoran Lu, Zhuoyan Li, Chun-Wei Chiang, Ming Yin:
Strategic Adversarial Attacks in AI-assisted Decision Making to Reduce Human Trust and Reliance. 3020-3028 - Yingmao Miao, Qiwei Tian, Chenhao Lin, Tianle Song, Yajie Zhou, Junyi Zhao, Shuxin Gao, Minghui Yang, Chao Shen:
Learning Heuristically-Selected and Neurally-Guided Feature for Age Group Recognition Using Unconstrained Smartphone Interaction. 3029-3037 - Gali Noti, Yiling Chen:
Learning When to Advise Human Decision Makers. 3038-3048 - Lang Qin
A Low Latency Adaptive Coding Spike Framework for Deep Reinforcement Learning. 3049-3057 - Mohammad Rostami, Aram Galstyan:
Cognitively Inspired Learning of Incremental Drifting Concepts. 3058-3066 - Bingsen Wang, Jian Cao, Jue Chen, Shuo Feng, Yuan Wang:
A New ANN-SNN Conversion Method with High Accuracy, Low Latency and Good Robustness. 3067-3075 - Xinru Wang, Chen Liang, Ming Yin:
The Effects of AI Biases and Explanations on Human Decision Fairness: A Case Study of Bidding in Rental Housing Markets. 3076-3084 - Yuchen Wang, Kexin Shi, Chengzhuo Lu, Yuguo Liu, Malu Zhang, Hong Qu:
Spatial-Temporal Self-Attention for Asynchronous Spiking Neural Networks. 3085-3093
Knowledge Representation and Reasoning
- Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna:
Preferences and Constraints in Abstract Argumentation. 3095-3103 - Leila Amgoud, Philippe Muller, Henri Trenquier:
Leveraging Argumentation for Generating Robust Sample-based Explanations. 3104-3111 - Bita Banihashemi
Abstraction of Nondeterministic Situation Calculus Action Theories. 3112-3122 - Ringo Baumann, Maximilian Heinrich:
Bipolar Abstract Dialectical Frameworks Are Covered by Kleene's Three-valued Logic. 3123-3131 - Meghyn Bienvenu, Gianluca Cima, Víctor Gutiérrez-Basulto:
REPLACE: A Logical Framework for Combining Collective Entity Resolution and Repairing. 3132-3139 - Prantik Chatterjee, José Campos, Rui Abreu, Subhajit Roy:
Augmenting Automated Spectrum Based Fault Localization for Multiple Faults. 3140-3148 - Zhenhe Cui, Weidu Kuang, Yongmei Liu:
Automatic Verification for Soundness of Bounded QNP Abstractions for Generalized Planning. 3149-3157 - Alexis de Colnet, Pierre Marquis
On Translations between ML Models for XAI Purposes. 3158-3166 - Federica Di Stefano, Magdalena Ortiz, Mantas Simkus:
Description Logics with Pointwise Circumscription. 3167-3175 - Dragan Doder, Leila Amgoud, Srdjan Vesic:
Parametrized Gradual Semantics Dealing with Varied Degrees of Compensation. 3176-3183 - Eduard Eiben, Sebastian Ordyniak, Giacomo Paesani
Learning Small Decision Trees with Large Domain. 3184-3192 - Thomas Eiter, Tobias Geibinger:
Explaining Answer-Set Programs with Abstract Constraint Atoms. 3193-3202 - Jorge Fandinno, Markus Hecher:
Treewidth-Aware Complexity for Evaluating Epistemic Logic Programs. 3203-3211 - Johannes Klaus Fichte, Markus Hecher, Yasir Mahmood, Arne Meier:
Quantitative Reasoning and Structural Complexity for Claim-Centric Argumentation. 3212-3220 - Achille Fokoue, Ibrahim Abdelaziz, Maxwell Crouse, Shajith Ikbal, Akihiro Kishimoto, Guilherme Lima, Ndivhuwo Makondo, Radu Marinescu:
An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations. 3221-3229 - Marie Fortin, Boris Konev
Reverse Engineering of Temporal Queries Mediated by LTL Ontologies. 3230-3238 - Gaël Gendron
Disentanglement of Latent Representations via Causal Interventions. 3239-3247 - Silvio Ghilardi, Alessandro Gianola
Safety Verification and Universal Invariants for Relational Action Bases. 3248-3257 - Lucía Gómez Álvarez
Tractable Diversity: Scalable Multiperspective Ontology Management via Standpoint EL. 3258-3267 - Jesse Heyninck, Badran Raddaoui, Christian Straßer:
Ranking-based Argumentation Semantics Applied to Logical Argumentation. 3268-3276 - Matthias Lanzinger, Markus Nissl, Emanuel Sallinger, Przemyslaw Andrzej Walega:
Temporal Datalog with Existential Quantification. 3277-3285 - Emiliano Lorini:
A Rule-Based Modal View of Causal Reasoning. 3286-3295 - Nima Motamed
Probabilistic Temporal Logic for Reasoning about Bounded Policies. 3296-3303 - Pavel Naumov, Oliver Orejola:
Shhh! The Logic of Clandestine Operations. 3304-3311 - Sebastian Ordyniak, Giacomo Paesani
The Parameterized Complexity of Finding Concise Local Explanations. 3312-3320 - Francesco Parisi, John Grant:
Relative Inconsistency Measures for Indefinite Databases with Denial Constraints. 3321-3329 - Badran Raddaoui, Christian Straßer, Saïd Jabbour:
A Comparative Study of Ranking Formulas Based on Consistency. 3330-3337 - Martin Svatos, Peter Jung, Jan Tóth, Yuyi Wang, Ondrej Kuzelka:
On Discovering Interesting Combinatorial Integer Sequences. 3338-3346 - Balder ten Cate
SAT-Based PAC Learning of Description Logic Concepts. 3347-3355 - Hui Yang
Efficient Computation of General Modules for ALC Ontologies. 3356-3364 - Honghua Zhang, Liunian Harold Li, Tao Meng, Kai-Wei Chang, Guy Van den Broeck:
On the Paradox of Learning to Reason from Data. 3365-3373 - Ming-Liang Zhang, Fei Yin, Cheng-Lin Liu:
A Multi-Modal Neural Geometric Solver with Textual Clauses Parsed from Diagram. 3374-3382 - Xinyue Zhang, Pan Hu, Yavor Nenov, Ian Horrocks:
Enhancing Datalog Reasoning with Hypertree Decompositions. 3383-3393
Machine Learning
- Kuruge Darshana Abeyrathna, Ahmed Abdulrahem Othman Abouzeid, Bimal Bhattarai, Charul Giri, Sondre Glimsdal, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Jivitesh Sharma, Svein Anders Tunheim
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size. 3395-3403 - Carlo Adornetto, Gianluigi Greco:
GIDnets: Generative Neural Networks for Solving Inverse Design Problems via Latent Space Exploration. 3404-3413 - Philipp Altmann, Fabian Ritz, Leonard Feuchtinger, Jonas Nüßlein, Claudia Linnhoff-Popien, Thomy Phan:
CROP: Towards Distributional-Shift Robust Reinforcement Learning Using Compact Reshaped Observation Processing. 3414-3422 - Yuexuan An, Xingyu Zhao
Learning to Learn from Corrupted Data for Few-Shot Learning. 3423-3431 - Gilles Audemard, Steve Bellart, Jean-Marie Lagniez, Pierre Marquis
Computing Abductive Explanations for Boosted Regression Trees. 3432-3441 - Dmitrii Avdiukhin, Grigory Yaroslavtsev:
HOUDINI: Escaping from Moderately Constrained Saddles. 3442-3450 - Akhil Bagaria, Tom Schaul:
Scaling Goal-based Exploration via Pruning Proto-goals. 3451-3460 - Alexandra Baier, Decky Aspandi, Steffen Staab:
ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks. 3461-3469 - Ridhima Bector, Hang Xu, Abhay Aradhya, Chai Quek, Zinovi Rabinovich:
Poisoning the Well: Can We Simultaneously Attack a Group of Learning Agents? 3470-3478 - Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel, Dimitrios Myrisiotis, A. Pavan, N. V. Vinodchandran
On Approximating Total Variation Distance. 3479-3487 - Hecheng Cai, Yuze Tan, Shudong Huang, Jiancheng Lv:
Lifelong Multi-view Spectral Clustering. 3488-3496 - Sanjay Chandlekar, Shweta Jain, Sujit Gujar:
A Novel Demand Response Model and Method for Peak Reduction in Smart Grids - PowerTAC. 3497-3504 - Yongjuan Che, Yuexuan An, Hui Xue:
Boosting Few-Shot Open-Set Recognition with Multi-Relation Margin Loss. 3505-3513 - Gang Chen, Victoria Huang:
Ensemble Reinforcement Learning in Continuous Spaces - A Hierarchical Multi-Step Approach for Policy Training. 3514-3522 - Li-Jun Chen, Teng Zhang, Xuanhua Shi, Hai Jin:
Incremental and Decremental Optimal Margin Distribution Learning. 3523-3531 - Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang:
Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data. 3532-3540 - Yuanyuan Chen, Zichen Chen, Pengcheng Wu, Han Yu:
FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning. 3541-3549 - Yuhan Chen, Yihong Luo, Jing Tang, Liang Yang, Siya Qiu, Chuan Wang, Xiaochun Cao:
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity. 3550-3558 - Zhe Chen, Hao Tan, Tao Wang, Tianrun Shen, Tong Lu, Qiuying Peng, Cheng Cheng, Yue Qi:
Graph Propagation Transformer for Graph Representation Learning. 3559-3567 - Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai:
Some General Identification Results for Linear Latent Hierarchical Causal Structure. 3568-3576 - Chenhang Cui, Yazhou Ren, Jingyu Pu, Xiaorong Pu, Lifang He:
Deep Multi-view Subspace Clustering with Anchor Graph. 3577-3585 - Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo:
Neuro-Symbolic Learning of Answer Set Programs from Raw Data. 3586-3596 - Alessandro Daniele, Tommaso Campari, Sagar Malhotra, Luciano Serafini:
Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions. 3597-3605 - Sridhar Dasaratha, Sai Akhil Puranam, Karmvir Singh Phogat, Sunil Reddy Tiyyagura, Nigel P. Duffy:
DeepPSL: End-to-End Perception and Reasoning. 3606-3614 - Marianne Defresne, Sophie Barbe, Thomas Schiex:
Scalable Coupling of Deep Learning with Logical Reasoning. 3615-3623 - Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Neuro-Symbolic Class Expression Learning. 3624-3632 - Shangqi Deng, Liang-Jian Deng, Xiao Wu, Ran Ran, Rui Wen:
Bidirectional Dilation Transformer for Multispectral and Hyperspectral Image Fusion. 3633-3641 - Yuxin Dong, Tieliang Gong, Hong Chen, Chen Li:
Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rényi's Entropy Perspective. 3642-3650 - Andrew Draganov, Jakob Rødsgaard Jørgensen, Katrine Scheel, Davide Mottin, Ira Assent, Tyrus Berry, Çigdem Aslay:
ActUp: Analyzing and Consolidating tSNE and UMAP. 3651-3658 - Weihua Du
Automatic Truss Design with Reinforcement Learning. 3659-3667 - Thomas Eiter, Tobias Geibinger, Nelson Higuera, Johannes Oetsch:
A Logic-based Approach to Contrastive Explainability for Neurosymbolic Visual Question Answering. 3668-3676 - Ouns El Harzli, Bernardo Cuenca Grau, Ian Horrocks:
Cardinality-Minimal Explanations for Monotonic Neural Networks. 3677-3685 - Jonas K. Falkner, Lars Schmidt-Thieme:
Neural Capacitated Clustering. 3686-3694 - Xu Feng, Wenjian Yu:
A Fast Adaptive Randomized PCA Algorithm. 3695-3704 - Xinyu Fu
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks. 3705-3713 - Pratik Gajane, Peter Auer, Ronald Ortner:
Autonomous Exploration for Navigating in MDPs Using Blackbox RL Algorithms. 3714-3722 - Asadullah Hill Galib, Andrew McDonald, Pang-Ning Tan
Self-Recover: Forecasting Block Maxima in Time Series from Predictors with Disparate Temporal Coverage Using Self-Supervised Learning. 3723-3731 - Yi Gao, Miao Xu
Unbiased Risk Estimator to Multi-Labeled Complementary Label Learning. 3732-3740 - Abhirup Ghosh
Modeling with Homophily Driven Heterogeneous Data in Gossip Learning. 3741-3749 - Xiaoyu Gong, Shuai Lü
Adaptive Estimation Q-learning with Uncertainty and Familiarity. 3750-3758 - Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang:
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation. 3759-3767 - Kun Guo, Yutong Fang, Qingqing Huang, Yuting Liang, Ziyao Zhang, Wenyu He, Liu Yang, Kai Chen, Ximeng Liu, Wenzhong Guo:
Globally Consistent Federated Graph Autoencoder for Non-IID Graphs. 3768-3776 - Lies Hadjadj, Massih-Reza Amini, Sana Louhichi:
Generalization Guarantees of Self-Training of Halfspaces under Label Noise Corruption. 3777-3785 - Margot Herin, Patrice Perny, Nataliya Sokolovska:
Learning Preference Models with Sparse Interactions of Criteria. 3786-3794 - Daniel Hernandez, Hendrik Baier, Michael Kaisers:
BRExIt: On Opponent Modelling in Expert Iteration. 3795-3802 - Xinru Hua, Truyen Nguyen, Tam Le, Jose H. Blanchet, Viet Anh Nguyen:
Dynamic Flows on Curved Space Generated by Labeled Data. 3803-3811 - Shuokang Huang, Po-Yu Chen, Julie Ann McCann:
DiffAR: Adaptive Conditional Diffusion Model for Temporal-augmented Human Activity Recognition. 3812-3820 - Teng Huang, Bin-Bin Jia, Min-Ling Zhang:
Progressive Label Propagation for Semi-Supervised Multi-Dimensional Classification. 3821-3829 - Wenke Huang, Guancheng Wan, Mang Ye, Bo Du:
Federated Graph Semantic and Structural Learning. 3830-3838 - Yu-Xuan Huang, Zequn Sun, Guangyao Li, Xiaobin Tian, Wang-Zhou Dai, Wei Hu, Yuan Jiang, Zhi-Hua Zhou:
Enabling Abductive Learning to Exploit Knowledge Graph. 3839-3847 - Zenan Huang, Haobo Wang, Junbo Zhao, Nenggan Zheng:
Latent Processes Identification From Multi-View Time Series. 3848-3856 - Xuhao Jiang, Weimin Tan, Qing Lin, Chenxi Ma, Bo Yan, Liquan Shen:
Multi-Modality Deep Network for JPEG Artifacts Reduction. 3857-3865 - Emmanouil Karystinaios, Francesco Foscarin, Gerhard Widmer:
Musical Voice Separation as Link Prediction: Modeling a Musical Perception Task as a Multi-Trajectory Tracking Problem. 3866-3874 - Mehrdad Khatir, Nurendra Choudhary, Sutanay Choudhury, Khushbu Agarwal, Chandan K. Reddy:
A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks. 3875-3883 - Chan Kim, JaeKyung Cho, Christophe Bobda, Seung-Woo Seo, Seong-Woo Kim:
SeRO: Self-Supervised Reinforcement Learning for Recovery from Out-of-Distribution Situations. 3884-3892 - Dong Won Lee, Yubin Kim, Rosalind W. Picard, Cynthia Breazeal, Hae Won Park:
MultiPar-T: Multiparty-Transformer for Capturing Contingent Behaviors in Group Conversations. 3893-3901 - Hao-Tian Li, Tong Wei, Hao Yang, Kun Hu, Chong Peng, Li-Bo Sun, Xun-Liang Cai, Min-Ling Zhang:
Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels. 3902-3910 - Haobin Li, Yunfan Li, Mouxing Yang, Peng Hu, Dezhong Peng, Xi Peng:
Incomplete Multi-view Clustering via Prototype-based Imputation. 3911-3919 - Jian Li
Towards Sharp Analysis for Distributed Learning with Random Features. 3920-3928 - Yang Li, Liangliang Shi, Junchi Yan:
IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse. 3929-3938 - Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao:
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs. 3939-3947 - Heng Liang, Yucheng Liu, Haichao Wang, Ziyu Jia:
Teacher Assistant-Based Knowledge Distillation Extracting Multi-level Features on Single Channel Sleep EEG. 3948-3956 - Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi:
HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning. 3957-3965 - Yun-Hsuan Lien, Yuan-kui Li, Yu-Shuen Wang:
Contrastive Learning and Reward Smoothing for Deep Portfolio Management. 3966-3974 - Yu Ling, Weimin Tan, Bo Yan:
Learning Survival Distribution with Implicit Survival Function. 3975-3983 - Chenghao Liu, Xiaoyang Qu, Jianzong Wang, Jing Xiao:
FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer. 3984-3992 - Jiahao Liu
FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment. 3993-4001 - Jiaming Liu, Yangqiming Wang, Tongze Zhang, Yulu Fan, Qinli Yang, Junming Shao:
Open-world Semi-supervised Novel Class Discovery. 4002-4010 - Peng Liu
Bayesian Optimization with Switching Cost: Regret Analysis and Lookahead Variants. 4011-4018 - Yunan Lu, Weiwei Li, Xiuyi Jia:
Label Enhancement via Joint Implicit Representation Clustering. 4019-4027 - Yilin Lyu, Xin Liu, Mingyang Song
Recognizable Information Bottleneck. 4028-4036 - Guanghui Ma
Multi-View Robust Graph Representation Learning for Graph Classification. 4037-4045 - Peitian Ma, Zhen Liu, Junhao Zheng, Linghao Wang, Qianli Ma:
CTW: Confident Time-Warping for Time-Series Label-Noise Learning. 4046-4054 - Junxiang Mao
Label Specific Multi-Semantics Metric Learning for Multi-Label Classification: Global Consideration Helps. 4055-4063 - Ziqiao Meng, Peilin Zhao, Yang Yu
Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction. 4064-4072 - Nathan Michlo, Richard Klein, Steven James:
Overlooked Implications of the Reconstruction Loss for VAE Disentanglement. 4073-4081 - Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training. 4082-4090 - Xu Ouyang, Shahina Mohd Azam Ansari, Felix Xiaozhu Lin, Yangfeng Ji:
Efficient NLP Model Finetuning via Multistage Data Filtering. 4091-4099 - Vishakha Patil, Vineet Nair, Ganesh Ghalme, Arindam Khan:
Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits. 4100-4108 - Daowan Peng, Wei Wei, Xian-Ling Mao, Yuanyuan Fu, Dangyang Chen:
An Empirical Study on the Language Modal in Visual Question Answering. 4109-4117 - Qucheng Peng
RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation. 4118-4126 - Canh V. Pham, Tan D. Tran, Dung K. T. Ha, My T. Thai:
Linear Query Approximation Algorithms for Non-monotone Submodular Maximization under Knapsack Constraint. 4127-4135 - Jonathan Pilault, Can Liu, Mohit Bansal, Markus Dreyer:
On Conditional and Compositional Language Model Differentiable Prompting. 4136-4144 - Connor Pryor, Charles Dickens, Eriq Augustine, Alon Albalak, William Yang Wang, Lise Getoor:
NeuPSL: Neural Probabilistic Soft Logic. 4145-4153 - Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie:
FedSampling: A Better Sampling Strategy for Federated Learning. 4154-4162 - Arman Rahbar, Ziyu Ye, Yuxin Chen, Morteza Haghir Chehreghani:
Efficient Online Decision Tree Learning with Active Feature Acquisition. 4163-4171 - Eran Rosenbluth, Jan Tönshoff, Martin Grohe:
Some Might Say All You Need Is Sum. 4172-4179 - Daqian Shao, Marta Kwiatkowska:
Sample Efficient Model-free Reinforcement Learning from LTL Specifications with Optimality Guarantees. 4180-4189 - Zhaiming Shen
Graph-based Semi-supervised Local Clustering with Few Labeled Nodes. 4190-4198 - Zhiqiang Shen
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation. 4199-4207 - Yu Shi, Ning Xu, Hua Yuan, Xin Geng:
Unreliable Partial Label Learning with Recursive Separation. 4208-4216 - Wonchul Shin, Yusung Kim:
Guide to Control: Offline Hierarchical Reinforcement Learning Using Subgoal Generation for Long-Horizon and Sparse-Reward Tasks. 4217-4225 - Haolin Song, Mingxiao Feng, Wengang Zhou, Houqiang Li:
MA2CL: Masked Attentive Contrastive Learning for Multi-Agent Reinforcement Learning. 4226-4234 - Peng Tan, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou:
Handling Learnwares Developed from Heterogeneous Feature Spaces without Auxiliary Data. 4235-4243 - Anke Tang
Improving Heterogeneous Model Reuse by Density Estimation. 4244-4252 - Jianxiong Tang, Jian-Huang Lai, Xiaohua Xie, Lingxiao Yang:
Spike Count Maximization for Neuromorphic Vision Recognition. 4253-4261 - Xiaoli Tang, Han Yu:
Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning. 4262-4270 - Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu:
Calibrating a Deep Neural Network with Its Predecessors. 4271-4279 - Jan Tönshoff, Berke Kisin, Jakob Lindner, Martin Grohe:
One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction. 4280-4288 - Shanchuan Wan, Yujin Tang, Yingtao Tian, Tomoyuki Kaneko:
DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards. 4289-4298 - Chaoqun Wang
DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time Series. 4299-4307 - Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen:
Deep Partial Multi-Label Learning with Graph Disambiguation. 4308-4316 - Juanyan Wang, Mustafa Bilgic:
Context-Aware Feature Selection and Classification. 4317-4325 - Junyang Wang, Ming Yan, Yi Zhang, Jitao Sang:
From Association to Generation: Text-only Captioning by Unsupervised Cross-modal Mapping. 4326-4334 - Ren-Jian Wang
Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting. 4335-4343 - Xin'ao Wang, Huan Li, Ke Chen, Lidan Shou:
FedBFPT: An Efficient Federated Learning Framework for Bert Further Pre-training. 4344-4352 - Yifei Wang, Yiyang Zhou, Jihua Zhu, Xinyuan Liu, Wenbiao Yan, Zhiqiang Tian:
Contrastive Label Enhancement. 4353-4361 - Yilin Wang, Nan Cao, Teng Zhang, Xuanhua Shi, Hai Jin:
Scalable Optimal Margin Distribution Machine. 4362-4370 - Shuhei Watanabe, Frank Hutter:
c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization. 4371-4379 - Shuhei Watanabe, Noor H. Awad, Masaki Onishi, Frank Hutter:
Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator. 4380-4388 - Shuhei Watanabe, Archit Bansal, Frank Hutter:
PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces. 4389-4396 - Wen Wen, Han Li, Hong Chen, Rui Wu, Lingjuan Wu, Liangxuan Zhu:
Generalization Bounds for Adversarial Metric Learning. 4397-4405 - Patrick Wienhöft
More for Less: Safe Policy Improvement with Stronger Performance Guarantees. 4406-4415 - Jinming Wu, Qi Qi, Jingyu Wang, Haifeng Sun, Zhikang Wu, Zirui Zhuang
Not Only Pairwise Relationships: Fine-Grained Relational Modeling for Multivariate Time Series Forecasting. 4416-4423 - Nannan Wu, Li Yu, Xuefeng Jiang, Kwang-Ting Cheng, Zengqiang Yan:
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity. 4424-4432 - Yifan Wu, Shichao Kan, Min Zeng
Singularformer: Learning to Decompose Self-Attention to Linearize the Complexity of Transformer. 4433-4441 - Ruixuan Xiao, Yiwen Dong, Haobo Wang, Lei Feng, Runze Wu, Gang Chen, Junbo Zhao:
ProMix: Combating Label Noise via Maximizing Clean Sample Utility. 4442-4450 - Siyue Xie, Da Sun Handason Tam, Wing Cheong Lau:
Violin: Virtual Overbridge Linking for Enhancing Semi-supervised Learning on Graphs with Limited Labels. 4451-4459 - Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen:
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data. 4460-4468 - Meimei Yang
Expanding the Hyperbolic Kernels: A Curvature-aware Isometric Embedding View. 4469-4477 - Yunchao Yang, Yipeng Zhou
BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning. 4478-4485 - Zijian Yang, Zhiwei Li, Lu Sun:
Generalized Discriminative Deep Non-Negative Matrix Factorization Based on Latent Feature and Basis Learning. 4486-4494 - Feiyang Ye, Xuehao Wang, Yu Zhang, Ivor W. Tsang
Multi-Task Learning via Time-Aware Neural ODE. 4495-4503 - Shuo Yin
LGI-GT: Graph Transformers with Local and Global Operators Interleaving. 4504-4512 - Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Dong Yan, Jun Zhu:
On the Reuse Bias in Off-Policy Reinforcement Learning. 4513-4521 - Chong Yu, Tao Chen, Zhongxue Gan:
Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend. 4522-4530 - Xiaohan Yu, Jun Wang
CLE-ViT: Contrastive Learning Encoded Transformer for Ultra-Fine-Grained Visual Categorization. 4531-4539 - Zhongwei Yu, Jingqing Ruan, Dengpeng Xing:
Explainable Reinforcement Learning via a Causal World Model. 4540-4548 - Xianghua Zeng, Hao Peng, Angsheng Li, Chunyang Liu, Lifang He, Philip S. Yu:
Hierarchical State Abstraction based on Structural Information Principles. 4549-4557 - Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan
Dual Personalization on Federated Recommendation. 4558-4566 - Hangtao Zhang
Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning. 4567-4575 - Qin Zhang, Zelin Shi, Xiaolin Zhang, Xiaojun Chen, Philippe Fournier-Viger, Shirui Pan:
G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns. 4576-4583 - Wei Zhang, Yongxiang Liu, Zhuo Wang, Jianyong Wang:
Learning to Binarize Continuous Features for Neuro-Rule Networks. 4584-4592 - Xiuwei Zhang, Yi Sun, Yamin Han, Yanping Li, Hanlin Yin, Yinghui Xing, Yanning Zhang:
SSML-QNet: Scale-Separative Metric Learning Quadruplet Network for Multi-modal Image Patch Matching. 4593-4601 - Yihan Zhang, Meikang Qiu, Hongchang Gao:
Communication-Efficient Stochastic Gradient Descent Ascent with Momentum Algorithms. 4602-4610 - Yuchao Zhang, Yuan Yuan, Qi Wang:
Multi-level Graph Contrastive Prototypical Clustering. 4611-4619 - Zhe Zhang, Xiaoyang Tan:
Adaptive Reward Shifting Based on Behavior Proximity for Offline Reinforcement Learning. 4620-4628 - Zheyu Zhang, Tianping Zhang, Jian Li:
Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance. 4629-4637 - Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li:
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning. 4638-4646 - Chen-Yu Zhao, Tian-Jing Zhang, Ran Ran, Zhi-Xuan Chen, Liang-Jian Deng:
LGPConv: Learnable Gaussian Perturbation Convolution for Lightweight Pansharpening. 4647-4655 - Kai Zhao, Qiyu Kang, Yang Song, Rui She
Graph Neural Convection-Diffusion with Heterophily. 4656-4664 - Fei Zheng, Chaochao Chen, Lingjuan Lyu, Binhui Yao:
Reducing Communication for Split Learning by Randomized Top-k Sparsification. 4665-4673 - Zhehua Zhong, Tianyi Chen, Zhen Wang:
MAT: Mixed-Strategy Game of Adversarial Training in Fine-tuning. 4674-4683 - Yunyi Zhou, Zhixuan Chu, Yijia Ruan, Ge Jin, Yuchen Huang, Sheng Li:
pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting. 4684-4692 - Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li:
Towards Long-delayed Sparsity: Learning a Better Transformer through Reward Redistribution. 4693-4701 - Wenhao Zhu, Tianyu Wen, Guojie Song, Xiaojun Ma, Liang Wang:
Hierarchical Transformer for Scalable Graph Learning. 4702-4710 - Wenxuan Zhu, Chao Yu, Qiang Zhang:
Causal Deep Reinforcement Learning Using Observational Data. 4711-4719 - Yichen Zhu, Jian Yuan, Bo Jiang, Tao Lin, Haiming Jin, Xinbing Wang, Chenghu Zhou:
Prediction with Incomplete Data under Agnostic Mask Distribution Shift. 4720-4728 - Xiang Zhuang
Graph Sampling-based Meta-Learning for Molecular Property Prediction. 4729-4737
Multidisciplinary Topics and Applications
- Mingcai Chen, Yu Zhao, Zhonghuang Wang, Bing He, Jianhua Yao:
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification. 4739-4747 - Maria Christakis, Hasan Ferit Eniser, Jörg Hoffmann, Adish Singla, Valentin Wüstholz:
Specifying and Testing k-Safety Properties for Machine-Learning Models. 4748-4757 - Yiqi Dong, Dongxiao He, Xiaobao Wang, Yawen Li, Xiaowen Su, Di Jin:
A Generalized Deep Markov Random Fields Framework for Fake News Detection. 4758-4765 - Siyu Gao, Yunbo Wang, Xiaokang Yang:
StockFormer: Learning Hybrid Trading Machines with Predictive Coding. 4766-4774 - Marzieh Haghighi, Mario C. Cruz, Erin Weisbart, Beth A. Cimini, Avtar Singh, Julia Bauman, Maria E. Lozada, Sanam L. Kavari, James T. Neal, Paul C. Blainey, Anne E. Carpenter
Pseudo-Labeling Enhanced by Privileged Information and Its Application to In Situ Sequencing Images. 4775-4784 - Xixuan Hao, Danqing Huang, Jieru Lin, Chin-Yew Lin:
Relation-enhanced DETR for Component Detection in Graphic Design Reverse Engineering. 4785-4793 - Dongpeng Hou, Zhen Wang, Chao Gao, Xuelong Li:
Sequential Attention Source Identification Based on Feature Representation. 4794-4802 - George Z. Li, Dung Nguyen, Anil Vullikanti:
Differentially Private Partial Set Cover with Applications to Facility Location. 4803-4811 - Jingyang Li, Dengpan Ye
Voice Guard: Protecting Voice Privacy with Strong and Imperceptible Adversarial Perturbation in the Time Domain. 4812-4820 - Peiying Li, Yongchang Liu, Shikui Tu, Lei Xu:
GLPocket: A Multi-Scale Representation Learning Approach for Protein Binding Site Prediction. 4821-4828 - Luotao Liu, Feng Huang, Xuan Liu, Zhankun Xiong, Menglu Li, Congzhi Song, Wen Zhang:
Multi-view Contrastive Learning Hypergraph Neural Network for Drug-Microbe-Disease Association Prediction. 4829-4837 - Ziping Ma
Robust Steganography without Embedding Based on Secure Container Synthesis and Iterative Message Recovery. 4838-4846 - Rubens O. Moraes, David S. Aleixo, Lucas N. Ferreira, Levi H. S. Lelis:
Choosing Well Your Opponents: How to Guide the Synthesis of Programmatic Strategies. 4847-4854 - Nairouz Mrabah, Mohamed Mahmoud Amar, Mohamed Bouguessa, Abdoulaye Baniré Diallo:
Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data. 4855-4863 - Aðalsteinn Pálsson
Unveiling Concepts Learned by a World-Class Chess-Playing Agent. 4864-4872 - Yongqiang Tian, Zhenyang Xu, Yiwen Dong, Chengnian Sun, Shing-Chi Cheung:
Revisiting the Evaluation of Deep Learning-Based Compiler Testing. 4873-4882 - Sidney Tio, Pradeep Varakantham
Transferable Curricula through Difficulty Conditioned Generators. 4883-4891 - Haojie Wei
JEPOO: Highly Accurate Joint Estimation of Pitch, Onset and Offset for Music Information Retrieval. 4892-4902 - Zikai Wei, Anyi Rao, Bo Dai, Dahua Lin:
HireVAE: An Online and Adaptive Factor Model Based on Hierarchical and Regime-Switch VAE. 4903-4911 - Feng Wu
A Diffusion Model with Contrastive Learning for ICU False Arrhythmia Alarm Reduction. 4912-4920 - Yongxin Xu, Kai Yang, Chaohe Zhang, Peinie Zou, Zhiyuan Wang, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie:
VecoCare: Visit Sequences-Clinical Notes Joint Learning for Diagnosis Prediction in Healthcare Data. 4921-4929 - Mengyuan Yang, Mengying Zhu, Qianqiao Liang, Xiaolin Zheng, Menghan Wang:
Spotlight News Driven Quantitative Trading Based on Trajectory Optimization. 4930-4939 - Xixi Yang, Li Fu, Yafeng Deng, Yuansheng Liu, Dongsheng Cao, Xiangxiang Zeng:
GPMO: Gradient Perturbation-Based Contrastive Learning for Molecule Optimization. 4940-4948 - Yutong Ye, Yingbo Zhou, Jiepin Ding, Ting Wang, Mingsong Chen, Xiang Lian:
InitLight: Initial Model Generation for Traffic Signal Control Using Adversarial Inverse Reinforcement Learning. 4949-4958 - Yilong Zang, Ruimin Hu, Zheng Wang, Danni Xu, Jia Wu
Don't Ignore Alienation and Marginalization: Correlating Fraud Detection. 4959-4966 - Yuyao Zhai, Liang Chen, Minghua Deng:
Realistic Cell Type Annotation and Discovery for Single-cell RNA-seq Data. 4967-4974 - Chuheng Zhang, Yitong Duan, Xiaoyu Chen, Jianyu Chen, Jian Li, Li Zhao:
Towards Generalizable Reinforcement Learning for Trade Execution. 4975-4983 - Ziyuan Zhao, Peisheng Qian, Xulei Yang, Zeng Zeng, Cuntai Guan, Tam Wai Leong, Xiaoli Li:
SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction. 4984-4992 - Xiaolin Zheng, Mengpu Liu, Mengying Zhu:
Deep Hashing-based Dynamic Stock Correlation Estimation via Normalizing Flow. 4993-5001 - Yiheng Zhu, Zhenqiu Ouyang, Ben Liao, Jialu Wu, Yixuan Wu, Chang-Yu Hsieh, Tingjun Hou, Jian Wu:
MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation. 5002-5010
Natural Language Processing
- Meikai Bao, Qi Liu, Kai Zhang, Ye Liu, Linan Yue, Longfei Li, Jun Zhou:
Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering. 5012-5020 - Li Cai, Xin Mao, Youshao Xiao, Changxu Wu, Man Lan:
An Effective and Efficient Time-aware Entity Alignment Framework via Two-aspect Three-view Label Propagation. 5021-5029 - Xiang Chen, Lei Li, Shuofei Qiao, Ningyu Zhang, Chuanqi Tan, Yong Jiang, Fei Huang, Huajun Chen:
One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER. 5030-5038 - Yanrui Du, Jing Yan, Yan Chen, Jing Liu, Sendong Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Bing Qin:
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation. 5039-5048 - Yuxi Feng, Xiaoyuan Yi, Laks V. S. Lakshmanan, Xing Xie:
KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation. 5049-5057 - Daniel Grießhaber, Johannes Maucher, Ngoc Thang Vu:
Regularisation for Efficient Softmax Parameter Generation in Low-Resource Text Classifiers. 5058-5066 - Boren Hu, Yun Zhu, Jiacheng Li, Siliang Tang:
SmartBERT: A Promotion of Dynamic Early Exiting Mechanism for Accelerating BERT Inference. 5067-5075 - Yuchen Hu, Ruizhe Li
Cross-Modal Global Interaction and Local Alignment for Audio-Visual Speech Recognition. 5076-5084 - Songhao Jiang, Yan Chu, Zhengkui Wang, Tianxing Ma, Hanlin Wang, Wenxuan Lu, Tianning Zang, Bo Wang:
Explainable Text Classification via Attentive and Targeted Mixing Data Augmentation. 5085-5094 - Abhinav Joshi, Areeb Ahmad, Umang Pandey, Ashutosh Modi:
ScriptWorld: Text Based Environment for Learning Procedural Knowledge. 5095-5103 - Wenjun Ke, Zongkai Tian, Qi Liu, Peng Wang, Jinhua Gao, Rui Qi:
Towards Incremental NER Data Augmentation via Syntactic-aware Insertion Transformer. 5104-5112 - Bingbing Li, Zigeng Wang, Shaoyi Huang, Mikhail A. Bragin, Ji Li, Caiwen Ding:
Towards Lossless Head Pruning through Automatic Peer Distillation for Language Models. 5113-5121 - Chen Li, Xinghao Yang, Baodi Liu, Weifeng Liu, Honglong Chen:
Annealing Genetic-based Preposition Substitution for Text Rubbish Example Generation. 5122-5130 - Zuchao Li, Xingyi Guo, Letian Peng, Lefei Zhang, Hai Zhao:
iRe2f: Rethinking Effective Refinement in Language Structure Prediction via Efficient Iterative Retrospecting and Reasoning. 5131-5140 - Yonghao Liu
Local and Global: Temporal Question Answering via Information Fusion. 5141-5149 - Zhenyu Liu, Baotian Hu, Zhenran Xu, Min Zhang:
PPAT: Progressive Graph Pairwise Attention Network for Event Causality Identification. 5150-5158 - Menglong Lu, Zhen Huang, Zhiliang Tian, Yunxiang Zhao, Xuanyu Fei, Dongsheng Li:
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification. 5159-5169 - Jinzhong Ning, Zhihao Yang, Zhizheng Wang, Yuanyuan Sun, Hongfei Lin:
ODEE: A One-Stage Object Detection Framework for Overlapping and Nested Event Extraction. 5170-5178 - Takaaki Saeki, Soumi Maiti, Xinjian Li, Shinji Watanabe, Shinnosuke Takamichi, Hiroshi Saruwatari:
Learning to Speak from Text: Zero-Shot Multilingual Text-to-Speech with Unsupervised Text Pretraining. 5179-5187 - Zhivar Sourati
Case-Based Reasoning with Language Models for Classification of Logical Fallacies. 5188-5196 - Jingyuan Sun
Fine-tuned vs. Prompt-tuned Supervised Representations: Which Better Account for Brain Language Representations? 5197-5205 - Yixuan Tang, Anthony K. H. Tung:
SQuAD-SRC: A Dataset for Multi-Accent Spoken Reading Comprehension. 5206-5214 - Peng Wang, Jiafeng Xie, Xiye Chen, Guozheng Li, Wei Li:
PasCore: A Chinese Overlapping Relation Extraction Model Based on Global Pointer Annotation Strategy. 5215-5223 - Yinggui Wang, Wei Huang, Le Yang:
Privacy-Preserving End-to-End Spoken Language Understanding. 5224-5232 - Ziao Wang, Zelin Jiang, Xiaofeng Zhang, Jaehyeon Soon, Jialu Zhang, Wang Xiaoyao, Hongwei Du:
Beyond Pure Text: Summarizing Financial Reports Based on Both Textual and Tabular Data. 5233-5241 - Zenan Xu, Xiaojun Meng, Yasheng Wang, Qinliang Su, Zexuan Qiu, Xin Jiang, Qun Liu:
Learning Summary-Worthy Visual Representation for Abstractive Summarization in Video. 5242-5250 - Sitong Yan, Shengli Song, Jingyang Li, Shiqi Meng, Guangneng Hu:
TITAN : Task-oriented Dialogues with Mixed-Initiative Interactions. 5251-5259 - Pei Yu, Liang Zhang, Biao Fu, Yidong Chen:
Efficient Sign Language Translation with a Curriculum-based Non-autoregressive Decoder. 5260-5268 - Mingliang Zhai, Yulin Li, Xiameng Qin, Chen Yi, Qunyi Xie, Chengquan Zhang, Kun Yao, Yuwei Wu, Yunde Jia:
Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding. 5269-5277 - Liang Zhang, Zijun Min, Jinsong Su, Pei Yu, Ante Wang, Yidong Chen:
Exploring Effective Inter-Encoder Semantic Interaction for Document-Level Relation Extraction. 5278-5286 - Zai Zhang, Bin Shi, Haokun Zhang, Huang Xu
NerCo: A Contrastive Learning Based Two-Stage Chinese NER Method. 5287-5295 - Jiangjiang Zhao, Zhuoran Wang, Fangchun Yang:
Genetic Prompt Search via Exploiting Language Model Probabilities. 5296-5305 - Shiman Zhao, Wei Chen, Tengjiao Wang:
Learning Few-shot Sample-set Operations for Noisy Multi-label Aspect Category Detection. 5306-5313 - Fangyi Zhu, See-Kiong Ng, Stéphane Bressan:
COOL, a Context Outlooker, and Its Application to Question Answering and Other Natural Language Processing Tasks. 5314-5322
Planning and Scheduling
- Palash Chatterjee, Ashutosh Chapagain, Weizhe Chen, Roni Khardon:
DiSProD: Differentiable Symbolic Propagation of Distributions for Planning. 5324-5332 - Argyrios Deligkas, Eduard Eiben, George Skretas
Minimizing Reachability Times on Temporal Graphs via Shifting Labels. 5333-5340 - Nicola Gigante, Enrico Scala:
On the Compilability of Bounded Numeric Planning. 5341-5349 - Zangir Iklassov, Dmitrii Medvedev, Ruben Solozabal Ochoa de Retana, Martin Takác:
On the Study of Curriculum Learning for Inferring Dispatching Policies on the Job Shop Scheduling. 5350-5358 - Kazi Ashik Islam, Da Qi Chen, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti:
Simulation-Assisted Optimization for Large-Scale Evacuation Planning with Congestion-Dependent Delays. 5359-5367 - Michael Katz, Junkyu Lee:
K∗ Search over Orbit Space for Top-k Planning. 5368-5376 - Sarah Keren, David Wies, Sara Bernardini:
Helpful Information Sharing for Partially Informed Planning Agents. 5377-5385 - David Klaska, Antonín Kucera
Mean Payoff Optimization for Systems of Periodic Service and Maintenance. 5386-5393 - Harsha Kokel, Junkyu Lee, Michael Katz, Kavitha Srinivas, Shirin Sohrabi:
Action Space Reduction for Planning Domains. 5394-5401 - Wietze Koops
Recursive Small-Step Multi-Agent A* for Dec-POMDPs. 5402-5410 - Wenjun Li
Generalization through Diversity: Improving Unsupervised Environment Design. 5411-5419 - Florian Pham, Álvaro Torralba
Can I Really Do That? Verification of Meta-Operators via Stackelberg Planning. 5420-5428 - Guillaume Prévost, Stéphane Cardon
Topological Planning with Post-unique and Unary Actions. 5429-5436 - Dejin Ren
Model Predictive Control with Reach-avoid Analysis. 5437-5445 - Renee Selvey, Alban Grastien, Sylvie Thiébaux:
Formal Explanations of Neural Network Policies for Planning. 5446-5456 - Daniël Vos, Sicco Verwer:
Optimal Decision Tree Policies for Markov Decision Processes. 5457-5465 - Ruoyu Wu, Wei Bao, Liming Ge:
Online Task Assignment with Controllable Processing Time. 5466-5474 - Alexander Zadorojniy, Takayuki Osogami, Orit Davidovich:
A Rigorous Risk-aware Linear Approach to Extended Markov Ratio Decision Processes with Embedded Learning. 5475-5483
Robotics
- Leonardo Lamanna, Mohamadreza Faridghasemnia, Alfonso Gerevini, Alessandro Saetti, Alessandro Saffiotti, Luciano Serafini, Paolo Traverso:
Learning to Act for Perceiving in Partially Unknown Environments. 5485-5493 - Lei Wu, Bin Guo, Qiuyun Zhang, Zhuo Sun, Jieyi Zhang, Zhiwen Yu:
Learning to Self-Reconfigure for Freeform Modular Robots via Altruism Proximal Policy Optimization. 5494-5502 - Yulun Zhang
Multi-Robot Coordination and Layout Design for Automated Warehousing. 5503-5511
Search
- Chao Bian, Yawen Zhou, Miqing Li
Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms. 5513-5521 - Sacha Cerf, Benjamin Doerr, Benjamin Hebras, Yakob Kahane, Simon Wietheger
The First Proven Performance Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) on a Combinatorial Optimization Problem. 5522-5530 - Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe:
Complex Contagion Influence Maximization: A Reinforcement Learning Approach. 5531-5540 - Michael Cunanan, Michael Thielscher:
On Optimal Strategies for Wordle and General Guessing Games. 5541-5548 - Matthieu Dinot, Benjamin Doerr, Ulysse Hennebelle, Sebastian Will:
Runtime Analyses of Multi-Objective Evolutionary Algorithms in the Presence of Noise. 5549-5557 - Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann:
Diverse Approximations for Monotone Submodular Maximization Problems with a Matroid Constraint. 5558-5566 - Jinchun Du, Bojie Shen
Efficient Object Search in Game Maps. 5567-5576 - Thomas Erlebach, Murilo S. de Lima, Nicole Megow, Jens Schlöter:
Sorting and Hypergraph Orientation under Uncertainty with Predictions. 5577-5585 - Jaroslav Garvardt, Niels Grüttemeier, Christian Komusiewicz, Nils Morawietz
Parameterized Local Search for Max c-Cut. 5586-5594 - Mingyu Huang
Exploring Structural Similarity in Fitness Landscapes via Graph Data Mining: A Case Study on Number Partitioning Problems. 5595-5603 - Hua Jiang, Zhifei Zheng:
An Exact Algorithm for the Minimum Dominating Set Problem. 5604-5612 - Hua Jiang, Fusheng Xu, Zhifei Zheng, Bowen Wang, Wei Zhou:
A Refined Upper Bound and Inprocessing for the Maximum K-plex Problem. 5613-5621 - Laurent Orseau, Marcus Hutter, Levi H. S. Lelis:
Levin Tree Search with Context Models. 5622-5630 - Lior Siag, Shahaf S. Shperberg, Ariel Felner, Nathan R. Sturtevant:
Front-to-End Bidirectional Heuristic Search with Consistent Heuristics: Enumerating and Evaluating Algorithms and Bounds. 5631-5638 - Yiyuan Wang, Chenghou Jin, Shaowei Cai, Qingwei Lin:
PathLAD+: An Improved Exact Algorithm for Subgraph Isomorphism Problem. 5639-5647 - Zhengren Wang, Yi Zhou, Chunyu Luo, Mingyu Xiao:
A Fast Maximum k-Plex Algorithm Parameterized by the Degeneracy Gap. 5648-5656 - Simon Wietheger
A Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm III (NSGA-III). 5657-5665
Uncertainty in AI
- Debarun Bhattacharjya, Oktie Hassanzadeh, Ronny Luss, Keerthiram Murugesan:
Probabilistic Rule Induction from Event Sequences with Logical Summary Markov Models. 5667-5675 - Yunqiu Han, Yizuo Chen, Adnan Darwiche:
On the Complexity of Counterfactual Reasoning. 5676-5684 - Shiyu Liu, Linsen Wei, Shaogao Lv, Ming Li
Stability and Generalization of lp-Regularized Stochastic Learning for GCN. 5685-5693 - Radu Marinescu, Haifeng Qian
Approximate Inference in Logical Credal Networks. 5694-5701 - Jie Qiao, Ruichu Cai, Siyu Wu, Yu Xiang, Keli Zhang, Zhifeng Hao:
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences. 5702-5710 - Willem Röpke
Distributional Multi-Objective Decision Making. 5711-5719 - Bahare Salmani, Joost-Pieter Katoen:
Finding an ϵ-Close Minimal Variation of Parameters in Bayesian Networks. 5720-5729 - Benito van der Zander, Markus Bläser, Maciej Liskiewicz:
The Hardness of Reasoning about Probabilities and Causality. 5730-5738 - Wen-Chi Yang
Safe Reinforcement Learning via Probabilistic Logic Shields. 5739-5749 - Fabio Massimo Zennaro, Paolo Turrini, Theodoros Damoulas:
Quantifying Consistency and Information Loss for Causal Abstraction Learning. 5750-5757 - Yu Zhang, Mitchell Bucklew:
Max Markov Chain. 5758-5767
AI and Arts
Uncertainty in AI
- Renaud Bougueng Tchemeube, Jeffrey Ens, Cale Plut, Philippe Pasquier, Maryam Safi, Yvan Grabit, Jean-Baptiste Rolland:
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition. 5769-5778 - Carlos Cancino Chacón, Silvan Peter, Patricia Hu, Emmanouil Karystinaios, Florian Henkel, Francesco Foscarin, Gerhard Widmer:
The ACCompanion: Combining Reactivity, Robustness, and Musical Expressivity in an Automatic Piano Accompanist. 5779-5787 - Jiafu Chen, Boyan Ji, Zhanjie Zhang, Tianyi Chu, Zhiwen Zuo, Lei Zhao, Wei Xing, Dongming Lu:
TeSTNeRF: Text-Driven 3D Style Transfer via Cross-Modal Learning. 5788-5796 - Emanuele Cosenza, Andrea Valenti, Davide Bacciu:
Graph-based Polyphonic Multitrack Music Generation. 5797-5805 - Allegra De Filippo, Luca Giuliani, Eleonora Mancini
Towards Symbiotic Creativity: A Methodological Approach to Compare Human and AI Robotic Dance Creations. 5806-5814 - Jeremia Geiger, Karolis Martinkus, Oliver Richter, Roger Wattenhofer:
Automating Rigid Origami Design. 5815-5823 - Zuzeng Lin, Ailin Huang, Zhewei Huang:
Collaborative Neural Rendering Using Anime Character Sheets. 5824-5832 - Pablo Navarro, Celia Cintas
IberianVoxel: Automatic Completion of Iberian Ceramics for Cultural Heritage Studies. 5833-5841 - Matthias Plasser, Silvan Peter, Gerhard Widmer:
Discrete Diffusion Probabilistic Models for Symbolic Music Generation. 5842-5850 - Haohan Weng
Learn and Sample Together: Collaborative Generation for Graphic Design Layout. 5851-5859 - Sicheng Yang, Zhiyong Wu, Minglei Li, Zhensong Zhang, Lei Hao, Weihong Bao, Ming Cheng, Long Xiao:
DiffuseStyleGesture: Stylized Audio-Driven Co-Speech Gesture Generation with Diffusion Models. 5860-5868 - Zhen Ye, Wei Xue, Xu Tan, Qifeng Liu, Yike Guo:
NAS-FM: Neural Architecture Search for Tunable and Interpretable Sound Synthesis Based on Frequency Modulation. 5869-5877 - Jingwei Zhao, Gus Xia, Ye Wang:
Q&A: Query-Based Representation Learning for Multi-Track Symbolic Music re-Arrangement. 5878-5886
AI for Good
Uncertainty in AI
- Emily L. Aiken, Esther Rolf, Joshua Blumenstock:
Fairness and Representation in Satellite-Based Poverty Maps: Evidence of Urban-Rural Disparities and Their Impacts on Downstream Policy. 5888-5896 - Muneeza Azmat, Malvern Madondo
Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks To Guide Sustainable Crop Management. 5897-5905 - Guillaume Bied, Solal Nathan, Elia Perennes, Morgane Hoffmann, Philippe Caillou, Bruno Crépon, Christophe Gaillac, Michèle Sebag:
Toward Job Recommendation for All. 5906-5914 - Junyoung Byun, Jaewook Lee:
Fast and Differentially Private Fair Clustering. 5915-5923 - Margot Challand
Supporting Sustainable Agroecological Initiatives for Small Farmers through Constraint Programming. 5924-5931 - Jiaee Cheong, Selim Kuzucu, Sinan Kalkan, Hatice Gunes:
Towards Gender Fairness for Mental Health Prediction. 5932-5940 - Preetam Prabhu Srikar Dammu
Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models. 5941-5949 - Panayiotis Danassis, Shresth Verma, Jackson A. Killian, Aparna Taneja, Milind Tambe:
Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare. 5950-5958 - Sujan Dutta, Parth Srivastava, Vaishnavi Solunke, Swaprava Nath, Ashiqur R. KhudaBukhsh:
Disentangling Societal Inequality from Model Biases: Gender Inequality in Divorce Court Proceedings. 5959-5967 - Jérôme Fink, Pierre Poitier, Maxime André, Loup Meurice, Benoît Frénay, Anthony Cleve, Bruno Dumas, Laurence Meurant:
Sign Language-to-Text Dictionary with Lightweight Transformer Models. 5968-5976 - Lucia Gordon
Find Rhinos without Finding Rhinos: Active Learning with Multimodal Imagery of South African Rhino Habitats. 5977-5985 - Erhu He, Yue Wan, Benjamin H. Letcher, Jennifer H. Fair, Yiqun Xie, Xiaowei Jia:
CGS: Coupled Growth and Survival Model with Cohort Fairness. 5986-5994 - Ming Shan Hee, Wen-Haw Chong, Roy Ka-Wei Lee:
Decoding the Underlying Meaning of Multimodal Hateful Memes. 5995-6003 - Ananya Joshi, Kathryn Mazaitis, Roni Rosenfeld
Computationally Assisted Quality Control for Public Health Data Streams. 6004-6012 - Adel Khorramrouz, Sujan Dutta
For Women, Life, Freedom: A Participatory AI-Based Social Web Analysis of a Watershed Moment in Iran's Gender Struggles. 6013-6021 - Sarah Eve Kinsey, Jack Wolf, Nalini Saligram, Varun Ramesan, Meeta Walavalkar, Nidhi Jaswal, Sandhya Ramalingam, Arunesh Sinha, Thanh Hong Nguyen:
Building a Personalized Messaging System for Health Intervention in Underprivileged Regions Using Reinforcement Learning. 6022-6030 - Astrid Klipfel, Yaël Frégier, Adlane Sayede, Zied Bouraoui:
Unified Model for Crystalline Material Generation. 6031-6039 - Junho Lee, Hyeonho Song, Dongjoon Lee, Sundong Kim
Machine Learning Driven Aid Classification for Sustainable Development. 6040-6048 - Zhili Li, Yiqun Xie, Xiaowei Jia:
Confidence-based Self-Corrective Learning: An Application in Height Estimation Using Satellite LiDAR and Imagery. 6049-6057 - Junfan Lin, Yuying Zhu, Lingbo Liu, Yang Liu, Guanbin Li, Liang Lin:
DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback. 6058-6066 - Tong Lin, Tianliang Xu, Amit Zac, Sabina Tomkins:
SUSTAINABLESIGNALS: An AI Approach for Inferring Consumer Product Sustainability. 6067-6075 - Bin Liu, Jiujun He, Ziyuan Li, Xiaoyang Huang, Xiang Zhang, Guosheng Yin:
Interpret ESG Rating's Impact on the Industrial Chain Using Graph Neural Networks. 6076-6084 - Junyi Liu, Dawei Cheng, Changjun Jiang:
Preventing Attacks in Interbank Credit Rating with Selective-aware Graph Neural Network. 6085-6093 - Qinqing Liu, Fei Dou
Customized Positional Encoding to Combine Static and Time-varying Data in Robust Representation Learning for Crop Yield Prediction. 6094-6102 - Xingyu Lu, Zhining Liu, Yanchu Guan, Hongxuan Zhang, Chenyi Zhuang, Wenqi Ma, Yize Tan, Jinjie Gu, Guannan Zhang:
GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System. 6103-6111 - Dixin Luo, Haoran Cheng, Qingbin Li, Hongteng Xu:
Coupled Point Process-based Sequence Modeling for Privacy-preserving Network Alignment. 6112-6120 - Dixin Luo, Tingting Yu, Hongteng Xu:
Group Sparse Optimal Transport for Sparse Process Flexibility Design. 6121-6129 - Wenjun Lyu, Haotian Wang, Yiwei Song, Yunhuai Liu, Tian He, Desheng Zhang:
A Prediction-and-Scheduling Framework for Efficient Order Transfer in Logistics. 6130-6137 - Jiacheng Ma, Fan Li, Rui Zhang, Zhikang Xu, Dawei Cheng, Yi Ouyang, Ruihui Zhao, Jianguang Zheng, Yefeng Zheng, Changjun Jiang:
Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network. 6138-6146 - Anh L. Mai, Nikunj Gupta, Azza Abouzied, Dennis E. Shasha:
Planning Multiple Epidemic Interventions with Reinforcement Learning. 6147-6155 - Piyush Singh Pasi, Karthikeya Battepati, Preethi Jyothi, Ganesh Ramakrishnan, Tanmay Mahapatra, Manoj Singh:
Temporally Aligning Long Audio Interviews with Questions: A Case Study in Multimodal Data Integration. 6156-6164 - Markus B. Pettersson, Mohammad Kakooei, Julia Ortheden, Fredrik D. Johansson, Adel Daoud:
Time Series of Satellite Imagery Improve Deep Learning Estimates of Neighborhood-Level Poverty in Africa. 6165-6173 - Claudio S. Pinhanez, Paulo R. Cavalin, Marisa Vasconcelos, Julio Nogima:
Balancing Social Impact, Opportunities, and Ethical Constraints of Using AI in the Documentation and Vitalization of Indigenous Languages. 6174-6182 - Priyanshu Priya, Kshitij Mishra, Palak Totala, Asif Ekbal:
PARTNER: A Persuasive Mental Health and Legal Counselling Dialogue System for Women and Children Crime Victims. 6183-6191 - Xinghua Qu, Xiang Yin, Pengfei Wei, Lu Lu, Zejun Ma:
AudioQR: Deep Neural Audio Watermarks For QR Code. 6192-6200 - Soumyendu Sarkar, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ashwin Ramesh Babu, Avisek Naug, Alexandre Pichard, Mathieu Cocho:
Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves. 6201-6209 - Gopendra Vikram Singh, Soumitra Ghosh, Asif Ekbal:
Promoting Gender Equality through Gender-biased Language Analysis in Social Media. 6210-6218 - Nicolò Tamagnone, Selim Fekih, Ximena Contla, Nayid Orozco, Navid Rekabsaz:
Leveraging Domain Knowledge for Inclusive and Bias-aware Humanitarian Response Entry Classification. 6219-6227 - Ran Tao, Pan Zhao
Optimizing Crop Management with Reinforcement Learning and Imitation Learning. 6228-6236 - Elias Z. Tragos, Diarmuid O'Reilly-Morgan, James Geraci, Bichen Shi, Barry Smyth, Cailbhe Doherty
Keeping People Active and Healthy at Home Using a Reinforcement Learning-based Fitness Recommendation Framework. 6237-6245 - Apoorva Upadhyaya, Marco Fisichella, Wolfgang Nejdl:
Intensity-Valued Emotions Help Stance Detection of Climate Change Twitter Data. 6246-6254 - Han Wang, Ming Shan Hee, Md. Rabiul Awal, Kenny Tsu Wei Choo, Roy Ka-Wei Lee:
Evaluating GPT-3 Generated Explanations for Hateful Content Moderation. 6255-6263 - Shiyu Wang
Full Scaling Automation for Sustainable Development of Green Data Centers. 6264-6271 - Kaiming Xiao, Haiwen Chen, Hongbin Huang, Lihua Liu, Jibing Wu:
A Quantitative Game-theoretical Study on Externalities of Long-lasting Humanitarian Relief Operations in Conflict Areas. 6272-6280 - Lu Yu, Malvina Nikandrou, Jiali Jin, Verena Rieser:
Quality-agnostic Image Captioning to Safely Assist People with Vision Impairment. 6281-6289 - Qingcheng Zeng, Lucas Garay, Peilin Zhou, Dading Chong, Yining Hua, Jiageng Wu, Yikang Pan, Han Zhou, Rob Voigt, Jie Yang:
GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No Cost. 6290-6298 - Ting Zhang, Zhuang Chen, Ming Zhong
Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing. 6299-6307 - Yang Zhang, Lingbo Liu, Xinyu Xiong
Long-term Wind Power Forecasting with Hierarchical Spatial-Temporal Transformer. 6308-6316 - Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Na Wei, Dong Wang:
On Optimizing Model Generality in AI-based Disaster Damage Assessment: A Subjective Logic-driven Crowd-AI Hybrid Learning Approach. 6317-6325 - Zhaonian Zhang
User-Centric Democratization towards Social Value Aligned Medical AI Services. 6326-6334 - Louis Zigrand
Optimization-driven Demand Prediction Framework for Suburban Dynamic Demand-Responsive Transport Systems. 6335-6342
AI for Good - Projects
Uncertainty in AI
- Kshitiz, Sonu Shreshtha, Ramy Mounir, Mayank Vatsa, Richa Singh, Saket Anand, Sudeep Sarkar, Sevaram Mali Parihar:
Long-term Monitoring of Bird Flocks in the Wild. 6344-6352 - Yasmeena Akhter, Rishabh Ranjan, Richa Singh, Mayank Vatsa, Santanu Chaudhury:
On AI-Assisted Pneumoconiosis Detection from Chest X-rays. 6353-6361 - Bushra Ibnauf, Mohammed Aboul Ezz, Ayman Abdel Aziz, Khalid Elgazzar, Mennatullah Siam:
AI-Assisted Tool for Early Diagnosis and Prevention of Colorectal Cancer in Africa. 6362-6369 - Dimitri Justeau-Allaire
AI and Decision Support for Sustainable Socio-Ecosystems. 6370-6377 - Misaal Khan, Shivang Agarwal, Mayank Vatsa, Richa Singh, Kuldeep Singh:
NutriAI: AI-Powered Child Malnutrition Assessment in Low-Resource Environments. 6378-6385 - Atharva Kulkarni, Raya Das, Ravi S. Srivastava, Tanmoy Chakraborty:
Learning and Reasoning Multifaceted and Longitudinal Data for Poverty Estimates and Livelihood Capabilities of Lagged Regions in Rural India. 6386-6394 - Ifeoma Nwogu, Roshan L. Peiris, Karthik Dantu, Ruchi Gamta, Emma Asonye:
AI-Driven Sign Language Interpretation for Nigerian Children at Home. 6395-6404 - Thiago S. Gouvêa, Hannes Kath, Ilira Troshani, Bengt Lüers
Interactive Machine Learning Solutions for Acoustic Monitoring of Animal Wildlife in Biosphere Reserves. 6405-6413
Sister Conferences Best Papers
Uncertainty in AI
- Jialu Bao, Nitesh Trivedi, Drashti Pathak, Justin Hsu, Subhajit Roy:
Data-Driven Invariant Learning for Probabilistic Programs (Extended Abstract). 6415-6419 - Patricia Bouyer, Antonio Casares, Mickael Randour, Pierre Vandenhove:
Half-Positional Objectives Recognized by Deterministic Büchi Automata (Extended Abstract). 6420-6425 - Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier:
Online Certification of Preference-Based Fairness for Personalized Recommender Systems (Extended Abstract). 6426-6430 - Francesco Fabbri, Yanhao Wang
Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways (Extended Abstract). 6431-6435 - Stephan Gocht, Ruben Martins, Jakob Nordström, Andy Oertel
Certified CNF Translations for Pseudo-Boolean Solving (Extended Abstract). 6436-6441 - Víctor Gutiérrez-Basulto, Albert Gutowski, Yazmín Ibáñez-García, Filip Murlak:
Finite Entailment of UCRPQs over ALC Ontologies (Extended Abstract). 6442-6446 - Matthias Lanzinger, Stefano Sferrazza, Georg Gottlob:
MV-Datalog+/-: Effective Rule-based Reasoning with Uncertain Observations (Extended Abstract). 6447-6451 - Sander J. J. Leemans, Fabrizio Maria Maggi, Marco Montali:
Finite-Trace Analysis of Stochastic Systems with Silent Transitions (Extended Abstract). 6452-6457 - Siting Liu, Yuan Pu, Peiyu Liao, Hongzhong Wu, Rui Zhang, Zhitang Chen, Wenlong Lv, Yibo Lin, Bei Yu:
FastGR: Global Routing on CPU-GPU with Heterogeneous Task Graph Scheduler (Extended Abstract). 6458-6462 - Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan:
Learning Causal Effects on Hypergraphs (Extended Abstract). 6463-6467 - Annie Marsden, Vatsal Sharan, Aaron Sidford, Gregory Valiant:
Efficient Convex Optimization Requires Superlinear Memory (Extended Abstract). 6468-6473 - Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani:
Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge (Extended Abstract). 6474-6479 - Jingshu Peng, Zhao Chen, Yingxia Shao, Yanyan Shen, Lei Chen, Jiannong Cao:
Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks (Extended Abstract). 6480-6485 - Avishkar Saha, Oscar Mendez, Chris Russell, Richard Bowden:
Translating Images into Maps (Extended Abstract). 6486-6491 - Dario Simionato, Fabio Vandin:
Bounding the Family-Wise Error Rate in Local Causal Discovery Using Rademacher Averages (Extended Abstract). 6492-6497 - Zhilu Wang, Chao Huang, Qi Zhu:
Efficient Global Robustness Certification of Neural Networks via Interleaving Twin-Network Encoding (Extended Abstract). 6498-6503 - Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract). 6504-6508 - Yao Zhang, Xiuzhen Zhang, Dengji Zhao:
Task Allocation on Networks with Execution Uncertainty (Extended Abstract)∗. 6509-6513 - Zheng Zhang, Liang Zhao:
Unsupervised Deep Subgraph Anomaly Detection (Extended Abstract). 6514-6518 - Honglu Zhou, Advith Chegu, Samuel S. Sohn, Zuohui Fu, Gerard de Melo, Mubbasir Kapadia:
Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning. 6519-6524
Survey Track
Uncertainty in AI
- Saugat Aryal, Mark T. Keane:
Even If Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI. 6526-6535 - Ruth M. J. Byrne:
Good Explanations in Explainable Artificial Intelligence (XAI): Evidence from Human Explanatory Reasoning. 6536-6544 - Borui Cai, Yong Xiang, Longxiang Gao, He Zhang, Yunfeng Li, Jianxin Li:
Temporal Knowledge Graph Completion: A Survey. 6545-6553 - Roberta Calegari, Gabriel G. Castañé, Michela Milano, Barry O'Sullivan:
Assessing and Enforcing Fairness in the AI Lifecycle. 6554-6562 - David M. Cerna
Anti-unification and Generalization: A Survey. 6563-6573 - Mingyang Chen, Wen Zhang, Yuxia Geng, Zezhong Xu, Jeff Z. Pan, Huajun Chen:
Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs. 6574-6582 - Yang Deng, Wenqiang Lei, Wai Lam, Tat-Seng Chua:
A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects. 6583-6591 - Arnaud Deza, Elias B. Khalil:
Machine Learning for Cutting Planes in Integer Programming: A Survey. 6592-6600 - Boi Faltings:
Game-theoretic Mechanisms for Eliciting Accurate Information. 6601-6609 - Jiahui Geng, Zongxiong Chen, Yuandou Wang, Herbert Woisetschlaeger
A Survey on Dataset Distillation: Approaches, Applications and Future Directions. 6610-6618 - Usman Gohar
A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges. 6619-6627 - Nuwan Gunasekara
Survey on Online Streaming Continual Learning. 6628-6637 - Zhichun Guo, Kehan Guo, Bozhao Nan, Yijun Tian, Roshni G. Iyer, Yihong Ma, Olaf Wiest, Xiangliang Zhang, Wei Wang, Chuxu Zhang, Nitesh V. Chawla:
Graph-based Molecular Representation Learning. 6638-6646 - Yi He
Towards Utilitarian Online Learning - A Review of Online Algorithms in Open Feature Space. 6647-6655 - Zhicheng He, Weiwen Liu
A Survey on User Behavior Modeling in Recommender Systems. 6656-6664 - Phuong Quynh Le, Meike Nauta, Van Bach Nguyen, Shreyasi Pathak, Jörg Schlötterer, Christin Seifert:
Benchmarking eXplainable AI - A Survey on Available Toolkits and Open Challenges. 6665-6673 - Haoyang Li, Xin Wang, Wenwu Zhu:
Curriculum Graph Machine Learning: A Survey. 6674-6682 - Xinzhe Li, Ming Liu, Shang Gao, Wray L. Buntine
A Survey on Out-of-Distribution Evaluation of Neural NLP Models. 6683-6691 - Yifan Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen:
Diffusion Models for Non-autoregressive Text Generation: A Survey. 6692-6701 - Chengyi Liu, Wenqi Fan, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li:
Generative Diffusion Models on Graphs: Methods and Applications. 6702-6711 - Chuang Liu, Yibing Zhan, Jia Wu
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities. 6712-6722 - Ziqiao Meng, Peilin Zhao, Yang Yu
A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges. 6723-6731 - Trung Thanh Nguyen, Jörg Rothe:
Complexity Results and Exact Algorithms for Fair Division of Indivisible Items: A Survey. 6732-6740 - Zuzanna Osika, Jazmin Zatarain Salazar
What Lies beyond the Pareto Front? A Survey on Decision-Support Methods for Multi-Objective Optimization. 6741-6749 - Rishabh Ranjan
Uncovering the Deceptions: An Analysis on Audio Spoofing Detection and Future Prospects. 6750-6758 - Oren Salzman, Ariel Felner, Carlos Hernández, Han Zhang, Shao-Hung Chan, Sven Koenig:
Heuristic-Search Approaches for the Multi-Objective Shortest-Path Problem: Progress and Research Opportunities. 6759-6768 - Behnaz Soltani, Yipeng Zhou
A Survey of Federated Evaluation in Federated Learning. 6769-6777 - Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun:
Transformers in Time Series: A Survey. 6778-6786 - Jun Xia, Yanqiao Zhu
A Systematic Survey of Chemical Pre-trained Models. 6787-6795 - Chen Xu, Rong Ye, Qianqian Dong, Chengqi Zhao, Tom Ko, Mingxuan Wang, Tong Xiao
Recent Advances in Direct Speech-to-text Translation. 6796-6804 - Chaoning Zhang, Chenshuang Zhang, Junha Song, John Seon Keun Yi, In So Kweon:
A Survey on Masked Autoencoder for Visual Self-supervised Learning. 6805-6813 - Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu:
State-wise Safe Reinforcement Learning: A Survey. 6814-6822 - Bohan Zhuang, Jing Liu, Zizheng Pan, Haoyu He, Yuetian Weng, Chunhua Shen:
A Survey on Efficient Training of Transformers. 6823-6831
Journal Track
Uncertainty in AI
- Özgür Akgün
Conjure: Automatic Generation of Constraint Models from Problem Specifications (Extended Abstract). 6833-6838 - Charles K. Assaad
Survey and Evaluation of Causal Discovery Methods for Time Series (Extended Abstract). 6839-6844 - Taha Belkhouja, Janardhan Rao Doppa:
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features (Extended Abstract). 6845-6850 - Miquel Bofill
Constraint Solving Approaches to the Business-to-Business Meeting Scheduling Problem (Extended Abstract). 6851-6852 - Miquel Bofill
SAT Encodings for Pseudo-Boolean Constraints Together With At-Most-One Constraints (Extended Abstract). 6853-6857 - Piero A. Bonatti:
A False Sense of Security (Extended Abstract). 6858-6859 - Piero A. Bonatti, Iliana M. Petrova, Luigi Sauro:
Optimizing the Computation of Overriding in DLN (Extended Abstract). 6860-6862 - Radu Ciucanu, Pascal Lafourcade, Gaël Marcadet, Marta Soare:
SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits (Extended Abstract). 6863-6867 - Davide Dell'Anna, Natasha Alechina
Data-Driven Revision of Conditional Norms in Multi-Agent Systems (Extended Abstract). 6868-6872 - Radwa El Shawi, Mouaz H. Al-Mallah:
Interpretable Local Concept-based Explanation with Human Feedback to Predict All-cause Mortality (Extended Abstract). 6873-6877 - Jonathan Francis, Nariaki Kitamura, Felix Labelle, Xiaopeng Lu, Ingrid Navarro, Jean Oh:
Core Challenges in Embodied Vision-Language Planning (Extended Abstract). 6878-6883 - Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley:
Multi-Agent Advisor Q-Learning (Extended Abstract). 6884-6889 - Evana Gizzi, Lakshmi Nair, Sonia Chernova, Jivko Sinapov:
Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework (Extended Abstract). 6890-6893 - Hadi Hosseini, Andrew Searns, Erel Segal-Halevi:
Ordinal Maximin Share Approximation for Goods (Extended Abstract). 6894-6899 - Yacine Izza, Alexey Ignatiev, João Marques-Silva:
On Tackling Explanation Redundancy in Decision Trees (Extended Abstract). 6900-6904 - Rana Tallal Javed, Osama Nasir, Melania Borit, Loïs Vanhée, Elias Zea, Shivam Gupta, Ricardo Vinuesa, Junaid Qadir:
Get Out of the BAG! Silos in AI Ethics Education: Unsupervised Topic Modeling Analysis of Global AI Curricula (Extended Abstract). 6905-6909 - Junli Jiang
Data-Informed Knowledge and Strategies (Extended Abstract). 6910-6914 - Kebing Jin, Hankz Hankui Zhuo, Zhanhao Xiao, Hai Wan, Subbarao Kambhampati:
Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters (Extended Abstract). 6915-6919 - Vojtech Kovarík, Martin Schmid, Neil Burch, Michael Bowling, Viliam Lisý:
Rethinking Formal Models of Partially Observable Multiagent Decision Making (Extended Abstract). 6920-6924 - Xiaoteng Ma, Shuai Ma, Li Xia, Qianchuan Zhao:
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning (Extended Abstract). 6925-6930 - Farhad Mohsin, Ao Liu, Pin-Yu Chen, Francesca Rossi, Lirong Xia:
Learning to Design Fair and Private Voting Rules (Extended Abstract). 6931-6936 - Nieves Montes, Nardine Osman, Carles Sierra:
A Computational Model of Ostrom's Institutional Analysis and Development Framework (Extended Abstract). 6937-6941 - Matthieu Py, Mohamed Sami Cherif, Djamal Habet:
Proofs and Certificates for Max-SAT (Extended Abstract). 6942-6947 - Eugénio Ribeiro
Automatic Recognition of the General-Purpose Communicative Functions Defined by the ISO 24617-2 Standard for Dialog Act Annotation (Extended Abstract). 6948-6953 - Patrick Rodler:
Memory-Limited Model-Based Diagnosis (Extended Abstract). 6954-6958 - Loris Roveda, Andrea Testa, Asad Ali Shahid, Francesco Braghin, Dario Piga:
Q-Learning-Based Model Predictive Variable Impedance Control for Physical Human-Robot Collaboration (Extended Abstract). 6959-6963 - Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney:
A Survey of Methods for Automated Algorithm Configuration (Extended Abstract). 6964-6968 - Daniel Strawser, Brian Williams:
Motion Planning Under Uncertainty with Complex Agents and Environments via Hybrid Search (Extended Abstract). 6969-6973 - Efthimis Tsilionis, Alexander Artikis, Georgios Paliouras:
Incremental Event Calculus for Run-Time Reasoning (Extended Abstract). 6974-6978 - Loïs Vanhée, Melania Borit:
Ethical By Designer - How to Grow Ethical Designers of Artificial Intelligence (Extended Abstract). 6979-6984 - Stylianos Loukas Vasileiou, William Yeoh, Son Tran, Ashwin Kumar, Michael Cashmore, Daniele Magazzeni:
A Logic-based Explanation Generation Framework for Classical and Hybrid Planning Problems (Extended Abstract). 6985-6989 - Enpeng Yuan, Wenbo Chen, Pascal Van Hentenryck:
Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation (Extended Abstract). 6990-6994 - Zhiyuan Zeng, Deyi Xiong:
Unsupervised and Few-Shot Parsing from Pretrained Language Models (Extended Abstract). 6995-7000 - Andrey Zhitnikov, Vadim Indelman:
Simplified Risk-aware Decision Making with Belief-dependent Rewards in Partially Observable Domains (Extended Abstract). 7001-7005
Early Career
Uncertainty in AI
- Aylin Caliskan:
Artificial Intelligence, Bias, and Ethics. 7007-7013 - Panagiotis Kouvaros:
Towards Formal Verification of Neuro-symbolic Multi-agent Systems. 7014-7019 - Ondrej Kuzelka:
Counting and Sampling Models in First-Order Logic. 7020-7025 - Yang Liu:
The Importance of Human-Labeled Data in the Era of LLMs. 7026-7032 - Lingjuan Lyu:
A Pathway Towards Responsible AI Generated Content. 7033-7038 - Oren Salzman:
Algorithmic Motion Planning Meets Minimially-Invasive Robotic Surgery. 7039-7044 - Enrico Scala:
AI Planning for Hybrid Systems. 7045-7050 - Nisarg Shah:
Pushing the Limits of Fairness in Algorithmic Decision-Making. 7051-7056 - Haifeng Xu:
The Economics of Machine Learning. 7057-7061 - Weinan Zhang:
Large Decision Models. 7062-7067
Doctoral Consortium
Uncertainty in AI
- Shiri Alouf-Heffetz
Using Liquid Democracy For Attention-Aware Social Choice. 7069-7070 - Zahra Atashgahi:
Cost-effective Artificial Neural Networks. 7071-7072 - Clayton K. Baker:
Predictive Modelling of Human Reasoning Using AGM Belief Revision. 7073-7074 - Saumya Bhatnagar:
AI Techniques for Urban Traffic Control and Mobility. 7075-7076 - Sapana Chaudhary:
On Adaptivity and Safety in Sequential Decision Making. 7077-7078 - Julian Chingoma:
Fairness and Stability in Complex Domains. 7079-7080 - Quentin Elsaesser:
Sources and Information Reliability Measures. 7081-7082 - Bishwamittra Ghosh:
Interpretability and Fairness in Machine Learning: A Formal Methods Approach. 7083-7084 - Chihcheng Hsieh:
Human-Centred Multimodal Deep Learning Models for Chest X-Ray Diagnosis. 7085-7086 - Ankan Mullick:
Exploring Multilingual Intent Dynamics and Applications. 7087-7088 - Neil Natarajan:
Human-AI Collaboration in Recruitment and Selection. 7089-7090 - Fabrizio Russo:
Argumentation for Interactive Causal Discovery. 7091-7092 - Naman Shah:
Reliable Neuro-Symbolic Abstractions for Planning and Learning. 7093-7094 - Solat J. Sheikh:
On Building a Semi-Automated Framework for Generating Causal Bayesian Networks from Raw Text. 7095-7096 - Veronika Solopova:
Automated Content Moderation Using Transparent Solutions and Linguistic Expertise. 7097-7098 - Pulkit Verma:
Sample Efficient Paradigms for Personalized Assessment of Taskable AI Systems. 7099-7100 - Jeremy Vollen:
A Framework for Participatory Budgeting with Resource Pooling. 7101-7102 - Xiaowei Zhao:
Object Detection in Real Open Environment. 7103-7104
Demo Track
Uncertainty in AI
- Ibrahim Abdelaziz, Julian Dolby, Udayan Khurana, Horst Samulowitz, Kavitha Srinivas:
SemFORMS: Automatic Generation of Semantic Transforms By Mining Data Science Code. 7106-7109 - Joachim Baumann, Alessandro Castelnovo, Andrea Cosentini, Riccardo Crupi, Nicole Inverardi, Daniele Regoli:
Bias On Demand: Investigating Bias with a Synthetic Data Generator. 7110-7114 - Anuradha Bhamidipaty, Elham Khabiri, Bhavna Agrawal, Yingjie Li:
SiWare: Contextual Understanding of Industrial Data for Situational Awareness. 7115-7118 - Saumya Bhatnagar, Rongge Guo, Keith McCabe, Thomas L. McCluskey, Francesco Percassi, Mauro Vallati
Automated Planning for Generating and Simulating Traffic Signal Strategies. 7119-7122 - Victor David, Raphaël Fournier-S'niehotta, Nicolas Travers
NeoMaPy: A Framework for Computing MAP Inference on Temporal Knowledge Graphs. 7123-7126 - Daniel Geißler, Bo Zhou, Paul Lukowicz:
Latent Inspector: An Interactive Tool for Probing Neural Network Behaviors Through Arbitrary Latent Activation. 7127-7130 - Jakob Hederich, Shreya Ghosh, Zeyu He, Prasenjit Mitra:
Understanding the Night-Sky? Developing AI-Enabled System for Exploring Night-Light Usage Patterns. 7131-7134 - Wojciech Jamroga, Yan Kim:
Practical Model Reductions for Verification of Multi-Agent Systems. 7135-7139 - Hannes Kath, Thiago S. Gouvêa, Daniel Sonntag:
A Human-in-the-Loop Tool for Annotating Passive Acoustic Monitoring Datasets. 7140-7144 - Astrid Klipfel, Yaël Frégier, Adlane Sayede, Zied Bouraoui:
Optimized Crystallographic Graph Generation for Material Science. 7145-7148 - Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf:
SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning. 7149-7153 - Enrique Tomás Martínez Beltrán, Pedro Miguel Sánchez Sánchez, Sergio López Bernal, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán:
Fedstellar: A Platform for Training Models in a Privacy-preserving and Decentralized Fashion. 7154-7157 - Vishal Pallagani, Bharath Muppasani, Biplav Srivastava, Francesca Rossi, Lior Horesh, Keerthiram Murugesan, Andrea Loreggia, Francesco Fabiano, Rony Joseph, Yathin Kethepalli:
Plansformer Tool: Demonstrating Generation of Symbolic Plans Using Transformers. 7158-7162 - Yao Qiu, Jinchao Zhang, Huiying Ren, Yong Shan, Jie Zhou:
Humming2Music: Being A Composer As Long As You Can Humming. 7163-7166 - Sowmith Nandan Rachuri, Arpitha Malavalli, Niharika Sri Parasa, Pooja Bassin
Modeling the Impact of Policy Interventions for Sustainable Development. 7167-7170 - Yong Shan, Jinchao Zhang, Huiying Ren, Yao Qiu, Jie Zhou:
LingGe: An Automatic Ancient Chinese Poem-to-Song Generation System. 7171-7174 - Prabhant Singh, Joaquin Vanschoren:
AutoML for Outlier Detection with Optimal Transport Distances. 7175-7178 - Yipeng Yu, Xiao Chen, Hui Zhan:
VideoMaster: A Multimodal Micro Game Video Recreator. 7179-7182 - Yanhao Zhang, Fanyi Wang, Weixuan Sun, Jingwen Su, Peng Liu, Yaqian Li, Xinjie Feng, Zhengxia Zou:
Matting Moments: A Unified Data-Driven Matting Engine for Mobile AIGC in Photo Gallery. 7183-7186 - Xueyi Zhou, Yohan Na, Minju Bang, Dong-Kyu Chae:
IMPsys: An Intelligent Mold Processing System for Smart Factory. 7187-7190
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