robust learning

Do We Need Perfect Data? Leveraging Noise for Domain Generalized Segmentation AAAI 2026 Misclassification-Aware Robust Learning from Multiple Human Labelers (Student Abstract) AAAI 2026 Multi-Stage Reinforcement Learning for Robust Charging of Quantum Batteries (Student Abstract) AAAI 2026 Robust Learning from Noisily Labeled Long-Tailed Data via Fairness Regularizer AAAI 2026 CA2C: A Prior-Knowledge-Free Approach for Robust Label Noise Learning via Asymmetric Co-learning and Co-training ICCV 2025 Distributional Adversarial Loss AISTATS 2025 Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness JMLR 2025 Optimized Gradient Clipping for Noisy Label Learning AAAI 2025 RoDA: Robust Domain Alignment for Cross-Domain Retrieval Against Label Noise AAAI 2025 The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards AAAI 2025 The Pitfalls of Memorization: When Memorization Hurts Generalization ICLR 2025 Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach ACL 2025 ε-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise NeurIPS 2024 Active Reinforcement Learning for Robust Building Control AAAI 2024 Adaptive Robust Learning using Latent Bernoulli Variables ICML 2024 Agnostic Multi-Robust Learning using ERM AISTATS 2024 ASPIRE: Language-Guided Data Augmentation for Improving Robustness Against Spurious Correlations ACL 2024 Black-Box k-to-1-PCA Reductions: Theory and Applications COLT 2024 Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift NeurIPS 2024 Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models NeurIPS 2024 HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation CVPR 2024 Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise NeurIPS 2024 Mitigating Emergent Robustness Degradation while Scaling Graph Learning ICLR 2024 Multi-agent Collaborative Perception via Motion-aware Robust Communication Network CVPR 2024 On the Computability of Robust PAC Learning COLT 2024