Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
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Updated
Sep 27, 2022 - Python
Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
CrossNorm and SelfNorm for Generalization under Distribution Shifts, ICCV 2021
[NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Animashree Anandkumar, and Zhangyang Wang.
The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.
Official PyTorch Repository of "Tailoring Self-Supervision for Supervised Learning" (ECCV 2022 Paper)
[NeurIPS 2021] "Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks" by Yonggan Fu, Qixuan Yu, Yang Zhang, Shang Wu, Xu Ouyang, David Cox, Yingyan Lin
This repository is an implementation of https://link.springer.com/chapter/10.1007/978-3-030-72699-7_35 article. it uses evolutionary strategy (NSGA-II algorithm specificially) to configure image filters parameters in order to attack adversarially to a neural network.
Code repository for the paper "Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation" with instructions to reproduce the results. Paper accepted by the conference of the Association for Machine Translation in the Americas (AMTA 2022)
Augmentation for CV using frequency shortcuts
Quilt: Robust Data Segment Selection against Concept Drifts (AAAI 2024)
Robust Tickets Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning
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