Robust Learning

Byzantine-Robust and Differentially Private Federated Optimization under Weaker Assumptions UAI 2026 CLEX: Complementary Label Exchange Learning for Noisy Facial Expression Recognition CVPR 2026 ConeSep: Cone-based Robust Noise-Unlearning Compositional Network for Composed Image Retrieval CVPR 2026 Corruptions of Supervised Learning Problems: Typology and Mitigations JMLR 2026 Mitigating Spurious Correlations in Text Classification Using Latent Space Geometry ACL 2026 Mitigating Spurious Correlations with Memorization-Guided Dataset De-Biasing UAI 2026 On the Relevance of Byzantine Robust Optimization Against Data Poisoning JMLR 2026 Regularized Robustly Reliable Learners ALT 2026 Robust Online Learning ALT 2026 VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training ACL 2026 Adversarially-Robust TD Learning with Markovian Data: Finite-Time Rates and Fundamental Limits AISTATS 2025 Elastic Representation: Mitigating Spurious Correlations for Group Robustness AISTATS 2025 Learning from Noisy Labels via Self-Taught On-the-Fly Meta Loss Rescaling AAAI 2025 Outlier-Robust Linear System Identification Under Heavy-Tailed Noise L4DC 2025 Proxy-informed Bayesian transfer learning with unknown sources UAI 2025 Robust Estimation in metric spaces: Achieving Exponential Concentration with a Fréchet Median AISTATS 2025 Two Challenges, One Solution: Robust Multimodal Learning through Dynamic Modality Recognition and Enhancement EMNLP 2025 Active Reinforcement Learning for Robust Building Control AAAI 2024 Adversarially-Robust Inference on Trees via Belief Propagation COLT 2024 Beyond Catoni: Sharper Rates for Heavy-Tailed and Robust Mean Estimation COLT 2024 Black-Box k-to-1-PCA Reductions: Theory and Applications COLT 2024 Collaborative Refining for Learning from Inaccurate Labels NeurIPS 2024 Efficient Overshadowed Entity Disambiguation by Mitigating Shortcut Learning EMNLP 2024 Enhancing Multi-Label Text Classification under Label-Dependent Noise: A Label-Specific Denoising Framework EMNLP 2024 Federated Learning with Extremely Noisy Clients via Negative Distillation AAAI 2024