model-robustness

There are 0 repository under model-robustness topic.

• textflint

  textflint / textflint

  Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing

  model-robustnessadversarial-samplestext-transformationstext-augmentationrobustness-analysisdata-augmentationtransformationsubpopulationattack
  Language:Python 630

• amazon-science / crossnorm-selfnorm

  CrossNorm and SelfNorm for Generalization under Distribution Shifts, ICCV 2021

  normalizationmodel-robustnesscomputer-visionnatural-language-processingdomain-generalizationdomain-adaptationiccv-2021
  Language:Python 124

• 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.

  imagenet-cmodel-robustnessadversarial-learningnormalization-techniquesout-of-distribution
  Language:Python 124

• Jingkang50 / ICCV21_SCOOD

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

  computer-visionout-of-distribution-detectionoodood-detectionmodel-robustnessout-of-distribution
  Language:Python 68

• wjun0830 / Localizable-Rotation

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

  data-augmentationdeep-learninglong-tailed-recognitionmodel-robustnessout-of-distribution-detectionself-supervised-learning
  Language:Python 28

• 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

  model-robustnesslottery-ticket-hypothesis
  Language:Python 13

• 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.

  adversarial-attackscifar-10cifar10image-filterskeraskeras-tensorflowmodel-robustnessnsga-iioptimizationpymootensorflow
  Language:Jupyter Notebook 4

• 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)

  machine-translationadversarial-attacksmodel-robustness
  Language:Python 3

• nis-research / dfmX-augmentation

  Augmentation for CV using frequency shortcuts

  adversarial-defensedata-augmentationdata-augmentation-strategiesfourier-transformfrequency-analysisgeneralizationmodel-robustnessrobustnessshortcut-learning
  Language:Python 2

• minsu716-kim / Quilt

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

  artificial-intelligenceconcept-driftdata-centric-aidata-selectionmachine-learningmodel-robustnessresponsible-airobustnessrobustness-airobustness-mldistribution-shift
  Language:Python 1

• YEthYuan / Transferred-Tickets-Wins

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

  lottery-ticket-hypothesismodel-robustness
  Language:Jupyter Notebook 0