Alternatives and similar repositories for CommonFeatureLearning

Users that are interested in CommonFeatureLearning are comparing it to the libraries listed below

• zju-vipa / MosaicKD
  [NeurIPS-2021] Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
  ☆45Updated 2 years ago
• tingxueronghua / pytorch-classification-advprop
  ☆108Updated 3 years ago
• alsdml / StyleMix
  ☆33Updated 4 years ago
• bolianchen / Data-Free-Learning-of-Student-Networks
  ☆22Updated 4 years ago
• VITA-Group / Once-for-All-Adversarial-Training
  [NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong C…
  ☆44Updated 3 years ago
• gatheluck / FourierHeatmap
  Unofficial pytorch implementation of Fourier Heat Map proposed in 'A Fourier Perspective on Model Robustness in Computer Vision' [Yin+, N…
  ☆75Updated last year
• luoyan407 / congruency
  [TPAMI 2019] The implementation for "Direction Concentration Learning: Enhancing Congruency in Machine Learning"
  ☆23Updated 5 years ago
• iCGY96 / APR
  [ICCV 2021] Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain
  ☆79Updated 3 years ago
• LightDXY / GreedyFool
  GreedyFool (NIPS2020) official code for saprse adversarial attack
  ☆37Updated 4 years ago
• jiawangbai / DHTA-master
  The implementatin of our ECCV 2020 work: Targeted Attack for Deep Hashing based Retrieval.
  ☆28Updated 4 years ago
• vtddggg / Robust-Vision-Transformer
  The implementation of our paper: Towards Robust Vision Transformer (CVPR2022)
  ☆142Updated 3 years ago
• VITA-Group / Adv-SS-Pretraining
  [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
  ☆85Updated 3 years ago
• garyzhao / ME-ADA
  "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).
  ☆51Updated 4 years ago
• VainF / Data-Free-Adversarial-Distillation
  Code and pretrained models for paper: Data-Free Adversarial Distillation
  ☆99Updated 2 years ago
• HAHA-DL / Episodic-DG
  This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113
  ☆57Updated 2 years ago
• meijieru / fast_advprop
  [ICLR 2022]: Fast AdvProp
  ☆35Updated 3 years ago
• A-LinCui / DenoisingNet_Adversarial_Training
  PyTorch implementation of "Feature Denoising for Improving Adversarial Robustness" on CIFAR10.
  ☆35Updated 5 years ago
• youjiangxu / FaMUS
  ☆28Updated 3 years ago
• AnTuo1998 / AE-KD
  ☆27Updated 4 years ago
• njulus / REFILLED
  This is the code of CVPR'20 paper "Distilling Cross-Task Knowledge via Relationship Matching".
  ☆49Updated 4 years ago
• rshaojimmy / OSAD
  [ECCV 2020] Pytorch codes for Open-set Adversarial Defense
  ☆21Updated 3 years ago
• Jingkang50 / ICCV21_SCOOD
  The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.
  ☆70Updated 3 years ago
• LiYingwei / ShapeTextureDebiasedTraining
  Code and models for the paper Shape-Texture Debiased Neural Network Training (ICLR 2021)
  ☆108Updated 2 years ago
• ShipengWang / Adam-NSCL
  PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"
  ☆65Updated 4 years ago
• bfshi / InfoDrop
  Code for our paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective" (ICML 2020)
  ☆125Updated 2 years ago
• Muzammal-Naseer / TTP
  Official repository for "On Generating Transferable Targeted Perturbations" (ICCV 2021)
  ☆62Updated 2 years ago
• da2so / Data-Free_Network_Quantization_With_Adversarial_Knowledge_Distillation
  Data-Free Network Quantization With Adversarial Knowledge Distillation PyTorch
  ☆30Updated 4 years ago
• kaiwang960112 / CAFE
  This is a method of dataset condensation, and it has been accepted by CVPR-2022.
  ☆71Updated last year
• kakaoenterprise / Learning-Debiased-Disentangled
  Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"
  ☆103Updated 2 years ago
• NVlabs / CSG
  ☆28Updated 4 years ago