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34,437 papers (4 classified directly here)

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Papers (including subtopics)

On Linearizing Structured Data in Encoder-Decoder Language Models: Insights from Text-to-SQL NAACL 2024 Online Cascade Learning for Efficient Inference over Streams ICML 2024 Online Combinatorial Optimization with Group Fairness Constraints IJCAI 2024 Online Continuous Generalized Category Discovery ECCV 2024 Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback AAAI 2024 Online Distribution Learning with Local Privacy Constraints AISTATS 2024 Online Feature Updates Improve Online (Generalized) Label Shift Adaptation NeurIPS 2024 Online GNN Evaluation Under Test-time Graph Distribution Shifts ICLR 2024 Online Knowledge Distillation of Decoder-Only Large Language Models for Efficient Speech Recognition Interspeech 2024 Online Learning and Information Exponents: The Importance of Batch size & Time/Complexity Tradeoffs ICML 2024 Online Reinforcement Learning-Based Pedagogical Planning for Narrative-Centered Learning Environments AAAI 2024 Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints AAAI 2024 Online Sensitivity Optimization in Differentially Private Learning AAAI 2024 Online Speculative Decoding ICML 2024 Online Subloop Search via Uncertainty Quantization for Efficient Test-Time Adaptation Interspeech 2024 Online Transfer and Adaptation of Tactile Skill: A Teleoperation Framework CoRL 2024 On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey ACL 2024 On Measuring Context Utilization in Document-Level MT Systems EACL 2024 On Mitigating Performance Disparities in Multilingual Speech Recognition EMNLP 2024 On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint) IJCAI 2024 On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods AAAI 2024 On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes ICLR 2024 On provable privacy vulnerabilities of graph representations NeurIPS 2024 On Regularized Radon-Nikodym Differentiation JMLR 2024 On Retrieval Augmentation and the Limitations of Language Model Training NAACL 2024