model-robustness

There are 11 repositories under model-robustness topic.

  • textflint

    textflint/textflint

    Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing

    Language:Python641183395

  • amazon-science/crossnorm-selfnorm

    CrossNorm and SelfNorm for Generalization under Distribution Shifts, ICCV 2021

    Language:Python128247

  • VITA-Group/AugMax

    [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.

    Language:Python1248519

  • Jingkang50/ICCV21_SCOOD

    The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.

    Language:Python69259

  • wjun0830/Localizable-Rotation

    Official PyTorch Repository of "Tailoring Self-Supervision for Supervised Learning" (ECCV 2022 Paper)

    Language:Python31533

  • GATECH-EIC/Robust-Scratch-Ticket

    [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

    Language:Python13110

  • amindadgar/adversarial-attacks-using-image-filters

    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.

    Language:Jupyter Notebook4100

  • nis-research/dfmX-augmentation

    Augmentation for CV using frequency shortcuts

    Language:Python3200

  • steventan0110/NMTModelAttack

    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)

    Language:Python3400

  • minsu716-kim/Quilt

    Quilt: Robust Data Segment Selection against Concept Drifts (AAAI 2024)

    Language:Python1100

  • YEthYuan/Transferred-Tickets-Wins

    Robust Tickets Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning

    Language:Jupyter Notebook0100