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21st ICDM 2021: Auckland, New Zealand
- James Bailey, Pauli Miettinen, Yun Sing Koh, Dacheng Tao, Xindong Wu:
IEEE International Conference on Data Mining, ICDM 2021, Auckland, New Zealand, December 7-10, 2021. IEEE 2021, ISBN 978-1-6654-2398-4 - Francesco Alesiani
, Shujian Yu, Xi Yu
Gated Information Bottleneck for Generalization in Sequential Environments. 1-10 - Tianshu Bao, Xiaowei Jia, Jacob Zwart, Jeffrey M. Sadler
Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature. 11-20 - Lodewijk Brand, Lauren Zoe Baker, Carla Ellefsen, Jackson Sargent, Hua Wang:
A Linear Primal-Dual Multi-Instance SVM for Big Data Classifications. 21-30 - Wennan Chang, Pengdao Dang, Changlin Wan, Xiaoyu Lu, Yue Fang, Tong Zhao, Yong Zang, Bo Li, Chi Zhang, Sha Cao
Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence. 31-40 - Huiping Chen
Differentially Private String Sanitization for Frequency-Based Mining Tasks. 41-50 - Mingyue Cheng
Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training. 51-60 - Eli Chien, Chao Pan, Puoya Tabaghi, Olgica Milenkovic:
Highly Scalable and Provably Accurate Classification in Poincaré Balls. 61-70 - Rob Churchill, Lisa Singh:
Topic-Noise Models: Modeling Topic and Noise Distributions in Social Media Post Collections. 71-80 - Noy Cohen-Shapira, Lior Rokach:
TRIO: Task-agnostic dataset representation optimized for automatic algorithm selection. 81-90 - Cazamere Comrie, Jon M. Kleinberg:
Hypergraph Ego-networks and Their Temporal Evolution. 91-100 - Manqing Dong
MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning. 101-110 - Xingcheng Fu
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. 111-120 - Yangcheng Gao, Zhao Zhang
Dictionary Pair-based Data-Free Fast Deep Neural Network Compression. 121-130 - Yuyang Gao, Tong Steven Sun, Rishab Bhatt
GNES: Learning to Explain Graph Neural Networks. 131-140 - Andrey Gritsenko, Yuan Guo, Kimia Shayestehfard, Armin Moharrer, Jennifer G. Dy, Stratis Ioannidis
Graph Transfer Learning. 141-150 - Bin Gu, Zhou Zhai, Xiang Li, Heng Huang:
Finding Age Path of Self-Paced Learning. 151-160 - Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff:
Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions. 161-170 - Ido Hakimi, Rotem Zamir Aviv, Kfir Y. Levy
LAGA: Lagged AllReduce with Gradient Accumulation for Minimal Idle Time. 171-180 - Yishuo Zhang, Nayyar Abbas Zaidi, Jiahui Zhou, Gang Li:
GANBLR: A Tabular Data Generation Model. 181-190 - Yi He
Online Learning in Variable Feature Spaces with Mixed Data. 181-190 - Yilin Hou, Guangming Zhao, Chuanren Liu
Conversion Prediction with Delayed Feedback: A Multi-task Learning Approach. 191-199 - Chen Huang, Liangxu Pan, Qinli Yang, Hongliang Wang, Junming Shao:
Flexible, Robust, Scalable Semi-supervised Learning via Reliability Propagation. 200-209 - Jie Huang, Qi Liu, Fei Wang, Zhenya Huang, Songtao Fang, Runze Wu, Enhong Chen, Yu Su, Shijin Wang:
Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective. 210-219 - Ye Huang, Wei Huang
STAN: Adversarial Network for Cross-domain Question Difficulty Prediction. 220-229 - Jeehyun Hwang
Climate Modeling with Neural Diffusion Equations. 230-239 - Hankyu Jang, Shreyas Pai
Risk-aware Temporal Cascade Reconstruction to Detect Asymptomatic Cases : For the CDC MInD Healthcare Network. 240-249 - Sheo Yon Jhin, Heejoo Shin, Seoyoung Hong, Minju Jo, Solhee Park, Noseong Park, Seungbeom Lee, Hwiyoung Maeng, Seungmin Jeon:
Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting. 250-259 - Renqi Jia, Xiaofei Zhou
Hypergraph Convolutional Network for Group Recommendation. 260-269 - Xiaowei Jia, Yiqun Xie, Sheng Li
Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems. 270-279 - Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren
Crowdsourcing with Self-paced Workers. 280-289 - Yun-Yong Ko
MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems. 290-299 - Yuandu Lai, Yahong Han, Yaowei Wang:
Anomaly Detection with Prototype-Guided Discriminative Latent Embeddings. 300-309 - Geon Lee, Kijung Shin:
THyMe+: Temporal Hypergraph Motifs and Fast Algorithms for Exact Counting. 310-319 - Xiaoyu Li, Chen Li, Yuhua Wei, Yuyao Sun, Jishang Wei, Xiang Li, Buyue Qian:
BaT: Beat-aligned Transformer for Electrocardiogram Classification. 320-329 - Xujia Li, Yanyan Shen, Lei Chen:
Mcore: Multi-Agent Collaborative Learning for Knowledge-Graph-Enhanced Recommendation. 330-339 - Yang Li, Xianli Zhang, Buyue Qian, Zeyu Gao
Towards Interpretability and Personalization: A Predictive Framework for Clinical Time-series Analysis. 340-349 - Yunchuan Li, Yan Zhao, Kai Zheng:
Preference-aware Group Task Assignment in Spatial Crowdsourcing: A Mutual Information-based Approach. 350-359 - Xixun Lin, Jiangxia Cao, Peng Zhang, Chuan Zhou, Zhao Li
Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences. 360-369 - Yang Lin
SSDNet: State Space Decomposition Neural Network for Time Series Forecasting. 370-378 - Chen Ling, Carl Yang, Liang Zhao:
Deep Generation of Heterogeneous Networks. 379-388 - Huijie Liu, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Qi Liu, Enhong Chen:
Technological Knowledge Flow Forecasting through A Hierarchical Interactive Graph Neural Network. 389-398 - Kunpeng Liu
Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy. 399-408 - Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie:
Multi-objective Explanations of GNN Predictions. 409-418 - Tomas Martin, Petko Valtchev, Louis-Romain Roux:
FGC-Stream: A novel joint miner for frequent generators and closed itemsets in data streams. 419-428 - Md. Parvez Mollah
Multi-way Time Series Join on Multi-length Patterns. 429-438 - Mehrnaz Najafi, Lifang He, Philip S. Yu:
Outlier-Robust Multi-View Subspace Clustering with Prior Constraints. 439-448 - Shuai Niu, Qing Yin, Yunya Song, Yike Guo, Xian Yang:
Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records. 449-458 - Bastian Oetomo, R. Malinga Perera, Renata Borovica-Gajic
Cutting to the Chase with Warm-Start Contextual Bandits. 459-468 - Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li:
Towards Generating Real-World Time Series Data. 469-478 - Jingshu Peng, Yanyan Shen, Lei Chen:
GraphANGEL: Adaptive aNd Structure-Aware Sampling on Graph NEuraL Networks. 479-488 - Xueping Peng
Sequential Diagnosis Prediction with Transformer and Ontological Representation. 489-498 - Thai-Hoang Pham
Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning. 499-508 - Gaël Poux-Médard
Powered Hawkes-Dirichlet Process: Challenging Textual Clustering using a Flexible Temporal Prior. 509-518 - Ruihong Qiu
Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation. 519-528 - Jiahuan Ren, Zhao Zhang
Robust Low-rank Deep Feature Recovery in CNNs: Toward Low Information Loss and Fast Convergence. 529-538 - Nasim Sabetpour, Adithya Kulkarni, Sihong Xie, Qi Li
Truth Discovery in Sequence Labels from Crowds. 539-548 - Dhruv Sahnan, Snehil Dahiya, Vasu Goel, Anil Bandhakavi, Tanmoy Chakraborty
Better Prevent than React: Deep Stratified Learning to Predict Hate Intensity of Twitter Reply Chains. 549-558 - Saurabh Sawlani, Lingxiao Zhao, Leman Akoglu:
Fast Attributed Graph Embedding via Density of States. 559-568 - Dev Yashpal Sheth, Arun Rajkumar:
PARWiS: Winner determination from Active Pairwise Comparisons under a Shoestring Budget. 569-578 - Tongtong Su, Qiyu Liang, Jinsong Zhang, Zhaoyang Yu, Gang Wang, Xiaoguang Liu:
Attention-based Feature Interaction for Efficient Online Knowledge Distillation. 579-588 - Chang Wei Tan
Ultra fast warping window optimization for Dynamic Time Warping. 589-598 - Qiao Tang, Hong Xie:
A Robust Algorithm to Unifying Offline Causal Inference and Online Multi-armed Bandit Learning. 599-608 - Nikolaj Tatti
Fast computation of distance-generalized cores using sampling. 609-618 - Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Hang Zhang:
Isolation Kernel Density Estimation. 619-628 - Joshua Tobin
DCF: An Efficient and Robust Density-Based Clustering Method. 629-638 - Andrea Tonon
CASPITA: Mining Statistically Significant Paths in Time Series Data from an Unknown Network. 639-648 - Amin Vahedian, Xun Zhou:
Precise Bayes Classifier: Summary of Results. 649-658 - Arthur Vervaet, Raja Chiky, Mar Callau-Zori:
USTEP: Unfixed Search Tree for Efficient Log Parsing. 659-668 - Dingrong Wang
Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval. 669-678 - Dongjie Wang, Kunpeng Liu, Pauline Johnson, Leilei Sun, Bowen Du, Yanjie Fu:
Deep Human-guided Conditional Variational Generative Modeling for Automated Urban Planning. 679-688 - Lu Wang, Yan Li, Mark H. Chignell:
Combining Ranking and Point-wise Losses for Training Deep Survival Analysis Models. 689-698 - Xuesong Wang, Lina Yao, Xianzhi Wang
Global Convolutional Neural Processes. 699-708 - Wenjuan Wei, Lu Feng:
Nonlinear Causal Structure Learning for Mixed Data. 709-718 - Yuhua Wei, Xiaoyu Li, Jishang Wei, Buyue Qian, Chen Li:
Learning to Reweight Samples with Offline Loss Sequence. 719-728 - Jing Wen, Bi-Yi Chen, Chang-Dong Wang, Zhihong Tian:
PRGAN: Personalized Recommendation with Conditional Generative Adversarial Networks. 729-738 - Asiri Wijesinghe, Qing Wang
A Regularized Wasserstein Framework for Graph Kernels. 739-748 - Di Wu, Cheng Chen, Xiujun Chen, Junwei Pan, Xun Yang, Qing Tan, Jian Xu, Kuang-Chih Lee:
Impression Allocation and Policy Search in Display Advertising. 749-756 - Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang, Yuanchun Zhou:
Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification. 757-766 - Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam:
A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity. 767-776 - Xiao Xu, Xian Xu, Yuyao Sun, Xiaoshuang Liu, Xiang Li, Guotong Xie, Fei Wang:
Predictive Modeling of Clinical Events with Mutual Enhancement Between Longitudinal Patient Records and Medical Knowledge Graph. 777-786 - Haoran Yang
Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation. 787-796 - Peng Yang, Xiaoyun Li, Ping Li:
Graph-based Adversarial Online Kernel Learning with Adaptive Embedding. 797-806 - Shuo Yang, Zeyu Feng, Pei Du, Bo Du, Chang Xu
Structure-Aware Stabilization of Adversarial Robustness with Massive Contrastive Adversaries. 807-816 - Song Yang
Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting. 817-826 - Jaemin Yoo
Accurate Graph-Based PU Learning without Class Prior. 827-836 - Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han:
AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks. 837-846 - Jingyi Yuan, Yang Weng:
Physics Interpretable Shallow-Deep Neural Networks for Physical System Identification with Unobservability. 847-856 - Chengxi Zang
SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records. 857-866 - Ge Zhang
FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance. 867-876 - Jiuling Zhang, Zhiming Ding:
Robustifying DARTS by Eliminating Information Bypass Leakage via Explicit Sparse Regularization. 877-885 - Wenbin Zhang
Fair Decision-making Under Uncertainty. 886-895 - Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Xiwang Yang:
AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations. 896-905 - Xin Zhang, Yanhua Li, Xun Zhou, Oren Mangoubi, Ziming Zhang, Vincent Filardi, Jun Luo:
DAC-ML: Domain Adaptable Continuous Meta-Learning for Urban Dynamics Prediction. 906-915 - Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Carlotta Domeniconi, Lizhen Cui:
Few-Shot Partial Multi-Label Learning. 926-935 - Zhao Zhang
Discriminative Additive Scale Loss for Deep Imbalanced Classification and Embedding. 936-945 - Zhao Zhang
Triplet Deep Subspace Clustering via Self-Supervised Data Augmentation. 946-955 - Zicong Zhang, Changchang Yin, Ping Zhang:
Temporal Clustering with External Memory Network for Disease Progression Modeling. 956-965 - Ziming Zhang, Guojun Wu, Yanhua Li, Yun Yue, Xun Zhou:
Deep Incremental RNN for Learning Sequential Data: A Lyapunov Stable Dynamical System. 966-975 - Futoon M. Abushaqra, Hao Xue
PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series. 976-981 - Muhammad Afif Ali, Suriya Venkatesan, Victor C. Liang, Hannes Kruppa:
TEST-GCN: Topologically Enhanced Spatial-Temporal Graph Convolutional Networks for Traffic Forecasting. 982-987 - Jonathan Amazon, Khurram Shafique, Zeeshan Rasheed, Aaron Reite:
DIVINIA: Rare Object Localization and Search in Overhead Imagery. 988-993 - Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Jonathan Weill, Noam Koenigstein
Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates. 994-999 - Fabian Berns, Jan David Hüwel, Christian Beecks:
LOGIC: Probabilistic Machine Learning for Time Series Classification. 1000-1005 - Arkaitz Bidaurrazaga
K-means for Evolving Data Streams. 1006-1011 - Zerui Cai:
Generating Explanations for Recommendation Systems via Injective VAE. 1012-1017 - Chao Chen, Yifan Shen, Guixiang Ma, Xiangnan Kong, Srinivas Rangarajan, Xi Zhang, Sihong Xie:
Self-learn to Explain Siamese Networks Robustly. 1018-1023 - Shengyu Chen, Alison P. Appling, Samantha Oliver, Hayley Corson-Dosch, Jordan S. Read, Jeffrey M. Sadler
Heterogeneous Stream-reservoir Graph Networks with Data Assimilation. 1024-1029 - Yi-He Chen, Shen-Huan Lyu, Yuan Jiang:
Improving Deep Forest by Exploiting High-order Interactions. 1030-1035 - André Ferreira Cruz
Promoting Fairness through Hyperparameter Optimization. 1036-1041 - Shaojie Dai, Jinshuai Wang, Chao Huang, Yanwei Yu, Junyu Dong:
Temporal Multi-view Graph Convolutional Networks for Citywide Traffic Volume Inference. 1042-1047 - Benjamin Denham, Edmund M.-K. Lai, Roopak Sinha, M. Asif Naeem:
Gain-Some-Lose-Some: Reliable Quantification Under General Dataset Shift. 1048-1053 - Wei Fan, Kunpeng Liu
Fair Graph Auto-Encoder for Unbiased Graph Representations with Wasserstein Distance. 1054-1059 - Yucai Fan, Yuhang Yao, Carlee Joe-Wong:
GCN-SE: Attention as Explainability for Node Classification in Dynamic Graphs. 1060-1065 - Yang Gao, Peng Zhang, Zhao Li
Heterogeneous Graph Neural Architecture Search. 1066-1071 - Michal Tomasz Godziszewski, Tomasz P. Michalak, Marcin Waniek
Attacking Similarity-Based Sign Prediction. 1072-1077 - Hui Guan, Umana Chaudhary, Yuanchao Xu
Recurrent Neural Networks Meet Context-Free Grammar: Two Birds with One Stone. 1078-1083 - Guillaume Guarino, Ahmed Samet, Amir Nafi, Denis Cavallucci:
PaGAN: Generative Adversarial Network for Patent understanding. 1084-1089 - Anne Hartebrodt
Federated Principal Component Analysis for Genome-Wide Association Studies. 1090-1095 - Yuting He, Rongjun Ge, Jiasong Wu, Jean-Louis Coatrieux, Huazhong Shu, Yang Chen, Guanyu Yang, Shuo Li
Thin Semantics Enhancement via High-Frequency Priori Rule for Thin Structures Segmentation. 1096-1101 - Hongsheng Hu
Source Inference Attacks in Federated Learning. 1102-1107 - Ningbo Huang, Gang Zhou, Mengli Zhang, Meng Zhang:
MC-RGCN: A Multi-Channel Recurrent Graph Convolutional Network to Learn High-Order Social Relations for Diffusion Prediction. 1108-1113 - Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku:
Trajectory WaveNet: A Trajectory-Based Model for Traffic Forecasting. 1114-1119 - Makoto Imamura, Takaaki Nakamura:
Spikelet: An Adaptive Symbolic Approximation for Finding Higher-Level Structure in Time Series. 1120-1125 - Roshni G. Iyer, Wei Wang, Yizhou Sun:
Bi-Level Attention Graph Neural Networks. 1126-1131 - Ajay Jaiswal, Tianhao Li, Cyprian Zander, Yan Han, Justin F. Rousseau
SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata. 1132-1137 - Houye Ji, Cheng Yang
Heterogeneous Graph Neural Network with Distance Encoding. 1138-1143 - Pengfei Jiao, Ruili Lu, Di Jin, Yinghui Wang, Huaming Wu:
An Effective and Robust Framework by Modeling Correlations of Multiplex Network Embedding. 1144-1149 - Yoonsuk Kang, Woncheol Lee, Yeon-Chang Lee
Adversarial Learning of Balanced Triangles for Accurate Community Detection on Signed Networks. 1150-1155 - Wenwei Ke, Chuanren Liu
Addressing Exposure Bias in Uplift Modeling for Large-scale Online Advertising. 1156-1161 - Wonjun Ko, Wonsik Jung, Eunjin Jeon, Ahmad Wisnu Mulyadi
ENGINE: Enhancing Neuroimaging and Genetic Information by Neural Embedding. 1162-1167 - Jan Kocon
Learning Personal Human Biases and Representations for Subjective Tasks in Natural Language Processing. 1168-1173 - Preethi Lahoti, Krishna P. Gummadi
Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning. 1174-1179 - Dongha Lee
Learnable Structural Semantic Readout for Graph Classification. 1180-1185 - Dongha Lee
Out-of-Category Document Identification Using Target-Category Names as Weak Supervision. 1186-1191 - Ween Jiann Lee
Robust BiPoly-Matching for Multi-Granular Entities. 1192-1197 - Wen-Zhi Li, Ling Huang, Chang-Dong Wang, Yuxin Ye:
StarGAT: Star-Shaped Hierarchical Graph Attentional Network for Heterogeneous Network Representation Learning. 1198-1203 - Angelica Liguori
Adversarial Regularized Reconstruction for Anomaly Detection and Generation. 1204-1209 - M. Vijaikumar, Deepesh V. Hada, Shirish K. Shevade:
HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List Continuation. 1210-1215 - Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Sivasubramanium Bhavani
Communication Efficient Tensor Factorization for Decentralized Healthcare Networks. 1216-1221 - Marcelo Rodrigues de Holanda Maia
An Ensemble of Naive Bayes Classifiers for Uncertain Categorical Data. 1222-1227 - André Gustavo Maletzke, Denis Moreira dos Reis, Waqar Hassan
Accurately Quantifying under Score Variability. 1228-1233 - João Pedro Rodrigues Mattos, Ricardo M. Marcacini:
Semi-Supervised Graph Attention Networks for Event Representation Learning. 1234-1239 - Ryan Mercer, Sara Alaee, Alireza Abdoli, Shailendra Singh, Amy C. Murillo, Eamonn J. Keogh:
Matrix Profile XXIII: Contrast Profile: A Novel Time Series Primitive that Allows Real World Classification. 1240-1245 - Nikhil Muralidhar, Jie Bu, Ze Cao, Neil Raj, Naren Ramakrishnan
PhyFlow: Physics-Guided Deep Learning for Generating Interpretable 3D Flow Fields. 1246-1251 - Mohammad Hossein Nazeri, Mahdi Bohlouli:
Exploring Reflective Limitation of Behavior Cloning in Autonomous Vehicles. 1252-1257 - Krishna Prasad Neupane, Ervine Zheng, Qi Yu
MetaEDL: Meta Evidential Learning For Uncertainty-Aware Cold-Start Recommendations. 1258-1263 - Eunkyu Oh, Taehun Kim, Yunhu Ji, Sushil Khyalia:
STING: Self-attention based Time-series Imputation Networks using GAN. 1264-1269 - Qiao Pan, Ke Ding, Dehua Chen:
Multi-Classification Prediction of Alzheimer's Disease based on Fusing Multi-modal Features. 1270-1275 - Jiaqi Peng, Jinxia Guo, Qinli Yang, Jianyun Lu, Junming Shao:
A general framework for mining concept-drifting data streams with evolvable features. 1276-1281 - Li Qian
Density-Based Clustering for Adaptive Density Variation. 1282-1287 - Yijian Qin, Xin Wang, Peng Cui, Wenwu Zhu:
GQNAS: Graph Q Network for Neural Architecture Search. 1288-1293 - Chuanwei Qu, Kuangmeng Wang, Hong Zhang, Guoxian Yu, Carlotta Domeniconi:
Incomplete Multi-view Multi-label Active Learning. 1294-1299 - Shaogang Ren, Haiyan Yin
Causal Discovery with Flow-based Conditional Density Estimation. 1300-1305 - Michael Ruchte, Josif Grabocka:
Scalable Pareto Front Approximation for Deep Multi-Objective Learning. 1306-1311 - Yoichi Sasaki, Yuzuru Okajima:
Alternative Ruleset Discovery to Support Black-box Model Predictions. 1312-1317 - Yasas Senarath, Ayan Mukhopadhyay, Sayyed Mohsen Vazirizade, Hemant Purohit
Practitioner-Centric Approach for Early Incident Detection Using Crowdsourced Data for Emergency Services. 1318-1323 - Mandar Sharma, John S. Brownstein, Naren Ramakrishnan
T3: Domain-Agnostic Neural Time-series Narration. 1324-1329 - Blaz Skrlj, Matej Petkovic:
Compressibility of Distributed Document Representations. 1330-1335 - Yuanfeng Song, Xiaoling Huang, Xuefang Zhao, Di Jiang, Raymond Chi-Wing Wong:
Multimodal N-best List Rescoring with Weakly Supervised Pre-training in Hybrid Speech Recognition. 1336-1341 - Wu-Jiu Sun, Xiao Fan Liu
Learning Dynamic User Interactions for Online Forum Commenting Prediction. 1342-1347 - Zhe Tang, Zhengyun Chen, Fang Qi, Lingyan Zhang, Shuhong Chen:
Pest-YOLO: Deep Image Mining and Multi-Feature Fusion for Real-Time Agriculture Pest Detection. 1348-1353 - Meet Taraviya, Anurag Beniwal, Yen-Liang Lin, Larry Davis:
PSANet - subspace attention for personalized compatibility. 1354-1360 - Sheng Tian, Tao Xiong, Leilei Shi:
Streaming Dynamic Graph Neural Networks for Continuous-Time Temporal Graph Modeling. 1361-1366 - Tarik Reza Toha
DhakaNet: Unstructured Vehicle Detection using Limited Computational Resources. 1367-1372 - Panagiotis A. Traganitis
Detecting adversaries in Crowdsourcing. 1373-1378 - Guihong Wan, Haim Schweitzer:
A Lookahead Algorithm for Robust Subspace Recovery. 1379-1384 - Daheng Wang, Tong Zhao, Nitesh V. Chawla
Dynamic Attributed Graph Prediction with Conditional Normalizing Flows. 1385-1390 - Lichen Wang, Bo Zong, Yunyu Liu, Can Qin, Wei Cheng, Wenchao Yu, Xuchao Zhang, Haifeng Chen, Yun Fu:
Aspect-based Sentiment Classification via Reinforcement Learning. 1391-1396 - Wei-Yao Wang
Exploring the Long Short-Term Dependencies to Infer Shot Influence in Badminton Matches. 1397-1402 - Yuwei Wang, Yan Zheng, Yanqing Peng
Constrained Non-Affine Alignment of Embeddings. 1403-1408 - Yongjie Wang
Summarizing User-Item Matrix By Group Utility Maximization. 1409-1414 - Xiaosu Wang, Yun Xiong, Hao Niu, Jingwen Yue, Yangyong Zhu, Philip S. Yu:
BioHanBERT: A Hanzi-aware Pre-trained Language Model for Chinese Biomedical Text Mining. 1415-1420 - Bang Wu
Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications. 1421-1426 - Daqing Wu, Xiao Luo
Composition-Enhanced Graph Collaborative Filtering for Multi-behavior Recommendation. 1427-1432 - Yanzhao Wu
Boosting Deep Ensemble Performance with Hierarchical Pruning. 1433-1438 - Le Xu
Overfitting Avoidance in Tensor Train Factorization and Completion: Prior Analysis and Inference. 1439-1444 - Hao Yang
Towards Stochastic Neural Network via Feature Distribution Calibration. 1445-1450 - Qingping Yang, Yingpeng Hu, Rongyu Cao, Hongwei Li, Ping Luo:
Zero-shot Key Information Extraction from Mixed-Style Tables: Pre-training on Wikipedia. 1451-1456 - Jui-Nan Yen, Chih-Jen Lin:
Limited-memory Common-directions Method With Subsampled Newton Directions for Large-scale Linear Classification. 1457-1462 - Miao Yu, Wenbin Lu, Rui Song
Online Testing of Subgroup Treatment Effects Based on Value Difference. 1463-1468 - Li Zhang, Shitian Shen, Lingxiao Li, Han Wang, Xueying Li, Jun Lang:
Jointly Multi-Similarity Loss for Deep Metric Learning. 1469-1474 - Mingyang Zhang, Yong Li, Funing Sun, Diansheng Guo
Adaptive Spatio-Temporal Convolutional Network for Traffic Prediction. 1475-1480 - Shuai Zhang
MERITS: Medication Recommendation for Chronic Disease with Irregular Time-Series. 1481-1486 - Wang Zhang, Yang Yu, Ting Pan, Lin Pan, Pengfei Jiao, Wenjun Wang:
Generating Structural Node Representations via Higher-order Features and Adversarial Learning. 1487-1492 - Xu Zhang, Liang Zhang, Bo Jin, Xinjiang Lu:
A Multi-view Confidence-calibrated Framework for Fair and Stable Graph Representation Learning. 1493-1498 - Yanfu Zhang, Lei Luo, Heng Huang:
Unified Fairness from Data to Learning Algorithm. 1499-1504 - Yingxue Zhang, Yanhua Li, Xun Zhou, Zhenming Liu, Jun Luo:
C3-GAN: Complex-Condition-Controlled Urban Traffic Estimation through Generative Adversarial Networks. 1505-1510 - Zhao-Yu Zhang, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou:
LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values. 1511-1516 - Zizhuo Zhang
Graph Neighborhood Routing and Random Walk for Session-based Recommendation. 1517-1522 - Li Zheng
AdaBoosting Clusters on Graph Neural Networks. 1523-1528 - Cangqi Zhou, Jinling Shang, Jing Zhang, Qianmu Li, Dianming Hu:
Topic-Attentive Encoder-Decoder with Pre-Trained Language Model for Keyphrase Generation. 1529-1534 - Dongming Zhou, Jing Yang, Canlong Zhang, Yanping Tang:
Joint Scence Network and Attention-Guided for Image Captioning. 1535-1540 - Fan Zhou, Chenfan Lu, Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Jieping Ye, Hongtu Zhu:
Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching. 1541-1546 - Ronghang Zhu
Self-supervised Universal Domain Adaptation with Adaptive Memory Separation. 1547-1552 - Xiaoyan Zhu, Ting Wang, Jiayin Wang, Ying Xu, Yuqian Liu:
A new multiple instance algorithm using structural information. 1553-1558 - Xunyu Zhu
Operation-level Progressive Differentiable Architecture Search. 1559-1564 - Jingwei Zuo
SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time Series. 1565-1570
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