Machine Learning

Rademacher Complexity for Distributionally Robust Learning AAAI 2026 RAG-Enhanced Collaborative LLM Agents for Drug Discovery AAAI 2026 RAISE: Requirement-Adaptive Evolutionary Refinement for Training-Free Text-to-Image Alignment CVPR 2026 RampWatch: An In-the-Wild Dataset and Text-Guided Detection Framework for Recreational Vessels WACV 2026 Random Amalgamation of Adapters for Flatter Loss Landscapes: Towards Class-Incremental Learning with Better Stability AAAI 2026 Randomization for Faster Exact Optimization of Discounted Markov Decision Processes COLT 2026 Random Reshuffling Dominates Stochastic Gradient Descent COLT 2026 Rank-based Geographical Regularization: Revisiting Contrastive Self-Supervised Learning for Multispectral Remote Sensing Imagery WACV 2026 Ranking Human and LLM Texts Using Locality Statistics EACL 2026 Ranking Items from Discrete Ratings: The Cost of Unknown User Thresholds ALT 2026 Ranking Reasoning LLMs under Test-Time Scaling ACL 2026 RankList – a Listwise Preference Learning Framework for Predicting Subjective Preferences AAAI 2026 RankOOD - Class Ranking-based Out-of-Distribution Detection CVPR 2026 Rate-optimal community detection near the KS threshold via node-robust algorithms COLT 2026 RATE: Reviewer Profiling and Annotation-free Training for Expertise Ranking in Peer Review Systems ACL 2026 RatioSketch: Towards More Accurate Frequency Estimation in Data Streams via a Lightweight Neural Network AAAI 2026 R-AVST: Empowering Video-LLMs with Fine-Grained Spatio-Temporal Reasoning in Complex Audio-Visual Scenarios AAAI 2026 RAVU: Retrieval Augmented Video Understanding with Compositional Reasoning over Graph WACV 2026 RayD3D: Distilling Depth Knowledge Along the Ray for Robust Multi-View 3D Object Detection AAAI 2026 RB-LoRA: Rank-Balanced Aggregation for Low-Rank Adaptation with Federated Fine-Tuning EACL 2026 RcAE: Recursive Reconstruction Framework for Unsupervised Industrial Anomaly Detection AAAI 2026 RCMoE: A Communication-Efficient Random Compression Framework for Resource-Constrained Mixture-of-Experts Training AAAI 2026 RC-NF: Robot-Conditioned Normalizing Flow for Real-Time Anomaly Detection in Robotic Manipulation CVPR 2026 RCP-Merging: Merging Long Chain-of-Thought Models with Domain-Specific Models by Considering Reasoning Capability as Prior AAAI 2026 REACTION: Parameter-Efficient Learning for Recommendation AAAI 2026