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Machine Learning

132,800 papers (10 classified directly here)

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Papers (including subtopics)

Inter-Photon-Limited Videography CVPR 2026 InterPhys: Physics-aware Human Motion Synthesis in a Dynamic Scene CVPR 2026 Interpolated Stochastic Interventions Based on Propensity Scores, Target Policies and Treatment-Specific Costs AAAI 2026 Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use EACL 2026 Interpretable Machine Learning for In-Home Mild Cognitive Impairment Detection AAAI 2026 Interpreting Capsule Networks for Image Classification by Routing Path Visualization (Abstract Reprint) AAAI 2026 Interpreting Fedspeak with Confidence: A LLM-Based Uncertainty-Aware Framework Guided by Monetary Policy Transmission Paths AAAI 2026 Intervention-Aware Time Series Modeling: Capturing and Evaluating Feature Dependencies AAAI 2026 In-Token Rationality Optimization: Towards Accurate and Concise LLM Reasoning via Self-Feedback AAAI 2026 Intra-Class Probabilistic Embeddings for Uncertainty Estimation in Vision-Language Models WACV 2026 Intra-Class Unbiased Prototype Aggregation and Classifier Collaboration for Personalized Federated Learning AAAI 2026 Intra-Image Mining and Symmetric Maximum Concept Matching for Few Shot Out-of-Distribution Detection AAAI 2026 Intraoperative 2D/3D Registration via Spherical Similarity Learning and Differentiable Levenberg-Marquardt Optimization WACV 2026 Intuitive Thinking: Expanding Large Language Models’ Thinking for Rapid Decision-Making on Candidate Corrections in Chinese Grammar Error Correction AAAI 2026 Invariant Conditional Molecular Generation Under Distribution Shift AAAI 2026 Invariant Feature Learning for Counterfactual Watch-time Prediction in Video Recommendation AAAI 2026 Invariant Representation Learning for Memory Behavior Modeling via Adaptive Environment Separation AAAI 2026 Inverse Optimal Transport for Efficient Adaptation of Vision-Language Models AAAI 2026 Investigating Data Pruning for Pretraining Biological Foundation Models at Scale AAAI 2026 Investigating Gender Stereotypes in Large Language Models via Social Determinants of Health EACL 2026 Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models AAAI 2026 Investigating Vaccine Buyer’s Remorse: Post-Vaccination Decision Regret in COVID-19 Social Media Using Politically Diverse Human Annotation AAAI 2026 Invisible Speakers? Gender Disparity in German AI Discourse and Its Reflection in Language Models EACL 2026 Invisible Triggers, Visible Threats! Road-Style Adversarial Creation Attack for Visual 3D Detection in Autonomous Driving AAAI 2026 Invited Open Problem: Does Differential Privacy Make PAC Learning Much Harder? COLT 2026