model robustness

Look to the Right: Mitigating Relative Position Bias in Extractive Question Answering EMNLP 2022 Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class NeurIPS 2022 Measure and Improve Robustness in NLP Models: A Survey NAACL 2022 MEMO: Test Time Robustness via Adaptation and Augmentation NeurIPS 2022 Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants NAACL 2022 Models Out of Line: A Fourier Lens on Distribution Shift Robustness NeurIPS 2022 MORA: Improving Ensemble Robustness Evaluation with Model Reweighing Attack NeurIPS 2022 Multitasking Models are Robust to Structural Failure: A Neural Model for Bilingual Cognitive Reserve NeurIPS 2022 NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? EMNLP 2022 Noisy Feature Mixup ICLR 2022 On Length Divergence Bias in Textual Matching Models ACL 2022 On the Robustness of Offensive Language Classifiers ACL 2022 On the Robustness of Reading Comprehension Models to Entity Renaming NAACL 2022 PARSE: An Efficient Search Method for Black-box Adversarial Text Attacks COLING 2022 Particle-based Adversarial Local Distribution Regularization AISTATS 2022 Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training EMNLP 2022 PlugAT: A Plug and Play Module to Defend against Textual Adversarial Attack COLING 2022 Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation EMNLP 2022 Pyramid Adversarial Training Improves ViT Performance CVPR 2022 Recent improvements of ASR models in the face of adversarial attacks Interspeech 2022 Retrieval-guided Counterfactual Generation for QA ACL 2022 Robust Models are less Over-Confident NeurIPS 2022 Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions EMNLP 2022 RoChBert: Towards Robust BERT Fine-tuning for Chinese EMNLP 2022 Self-ensemble Adversarial Training for Improved Robustness ICLR 2022