robust learning

Data Valuation using Reinforcement Learning ICML 2020 How Does Context Matter? On the Robustness of Event Detection with Context-Selective Mask Generalization EMNLP 2020 Label Distribution for Learning with Noisy Labels IJCAI 2020 Leakage-Robust Classifier via Mask-Enhanced Training (Student Abstract) AAAI 2020 New Efficient Multi-Spike Learning for Fast Processing and Robust Learning AAAI 2020 Recovery of sparse linear classifiers from mixture of responses NeurIPS 2020 Reducing Adversarially Robust Learning to Non-Robust PAC Learning NeurIPS 2020 Robust Federated Learning via Collaborative Machine Teaching AAAI 2020 Robust guarantees for learning an autoregressive filter ALT 2020 Robust high dimensional learning for Lipschitz and convex losses JMLR 2020 SIGUA: Forgetting May Make Learning with Noisy Labels More Robust ICML 2020 A Robust Learning Approach to Domain Adaptive Object Detection ICCV 2019 Improved Generalization Bounds for Robust Learning ALT 2019 Learning from Bad Data via Generation NeurIPS 2019 Learning with Bad Training Data via Iterative Trimmed Loss Minimization ICML 2019 On the Hardness of Robust Classification NeurIPS 2019 Robust Graph Embedding with Noisy Link Weights AISTATS 2019 Robust Learning from Untrusted Sources ICML 2019 Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback ICML 2019 Do Outliers Ruin Collaboration? ICML 2018 Online Robust Policy Learning in the Presence of Unknown Adversaries NeurIPS 2018 Robust Learning of Fixed-Structure Bayesian Networks NeurIPS 2018 R-SVM+: Robust Learning with Privileged Information IJCAI 2018 Distral: Robust multitask reinforcement learning NeurIPS 2017 Predicting with Distributions COLT 2017