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Robustness

133 papers

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Papers

Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions CVPR 2023
GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection CVPR 2023
CAP: Robust Point Cloud Classification via Semantic and Structural Modeling CVPR 2023
DISC: Learning From Noisy Labels via Dynamic Instance-Specific Selection and Correction CVPR 2023
Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks CVPR 2023
The Best Defense Is a Good Offense: Adversarial Augmentation Against Adversarial Attacks CVPR 2023
How To Prevent the Continuous Damage of Noises To Model Training? CVPR 2023
A Whac-a-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others CVPR 2023
Dynamic Generative Targeted Attacks With Pattern Injection CVPR 2023
On Robustness of Finetuned Transformer-based NLP Models EMNLP 2023
Your Out-of-Distribution Detection Method is Not Robust! NIPS 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
Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors NIPS 2022
On Feature Learning in the Presence of Spurious Correlations NIPS 2022
MEMO: Test Time Robustness via Adaptation and Augmentation NIPS 2022
Robust Models are less Over-Confident NIPS 2022
Adversarial Attack for Asynchronous Event-Based Data AAAI 2022
Vision Transformers Are Robust Learners AAAI 2022
Combating Adversaries with Anti-adversaries 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
Prediction Difference Regularization against Perturbation for Neural Machine Translation ACL 2022