Robust Learning

L2B: Learning to Bootstrap Robust Models for Combating Label Noise CVPR 2024 Learning from Noisy Labels via Conditional Distributionally Robust Optimization NeurIPS 2024 Learning to Reweight for Generalizable Graph Neural Network AAAI 2024 NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition EMNLP 2024 NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise NeurIPS 2024 On the Computability of Robust PAC Learning COLT 2024 Robust variance-regularized risk minimization with concomitant scaling AISTATS 2024 Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models NeurIPS 2024 Testable Learning of General Halfspaces with Adversarial Label Noise COLT 2024 Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise AAAI 2024 Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions NeurIPS 2024 A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise AAAI 2023 Combating Bilateral Edge Noise for Robust Link Prediction NeurIPS 2023 Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering EMNLP 2023 Corruption-Tolerant Algorithms for Generalized Linear Models AAAI 2023 Denoising after Entropy-Based Debiasing a Robust Training Method for Dataset Bias with Noisy Labels AAAI 2023 Denoising Multi-Similarity Formulation: A Self-Paced Curriculum-Driven Approach for Robust Metric Learning AAAI 2023 Distribution-Independent Regression for Generalized Linear Models with Oblivious Corruptions COLT 2023 Efficient Testable Learning of Halfspaces with Adversarial Label Noise NeurIPS 2023 Multiple Robust Learning for Recommendation AAAI 2023 Outlier Robust Adversarial Training ACML 2023 Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning CVPR 2023 Reaching Kesten-Stigum Threshold in the Stochastic Block Model under Node Corruptions COLT 2023 Robust Domain Adaptation for Machine Reading Comprehension AAAI 2023 Wasserstein Distributionally Robust Linear-Quadratic Estimation under Martingale Constraints AISTATS 2023