tingxueronghua / pytorch-classification-advpropLinks
☆108Updated 3 years ago
Alternatives and similar repositories for pytorch-classification-advprop
Users that are interested in pytorch-classification-advprop are comparing it to the libraries listed below
Sorting:
- Implementation for the paper (CVPR Oral): High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks☆242Updated 4 years ago
- Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"☆143Updated 5 years ago
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆66Updated 6 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Updated 3 years ago
- This is the official implementation of Self-Challenging Improves Cross-Domain Generalization, ECCV2020☆165Updated 4 years ago
- "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).☆51Updated 4 years ago
- [NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang☆115Updated 3 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆107Updated 4 years ago
- PyTorch custom dataset APIs -- CUB-200-2011, Stanford Dogs, Stanford Cars, FGVC Aircraft, NABirds, Tiny ImageNet, iNaturalist2017☆158Updated 2 years ago
- Improving Calibration for Long-Tailed Recognition (CVPR2021)☆150Updated 4 years ago
- Code for our paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective" (ICML 2020)☆125Updated 2 years ago
- Further improve robustness of mixup-trained models in inference (ICLR 2020)☆60Updated 5 years ago
- Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)☆109Updated 5 years ago
- [TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training☆130Updated 4 years ago
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆58Updated 6 years ago
- [ CVPR 2021 Oral ] Pytorch implementation for "Adversarial Robustness under Long-Tailed Distribution"☆102Updated 4 years ago
- [ICLR 2021 Spotlight Oral] "Undistillable: Making A Nasty Teacher That CANNOT teach students", Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Che…☆82Updated 3 years ago
- Code and pretrained models for paper: Data-Free Adversarial Distillation☆99Updated 2 years ago
- Code for 'Joint Optimization Framework for Learning with Noisy Labels'☆39Updated 7 years ago
- Code and models for the paper Shape-Texture Debiased Neural Network Training (ICLR 2021)☆110Updated 2 years ago
- This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113☆57Updated 2 years ago
- PyTorch implementation of "Feature Denoising for Improving Adversarial Robustness" on CIFAR10.☆35Updated 5 years ago
- Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"☆56Updated 5 years ago
- Code for the paper "M2m: Imbalanced Classification via Major-to-minor Translation" (CVPR 2020)☆95Updated 4 years ago
- Smooth Adversarial Training☆68Updated 5 years ago
- Empirical tricks for training robust models (ICLR 2021)☆257Updated 2 years ago
- Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.☆152Updated 3 years ago
- Unofficial pytorch implementation of Fourier Heat Map proposed in 'A Fourier Perspective on Model Robustness in Computer Vision' [Yin+, N…☆75Updated last year
- [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
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆96Updated 4 years ago