Learning Paradigms

Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning ICCV 2025 Learn How to Query from Unlabeled Data Streams in Federated Learning AAAI 2025 Learning from Noisy Labels via Self-Taught On-the-Fly Meta Loss Rescaling AAAI 2025 Learning Like Humans: Advancing LLM Reasoning Capabilities via Adaptive Difficulty Curriculum Learning and Expert-Guided Self-Reformulation EMNLP 2025 Learning on the Go: A Meta-learning Object Navigation Model ICCV 2025 Learning to Generalize without Bias for Open-Vocabulary Action Recognition ICCV 2025 Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers AAAI 2025 Learning Together Securely: Prototype-Based Federated Multi-Modal Hashing for Safe and Efficient Multi-Modal Retrieval AAAI 2025 Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation JMLR 2025 Legal Mathematical Reasoning with LLMs: Procedural Alignment through Two-Stage Reinforcement Learning EMNLP 2025 LiD-FL: Towards List-Decodable Federated Learning AAAI 2025 Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond ACL 2025 Little Is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning AAAI 2025 LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning AAAI 2025 Long Chain-of-Thought Fine-tuning via Understanding-to-Reasoning Transition EMNLP 2025 LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement ICCV 2025 Making Large Vision Language Models to Be Good Few-Shot Learners AAAI 2025 MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models EMNLP 2025 MDFG: Multi-Dimensional Fine-Grained Modeling for Fatigue Detection AAAI 2025 Mega-CE$^2$ : A Multimodal Heterogeneous Aggregation Framework for End-Edge-Cloud Computing ACML 2025 Memory-Reduced Meta-Learning with Guaranteed Convergence AAAI 2025 Meta Label Correction with Generalization Regularizer IJCAI 2025 Meta-Learning Approaches for Speaker-Dependent Voice Fatigue Models Interspeech 2025 Meta-Learning Dynamic Center Distance: Hard Sample Mining for Learning with Noisy Labels ICCV 2025 Meta-Learning for Adaptive Control with Automated Mirror Descent L4DC 2025