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Machine Learning

132,800 papers (10 classified directly here)

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Papers (including subtopics)

Distribution Free Tests for Model Selection Based on Maximum Mean Discrepancy with Estimated Parameters JMLR 2025 Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework AAAI 2025 Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting AAAI 2025 Distribution Optimization under Gaussian Hypothesis for Domain Adaptive Semantic Segmentation WACV 2025 Distribution Prompting: Understanding the Expressivity of Language Models Through the Next-Token Distributions They Can Produce EMNLP 2025 Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection CVPR 2025 Distribution-Specific Agnostic Conditional Classification With Halfspaces ICLR 2025 DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent ICLR 2025 DiTAR: Diffusion Transformer Autoregressive Modeling for Speech Generation ICML 2025 DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing WACV 2025 DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers ICCV 2025 Dive into Aerial Remote Sensing Underwater Depth Estimation with Hyperspectral Imagery AAAI 2025 DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts ACL 2025 DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints AAAI 2025 Divergence-enhanced Knowledge-guided Context Optimization for Visual-Language Prompt Tuning ICLR 2025 Divergence of Neural Tangent Kernel in Classification Problems ICLR 2025 Divergence-Regularized Discounted Aggregation: Equilibrium Finding in Multiplayer Partially Observable Stochastic Games ICLR 2025 Divergent Domains Convergent Grading: Enhancing Generalization in Diabetic Retinopathy Grading WACV 2025 Diverging Preferences: When do Annotators Disagree and do Models Know? ICML 2025 DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows CVPR 2025 Diverse, not Short: A Length-Controlled Data Selection Strategy for Improving Response Diversity of Language Models EMNLP 2025 Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning ICLR 2025 Diverse Preference Learning for Capabilities and Alignment ICLR 2025 Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift ICML 2025 Diverse Rare Sample Generation with Pretrained GANs AAAI 2025