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Robustness

529 directly classified papers

Papers per year

Papers

Don’t Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques EMNLP 2021
Secoco: Self-Correcting Encoding for Neural Machine Translation EMNLP 2021
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates EMNLP 2021
Robustness and Adversarial Examples in Natural Language Processing EMNLP 2021
ONION: A Simple and Effective Defense Against Textual Backdoor Attacks EMNLP 2021
RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models EMNLP 2021
Competency Problems: On Finding and Removing Artifacts in Language Data EMNLP 2021
Sorting through the noise: Testing robustness of information processing in pre-trained language models EMNLP 2021
Evaluating the Robustness of Neural Language Models to Input Perturbations EMNLP 2021
Shortcutted Commonsense: Data Spuriousness in Deep Learning of Commonsense Reasoning EMNLP 2021
How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs? EMNLP 2021
How Robust Are Randomized Smoothing Based Defenses to Data Poisoning? CVPR 2021
Understanding the Robustness of Skeleton-Based Action Recognition Under Adversarial Attack CVPR 2021
Regularizing Attention Networks for Anomaly Detection in Visual Question Answering AAAI 2021
Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations AAAI 2021
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation AAAI 2021
Fast Training of Provably Robust Neural Networks by SingleProp AAAI 2021
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness AAAI 2021
Self-Progressing Robust Training AAAI 2021
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations AAAI 2021
Scaling-Up Robust Gradient Descent Techniques AAAI 2021
Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks AAAI 2021
Stable Adversarial Learning under Distributional Shifts AAAI 2021
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries AAAI 2021
Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks AAAI 2021