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Machine Learning

132,800 papers (10 classified directly here)

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Papers (including subtopics)

FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence ICML 2025 FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis AAAI 2025 FedVLA: Federated Vision-Language-Action Learning with Dual Gating Mixture-of-Experts for Robotic Manipulation ICCV 2025 FedWSQ: Efficient Federated Learning with Weight Standardization and Distribution-Aware Non-Uniform Quantization ICCV 2025 FedXDS: Leveraging Model Attribution Methods to counteract Data Heterogeneity in Federated Learning ICCV 2025 Feedback Favors the Generalization of Neural ODEs ICLR 2025 Feedback Schrödinger Bridge Matching ICLR 2025 Feedforward Few-shot Species Range Estimation ICML 2025 Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion ICCV 2025 Feeding Two Birds or Favoring One? Adequacy–Fluency Tradeoffs in Evaluation and Meta-Evaluation of Machine Translation EMNLP 2025 “Feels Feminine to Me”: Understanding Perceived Gendered Style through Human Annotations EMNLP 2025 FERMI: Flexible Radio Mapping with a Hybrid Propagation Model and Scalable Autonomous Data Collection RSS 2025 Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints CVPR 2025 Ferret: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique EMNLP 2025 Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models ICML 2025 Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms ICLR 2025 FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection ICCV 2025 Few-Class Arena: A Benchmark for Efficient Selection of Vision Models and Dataset Difficulty Measurement ICLR 2025 Fewer Denoising Steps or Cheaper Per-Step Inference: Towards Compute-Optimal Diffusion Model Deployment ICCV 2025 Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset ICLR 2025 Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization ICLR 2025 Few-Shot Audio-Visual Class-Incremental Learning with Temporal Prompting and Regularization AAAI 2025 Few-Shot Domain Adaptation for Learned Image Compression AAAI 2025 Few-shot domain adaptation for named-entity recognition via joint constrained k-means and subspace selection COLING 2025 Few-Shot Fine-Grained Image Classification with Progressively Feature Refinement and Continuous Relationship Modeling AAAI 2025