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Robustness

531 papers

Papers per year

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6
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Papers

Robust Ordinal Embedding from Contaminated Relative Comparisons AAAI 2019
Don’t Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference ACL 2019
Improving the Robustness of Question Answering Systems to Question Paraphrasing ACL 2019
Improving Transferability of Adversarial Examples With Input Diversity CVPR 2019
Separate to Adapt: Open Set Domain Adaptation via Progressive Separation CVPR 2019
Robust Subspace Clustering With Independent and Piecewise Identically Distributed Noise Modeling CVPR 2019
Robustness Verification of Classification Deep Neural Networks via Linear Programming CVPR 2019
Retrieval-Augmented Convolutional Neural Networks Against Adversarial Examples CVPR 2019
Evaluating adversarial attacks against multiple fact verification systems EMNLP 2019
Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification EMNLP 2019
Robustness to Capitalization Errors in Named Entity Recognition EMNLP 2019
Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual EMNLP 2019
Wasserstein Distributionally Robust Kalman Filtering NIPS 2018
Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution NIPS 2018
Deep Defense: Training DNNs with Improved Adversarial Robustness NIPS 2018
Robust Hypothesis Testing Using Wasserstein Uncertainty Sets NIPS 2018
Thwarting Adversarial Examples: An $L_0$-Robust Sparse Fourier Transform NIPS 2018
Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms NIPS 2018
Towards Robust Detection of Adversarial Examples NIPS 2018
Adversarially Robust Generalization Requires More Data NIPS 2018
Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data ACL 2018
Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors CVPR 2018
Defense Against Universal Adversarial Perturbations CVPR 2018
Exploring Generalization in Deep Learning NIPS 2017
Lower bounds on the robustness to adversarial perturbations NIPS 2017