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Robustness

531 papers

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Papers

Findings of the WMT 2020 Shared Task on Machine Translation Robustness EMNLP 2020
Noisy Text Data: Achilles’ Heel of BERT EMNLP 2020
On the Robustness of Data-Driven Controllers for Linear Systems L4DC 2020
Lower Bounds on Adversarial Robustness from Optimal Transport NIPS 2019
A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression NIPS 2019
Distributionally Robust Optimization and Generalization in Kernel Methods NIPS 2019
Learning from brains how to regularize machines NIPS 2019
On the Hardness of Robust Classification NIPS 2019
Selecting Optimal Decisions via Distributionally Robust Nearest-Neighbor Regression NIPS 2019
On Robustness of Principal Component Regression NIPS 2019
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering NIPS 2019
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty NIPS 2019
A Family of Robust Stochastic Operators for Reinforcement Learning NIPS 2019
Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection NIPS 2019
Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs NIPS 2019
Iterative Least Trimmed Squares for Mixed Linear Regression NIPS 2019
Robustness Verification of Tree-based Models NIPS 2019
Adversarial Examples Are Not Bugs, They Are Features NIPS 2019
Certifiable Robustness to Graph Perturbations NIPS 2019
Outlier-robust estimation of a sparse linear model using $\ell_1$-penalized Huber's $M$-estimator NIPS 2019
Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers NIPS 2019
Verifying Robustness of Gradient Boosted Models AAAI 2019
Sensitivity Analysis of Deep Neural Networks AAAI 2019
What if We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks AAAI 2019
Robustness Guarantees for Bayesian Inference with Gaussian Processes AAAI 2019