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Robustness

83 directly classified papers

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Papers

DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization ACL 2023
Evaluating Paraphrastic Robustness in Textual Entailment Models ACL 2023
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models ACL 2023
HuaSLIM: Human Attention Motivated Shortcut Learning Identification and Mitigation for Large Language models ACL 2023
DISC: Learning From Noisy Labels via Dynamic Instance-Specific Selection and Correction CVPR 2023
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases NIPS 2023
Robustness Guarantees for Adversarially Trained Neural Networks NIPS 2023
Prediction Difference Regularization against Perturbation for Neural Machine Translation ACL 2022
Vision Transformers Are Robust Learners AAAI 2022
Efficient Robust Training via Backward Smoothing AAAI 2022
On the Impact of Spurious Correlation for Out-of-Distribution Detection AAAI 2022
The King Is Naked: On the Notion of Robustness for Natural Language Processing AAAI 2022
On the Robustness of Question Rewriting Systems to Questions of Varying Hardness ACL 2022
Interpreting the Robustness of Neural NLP Models to Textual Perturbations ACL 2022
Robust Image Forgery Detection Over Online Social Network Shared Images CVPR 2022
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures CVPR 2022
Certified Patch Robustness via Smoothed Vision Transformers CVPR 2022
Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions EMNLP 2022
Machine Translation Robustness to Natural Asemantic Variation EMNLP 2022
Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples EMNLP 2022
Does Self-Rationalization Improve Robustness to Spurious Correlations? EMNLP 2022
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning EMNLP 2022
Exploring Robustness of Prefix Tuning in Noisy Data: A Case Study in Financial Sentiment Analysis EMNLP 2022
Hard ImageNet: Segmentations for Objects with Strong Spurious Cues NIPS 2022
Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness NIPS 2022