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Machine Learning

132,800 papers (10 classified directly here)

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Papers (including subtopics)

Asynchronous Decentralized Optimization with Constraints: Achievable Speeds of Convergence for Directed Graphs AISTATS 2025 Asynchronous Distributed Gaussian Process Regression AAAI 2025 Asynchronous Event Error-Minimizing Noise for Safeguarding Event Dataset ICCV 2025 Asynchronous Federated Clustering with Unknown Number of Clusters AAAI 2025 Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis ICLR 2025 Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models ICLR 2025 A Systematic Analysis of Base Model Choice for Reward Modeling EMNLP 2025 A Systematic Evaluation of LLM Strategies for Mental Health Text Analysis: Fine-tuning vs. Prompt Engineering vs. RAG NAACL 2025 A Systematic Examination of Preference Learning through the Lens of Instruction-Following NAACL 2025 A Systematic Study of Cross-Layer KV Sharing for Efficient LLM Inference NAACL 2025 A Systematic Survey of Automatic Prompt Optimization Techniques EMNLP 2025 ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning ICML 2025 A Tale of Evaluating Factual Consistency: Case Study on Long Document Summarization Evaluation ACL 2025 A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets CVPR 2025 ATAS: Any-to-Any Self-Distillation for Enhanced Open-Vocabulary Dense Prediction ICCV 2025 A Template Is All You Meme NAACL 2025 A Text-Based Recommender System that Leverages Explicit Affective State Preferences EMNLP 2025 A Text Embedding Model with Contrastive Example Mining for Point-of-Interest Geocoding COLING 2025 A Text is Worth Several Tokens: Text Embedding from LLMs Secretly Aligns Well with The Key Tokens ACL 2025 ATGen: A Framework for Active Text Generation ACL 2025 ATHAR: A High-Quality and Diverse Dataset for Classical Arabic to English Translation EMNLP 2025 A Theoretical Analysis of Soft-Label vs Hard-Label Training in Neural Networks L4DC 2025 A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrödinger Equation AAAI 2025 A Theoretical Framework for Evaluating Narrative Surprise in Large Language Models NAACL 2025 A Theoretical Framework For Overfitting In Energy-based Modeling ICML 2025