Abstract is missing.
- Unsupervised Deep Cross-Language Entity AlignmentChuanyu Jiang, Yiming Qian, Lijun Chen, Yang Gu, Xia Xie. 3-19 [doi]
- Corpus-Based Relation Extraction by Identifying and Refining Relation PatternsSizhe Zhou, Suyu Ge, Jiaming Shen, Jiawei Han 0001. 20-38 [doi]
- Learning to Play Text-Based Adventure Games with Maximum Entropy Reinforcement LearningWeichen Li, Rati Devidze, Sophie Fellenz. 39-54 [doi]
- SALAS: Supervised Aspect Learning Improves Abstractive Multi-document Summarization Through Aspect Information LossHaotian Chen, Han Zhang, Houjing Guo, Shuchang Yi, Bingsheng Chen, Xiangdong Zhou. 55-70 [doi]
- KL Regularized Normalization Framework for Low Resource TasksNeeraj Kumar 0010, Ankur Narang, Brejesh Lall. 71-89 [doi]
- Improving Autoregressive NLP Tasks via Modular Linearized AttentionVictor Agostinelli, Lizhong Chen. 90-106 [doi]
- Enhancing Table Retrieval with Dual Graph RepresentationsTianyun Liu, Xinghua Zhang 0001, Zhenyu Zhang 0006, Yubin Wang, Quangang Li, Shuai Zhang, Tingwen Liu. 107-123 [doi]
- A Few Good Sentences: Content Selection for Abstractive Text SummarizationVivek Srivastava, Savita Bhat, Niranjan Pedanekar. 124-141 [doi]
- Encouraging Sparsity in Neural Topic Modeling with Non-Mean-Field InferenceJiayao Chen, Rui Wang, Jueying He, Mark Junjie Li. 142-158 [doi]
- The Metric is the Message: Benchmarking Challenges for Neural Symbolic RegressionAmanda Bertschinger, Q. Tyrell Davis, James P. Bagrow, Josh C. Bongard. 161-177 [doi]
- Symbolic Regression via Control Variable Genetic ProgrammingNan Jiang 0010, Yexiang Xue. 178-195 [doi]
- ALCHIQ(D)N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo. 196-212 [doi]
- Deep Explainable Relational Reinforcement Learning: A Neuro-Symbolic ApproachRishi Hazra, Luc De Raedt. 213-229 [doi]
- ReOnto: A Neuro-Symbolic Approach for Biomedical Relation ExtractionMonika Jain, Kuldeep Singh, Raghava Mutharaju. 230-247 [doi]
- NKFAC: A Fast and Stable KFAC Optimizer for Deep Neural NetworksYing Sun, Hongwei Yong, Lei Zhang. 251-267 [doi]
- Exact Combinatorial Optimization with Temporo-Attentional Graph Neural NetworksMehdi Seyfi, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang 0004. 268-283 [doi]
- Improved Multi-label Propagation for Small Data with Multi-objective OptimizationKhadija Musayeva, Mickaël Binois. 284-300 [doi]
- Fast Convergence of Random Reshuffling Under Over-Parameterization and the Polyak-Łojasiewicz ConditionChen Fan, Christos Thrampoulidis, Mark Schmidt 0001. 301-315 [doi]
- A Scalable Solution for the Extended Multi-channel Facility Location ProblemEtika Agarwal, Karthik S. Gurumoorthy, Ankit Ajit Jain, Shantala Manchenahally. 316-332 [doi]
- Online State Exploration: Competitive Worst Case and Learning-Augmented AlgorithmsSungjin Im, Benjamin Moseley, Chenyang Xu 0002, Ruilong Zhang 0001. 333-348 [doi]
- Learning Graphical Factor Models with Riemannian OptimizationAlexandre Hippert-Ferrer, Florent Bouchard, Ammar Mian, Titouan Vayer, Arnaud Breloy. 349-366 [doi]
- ConGCN: Factorized Graph Convolutional Networks for Consensus RecommendationBoyu Li 0003, Ting Guo, Xingquan Zhu 0001, Yang Wang 0002, Fang Chen 0001. 369-386 [doi]
- Long-Tail Augmented Graph Contrastive Learning for RecommendationQian Zhao, Zhengwei Wu, Zhiqiang Zhang 0012, Jun Zhou 0011. 387-403 [doi]
- News Recommendation via Jointly Modeling Event Matching and Style MatchingPengyu Zhao, Shoujin Wang, Wenpeng Lu, Xueping Peng, Weiyu Zhang, Chaoqun Zheng, Yonggang Huang. 404-419 [doi]
- BalancedQR: A Framework for Balanced Query RecommendationHarshit Mishra, Sucheta Soundarajan. 420-435 [doi]
- On the Distributional Convergence of Temporal Difference LearningJie Dai, Xuguang Chen. 439-454 [doi]
- Offline Reinforcement Learning with On-Policy Q-Function RegularizationLaixi Shi, Robert Dadashi, Yuejie Chi, Pablo Samuel Castro, Matthieu Geist. 455-471 [doi]
- Alpha Elimination: Using Deep Reinforcement Learning to Reduce Fill-In During Sparse Matrix DecompositionArpan Dasgupta, Pawan Kumar 0001. 472-488 [doi]
- Learning Hierarchical Planning-Based Policies from Offline DataJan Wöhlke, Felix Schmitt, Herke van Hoof. 489-505 [doi]
- Stepsize Learning for Policy Gradient Methods in Contextual Markov Decision ProcessesLuca Sabbioni, Francesco Corda, Marcello Restelli. 506-523 [doi]
- Invariant Lipschitz Bandits: A Side Observation ApproachNam Phuong Tran, Long Tran-Thanh. 524-539 [doi]
- Filtered Observations for Model-Based Multi-agent Reinforcement LearningLinghui Meng 0001, Xuantang Xiong, Yifan Zang, Xi Zhang, Guoqi Li, Dengpeng Xing, Bo Xu 0002. 540-555 [doi]
- Unsupervised Salient Patch Selection for Data-Efficient Reinforcement LearningZhaohui Jiang, Paul Weng. 556-572 [doi]
- Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement LearningQiang He, Tianyi Zhou 0001, Meng Fang, Setareh Maghsudi. 573-589 [doi]
- Learning Disentangled Discrete RepresentationsDavid Friede, Christian Reimers, Heiner Stuckenschmidt, Mathias Niepert. 593-609 [doi]
- Boosting Object Representation Learning via Motion and Object ContinuityQuentin Delfosse, Wolfgang Stammer, Thomas Rothenbacher, Dwarak Vittal, Kristian Kersting. 610-628 [doi]
- Learning Geometric Representations of Objects via InteractionAlfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Anastasiia Varava, Danica Kragic. 629-644 [doi]
- On the Good Behaviour of Extremely Randomized Trees in Random Forest-Distance ComputationManuele Bicego, Ferdinando Cicalese. 645-660 [doi]
- Hypernetworks Build Implicit Neural Representations of SoundsFilip Szatkowski, Karol J. Piczak, Przemyslaw Spurek, Jacek Tabor, Tomasz Trzcinski. 661-676 [doi]
- Contrastive Representation Through Angle and Distance Based Loss for Partial Label LearningPriyanka Chudasama, Tushar Kadam, Rajat Patel, Aakarsh Malhotra, Manoj Magam. 677-692 [doi]
- Equivariant Representation Learning in the Presence of StabilizersLuis Armando Pérez Rey, Giovanni Luca Marchetti, Danica Kragic, Dmitri Jarnikov, Mike Holenderski. 693-708 [doi]
- Towards Understanding the Mechanism of Contrastive Learning via Similarity Structure: A Theoretical AnalysisHiroki Waida, Yuichiro Wada, Léo Andéol, Takumi Nakagawa, Yuhui Zhang, Takafumi Kanamori. 709-727 [doi]
- BipNRL: Mutual Information Maximization on Bipartite Graphs for Node Representation LearningPranav Poduval, Gaurav Oberoi, Sangam Verma, Ayush Agarwal, Karamjit Singh, Siddhartha Asthana. 728-743 [doi]