Learning Paradigms

Bayes Meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes JMLR 2025 Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed Data AAAI 2025 BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities AAAI 2025 Breaking Data Silos in Parkinson’s Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis AAAI 2025 Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains EMNLP 2025 Calibrated Disambiguation for Partial Multi-label Learning AAAI 2025 Capture Global Feature Statistics for One-Shot Federated Learning AAAI 2025 Class-Wise Federated Averaging for Efficient Personalization ICCV 2025 Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing ICCV 2025 Client Selection for Federated Policy Optimization with Environment Heterogeneity JMLR 2025 Code-Switching Curriculum Learning for Multilingual Transfer in LLMs ACL 2025 Co-Dream: Collaborative Dream Synthesis over Decentralized Models AAAI 2025 Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models ACL 2025 Comparative Analysis of Demonstration Selection Algorithms for In-Context Learning in Large Language Models (Student Abstract) AAAI 2025 Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information UAI 2025 ConFREE: Conflict-free Client Update Aggregation for Personalized Federated Learning AAAI 2025 Convergence Analysis of Federated Learning Methods Using Backward Error Analysis AAAI 2025 Cooperative Pseudo Labeling for Unsupervised Federated Classification ICCV 2025 Counterfactual Task-augmented Meta-learning for Cold-start Sequential Recommendation AAAI 2025 Creating Coherence in Federated Non-Negative Matrix Factorization AAAI 2025 CSAHFL:Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-layer Non-IID in Heterogeneous Edge Computing Networks IJCAI 2025 Curriculum Abductive Learning for Mitigating Reasoning Shortcuts IJCAI 2025 Curriculum Coarse-to-Fine Selection for High-IPC Dataset Distillation CVPR 2025 Curriculum Conditioned Diffusion for Multimodal Recommendation AAAI 2025 Curriculum Direct Preference Optimization for Diffusion and Consistency Models CVPR 2025