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Machine Learning

132,800 papers (10 classified directly here)

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Papers (including subtopics)

Reparameterized Complex-valued Neurons Can Efficiently Learn More than Real-valued Neurons via Gradient Descent JMLR 2026 Rep Deep & Machine Learning: Exemplar-Free Continual Video Action Recognition via Slow-Fast Collaborative Learning AAAI 2026 Repetition Makes Perfect: Recurrent Graph Neural Networks Match Message Passing Limit AAAI 2026 Representation Collapse in Machine Translation Through the Lens of Angular Dispersion EACL 2026 ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning ACL 2026 Res-Bench: Benchmarking the Robustness of Multimodal Large Language Models to Dynamic Resolution Input AAAI 2026 Resilience Inference for Supply Chains with Hypergraph Neural Network AAAI 2026 Resilient UAV Swarm with Fast Connectivity Recovery and Extensive Coverage AAAI 2026 ResMAS: Resilience Optimization in LLM-based Multi-agent Systems AAAI 2026 ResNet-GA: Evolutionary Deep Learning Models for Adversarial Defense (Student Abstract) AAAI 2026 Resolving Predictive Multiplicity for the Rashomon Set AAAI 2026 Resource Efficient Sleep Staging via Multi-Level Masking and Prompt Learning AAAI 2026 ResProto-FD: Visual-Language Residual Prototype Sets for Generalized Face Forgery Detection AAAI 2026 Re-SpS: A Reinforcement Learning Approach to Speculative Sampling AAAI 2026 RESTL: Reinforcement Learning Guided by Multi-Aspect Rewards for Signal Temporal Logic Transformation AAAI 2026 Retaliatory Attacks Against Federated Unlearning via Data Leakage AAAI 2026 RetFormer: Multimodal Retrieval for Enhancing Image Recognition CVPR 2026 Rethinking AI: From Functions to Functors AAAI 2026 Rethinking Bias in Generative Data Augmentation for Medical AI: A Frequency Recalibration Method AAAI 2026 Rethinking Crystal Symmetry Prediction: A Decoupled Perspective AAAI 2026 Rethinking Data Mixing from the Perspective of Large Language Models ACL 2026 Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives EACL 2026 Rethinking Dataset Distillation: Hard Truths about Soft Labels CVPR 2026 Rethinking Deep Alignment Through the Lens of Incomplete Safety Learning AAAI 2026 Rethinking Direct Preference Optimization in Diffusion Models AAAI 2026