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Machine Learning

132,800 papers (10 classified directly here)

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Papers (including subtopics)

Oracle-MoE: Locality-preserving Routing in the Oracle Space for Memory-constrained Large Language Model Inference ICML 2025 ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion EMNLP 2025 ORBIT: Cost-Effective Dataset Curation for Large Language Model Domain Adaptation with an Astronomy Case Study ACL 2025 Orchestrating Audio: Multi-Agent Framework for Long-Video Audio Synthesis EMNLP 2025 Orchestrating the Symphony of Prompt Distribution Learning for Human-Object Interaction Detection AAAI 2025 OrderChain: Towards General Instruct-Tuning for Stimulating the Ordinal Understanding Ability of MLLM ICCV 2025 Order Doesn’t Matter, But Reasoning Does: Training LLMs with Order-Centric Augmentation EMNLP 2025 Ordered V-information Growth: A Fresh Perspective on Shared Information AISTATS 2025 Order Matters: Investigate the Position Bias in Multi-constraint Instruction Following ACL 2025 Order-Optimal Global Convergence for Actor-Critic with General Policy and Neural Critic Parametrization UAI 2025 Order-Optimal Regret in Distributed Kernel Bandits using Uniform Sampling with Shared Randomness AISTATS 2025 Order-Optimal Regret with Novel Policy Gradient Approaches in Infinite-Horizon Average Reward MDPs AISTATS 2025 Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping CVPR 2025 Ordinal Multiple-Instance Learning for Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer WACV 2025 Organize the Web: Constructing Domains Enhances Pre-Training Data Curation ICML 2025 Orient Anything: Learning Robust Object Orientation Estimation from Rendering 3D Models ICML 2025 Origin Identification for Text-Guided Image-to-Image Diffusion Models ICML 2025 ORPP: Self-Optimizing Role-playing Prompts to Enhance Language Model Capabilities EMNLP 2025 ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization ICLR 2025 Orthogonal Bases for Equivariant Graph Learning with Provable k-WL Expressive Power JMLR 2025 Orthogonal Finetuning Made Scalable EMNLP 2025 Orthogonal projection-based regularization for efficient model augmentation L4DC 2025 Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection ICML 2025 OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference ICML 2025 Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads ICML 2025