Learning Paradigms

AdaCuRL: Adaptive Curriculum Reinforcement Learning with Invalid Sample Mitigation and Historical Revisiting AAAI 2026 Adam’s Law: Textual Frequency Law on Large Language Models ACL 2026 A Novel Data-Dependent Learning Paradigm for Large Hypothesis Classes ALT 2026 Batman: Benign Knowledge Alignment Through Malicious Null Space in Federated Backdoor Attack CVPR 2026 Byzantine-Robust and Differentially Private Federated Optimization under Weaker Assumptions UAI 2026 Can Optimal Transport Improve Federated Inverse Reinforcement Learning? L4DC 2026 Context-aware Graph Meta-learning AAAI 2026 Controllable Federated Prompt Learning at Test Time CVPR 2026 CoRe-Fed: Bridging Collaborative and Representation Fairness via Federated Embedding Distillation AAAI 2026 Curriculum Learning and Pseudo-Labeling Improve the Generalization of Multi-Label Arabic Dialect Identification Models EACL 2026 DASH: A Meta-Attack Framework for Synthesizing Effective and Stealthy Adversarial Examples CVPR 2026 Data Efficient RLVR via Off-Policy Influence Guidance ACL 2026 Decoupling Understanding from Reasoning via Problem Space Mapping for Small-Scale Model Reasoning AAAI 2026 Does Locality Cost in Polish Medical Text Classification? Duplicate-Aware Evaluation of Federated Learning ACL 2026 Domain Sensitive Federated Learning with Fisher-Informed Pruning CVPR 2026 Domain-Skewed Federated Learning with Feature Decoupling and Calibration CVPR 2026 Efficient Federated Conformal Prediction with Group-Conditional Guarantee UAI 2026 Enhanced Federated Deep Multi-View Clustering Under Uncertainty Scenario AAAI 2026 Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning CVPR 2026 Fed-ADE: Adaptive Learning Rate for Federated Post-adaptation under Distribution Shift CVPR 2026 FedBPrompt: Federated Domain Generalization Person Re-Identification via Body Distribution Aware Visual Prompts CVPR 2026 FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data AAAI 2026 FedDAP: Domain-Aware Prototype Learning for Federated Learning under Domain Shift CVPR 2026 FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels WACV 2026 Federated Combinatorial Causal Bandits with Heterogeneous Causal Influences UAI 2026