robust learning

When are Local Queries Useful for Robust Learning? NeurIPS 2022 Adversarially Robust Change Point Detection NeurIPS 2021 Adversarially Robust Learning with Unknown Perturbation Sets COLT 2021 CRFL: Certifiably Robust Federated Learning against Backdoor Attacks ICML 2021 DAT: Training Deep Networks Robust To Label-Noise by Matching the Feature Distributions CVPR 2021 DualGraph: A Graph-Based Method for Reasoning About Label Noise CVPR 2021 Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks ICML 2021 GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning AAAI 2021 Improving Unsupervised Image Clustering With Robust Learning CVPR 2021 Jo-SRC: A Contrastive Approach for Combating Noisy Labels CVPR 2021 Learning Deep Neural Networks under Agnostic Corrupted Supervision ICML 2021 Learning from others' mistakes: Avoiding dataset biases without modeling them ICLR 2021 Outlier-Robust Learning of Ising Models Under Dobrushin’s Condition COLT 2021 ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks CVPR 2021 RDA: Robust Domain Adaptation via Fourier Adversarial Attacking ICCV 2021 Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free ICML 2021 Robust Imitation Learning from Noisy Demonstrations AISTATS 2021 Robust Learning for Data Poisoning Attacks ICML 2021 Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear Time ICLR 2021 Robust learning under clean-label attack COLT 2021 Robust Learning under Strong Noise via SQs AISTATS 2021 When Optimizing f-Divergence is Robust with Label Noise ICLR 2021 A General Method for Robust Learning from Batches NeurIPS 2020 Black-box Certification and Learning under Adversarial Perturbations ICML 2020 Curriculum Loss: Robust Learning and Generalization against Label Corruption ICLR 2020