Theory

Can semi-supervised learning use all the data effectively? A lower bound perspective NeurIPS 2023 Can We Find Strong Lottery Tickets in Generative Models? AAAI 2023 Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention IJCAI 2023 Causal Component Analysis NeurIPS 2023 CCEval: A Representative Evaluation Benchmark for the Chinese-centric Multilingual Machine Translation EMNLP 2023 Certifiably Robust Graph Contrastive Learning NeurIPS 2023 Certified Defense for Content Based Image Retrieval WACV 2023 Certifying Ensembles: A General Certification Theory with S-Lipschitzness ICML 2023 Characterizing Out-of-Distribution Error via Optimal Transport NeurIPS 2023 Characterizing the Influence of Graph Elements ICLR 2023 Characterizing the spectrum of the NTK via a power series expansion ICLR 2023 Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks ACL 2023 Closing the gap between the upper bound and lower bound of Adam's iteration complexity NeurIPS 2023 Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces AISTATS 2023 CodaLab Competitions: An Open Source Platform to Organize Scientific Challenges JMLR 2023 Combining Slow and Fast: Complementary Filtering for Dynamics Learning AAAI 2023 Common Knowledge of Abstract Groups AAAI 2023 Common Law Annotations: Investigating the Stability of Dialog System Output Annotations ACL 2023 Competitive Gradient Optimization ICML 2023 Complexity of Efficient Outcomes in Binary-Action Polymatrix Games and Implications for Coordination Problems IJCAI 2023 Complexity of Reasoning with Cardinality Minimality Conditions AAAI 2023 Complexity of Safety and coSafety Fragments of Linear Temporal Logic AAAI 2023 Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks L4DC 2023 Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees NeurIPS 2023 Comprehensive Algorithm Portfolio Evaluation using Item Response Theory JMLR 2023