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model robustness

478 papers

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adversarial attack (1599) adversarial training (1261) adversarial robustness (1335) text classification (6776) adversarial example (563) data augmentation (3037) large language model (12755) adversarial learning (1592) natural language processing (2027) domain generalization (1517)

Papers

Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance ACL 2020
It’s Morphin’ Time! Combating Linguistic Discrimination with Inflectional Perturbations ACL 2020
Supervised Discovery of Unknown Unknowns through Test Sample Mining (Student Abstract) AAAI 2020
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment AAAI 2020
Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free NIPS 2020
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles NIPS 2020
ILFO: Adversarial Attack on Adaptive Neural Networks CVPR 2020
TextAttack: Lessons learned in designing Python frameworks for NLP EMNLP 2020
Single-Step Adversarial Training With Dropout Scheduling CVPR 2020
Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness CVPR 2020
On Isometry Robustness of Deep 3D Point Cloud Models Under Adversarial Attacks CVPR 2020
Adversarial Examples Improve Image Recognition CVPR 2020
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning CVPR 2020
Adversarial Robustness for Code ICML 2020
Enhance Robustness of Sequence Labelling with Masked Adversarial Training EMNLP 2020
Robustness to Modification with Shared Words in Paraphrase Identification EMNLP 2020
Using Pre-Training Can Improve Model Robustness and Uncertainty ICML 2019
Interpretation of Neural Networks Is Fragile AAAI 2019
On the use of BERT for Neural Machine Translation EMNLP 2019
Defending Against Adversarial Attacks by Randomized Diversification CVPR 2019
Don’t Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference ACL 2019
Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases EMNLP 2019
Robustness to Capitalization Errors in Named Entity Recognition EMNLP 2019
Improving the Robustness of Deep Reading Comprehension Models by Leveraging Syntax Prior EMNLP 2019
A Novel Framework for Robustness Analysis of Visual QA Models AAAI 2019