conftrace_
← Learning Types
Machine Learning › Learning Types ›

Robustness

531 papers

Papers per year

2
6
59
51
'10
'15
'20
'25

Papers

Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization NIPS 2020
How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19? NIPS 2020
Reducing Adversarially Robust Learning to Non-Robust PAC Learning NIPS 2020
Distributionally Robust Federated Averaging NIPS 2020
Distributionally Robust Local Non-parametric Conditional Estimation NIPS 2020
Robustness of Bayesian Neural Networks to Gradient-Based Attacks NIPS 2020
Probably Approximately Correct Constrained Learning NIPS 2020
Lipschitz-Certifiable Training with a Tight Outer Bound NIPS 2020
Identifying Mislabeled Data using the Area Under the Margin Ranking NIPS 2020
Task-Robust Model-Agnostic Meta-Learning NIPS 2020
Hiding in Multilayer Networks AAAI 2020
Generating Adversarial Examples for Holding Robustness of Source Code Processing Models AAAI 2020
Detecting Semantic Anomalies AAAI 2020
Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis AAAI 2020
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples AAAI 2020
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness AAAI 2020
Robust Federated Learning via Collaborative Machine Teaching AAAI 2020
Stable Prediction with Model Misspecification and Agnostic Distribution Shift AAAI 2020
Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation AAAI 2020
Self-Supervised Learning for Generalizable Out-of-Distribution Detection AAAI 2020
Towards Certificated Model Robustness Against Weight Perturbations AAAI 2020
Identifying Model Weakness with Adversarial Examiner AAAI 2020
Recognizing Instagram Filtered Images with Feature De-Stylization AAAI 2020
Attribute Noise Robust Binary Classification (Student Abstract) AAAI 2020
Supervised Discovery of Unknown Unknowns through Test Sample Mining (Student Abstract) AAAI 2020