MadryLab / backgrounds_challenge
☆140Updated 4 years ago
Alternatives and similar repositories for backgrounds_challenge:
Users that are interested in backgrounds_challenge are comparing it to the libraries listed below
- ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."☆118Updated last year
- The repository for the official Biased Action Recognition (BAR) dataset for the paper Learning from Failure: Training Debiased Classifier…☆32Updated 4 years ago
- ImageNet-R(endition) and DeepAugment (ICCV 2021)☆264Updated 3 years ago
- A PyTorch converter for SimCLR checkpoints☆109Updated 4 years ago
- Crowdsourcing metrics and test datasets beyond ImageNet (ICML 2022 workshop)☆38Updated 11 months ago
- ☆55Updated 4 years ago
- ☆73Updated 5 years ago
- MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)☆109Updated 2 years ago
- [NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Z…☆125Updated 3 years ago
- PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)☆106Updated 2 years ago
- Original dataset release for CIFAR-10H☆82Updated 4 years ago
- Analyzing basic network responses to novel classes☆39Updated 3 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- [CVPR2019]Learning Not to Learn : An adversarial method to train deep neural networks with biased data☆111Updated 4 years ago
- ☆107Updated 3 years ago
- Trained model weights, training and evaluation code from the paper "A simple way to make neural networks robust against diverse image cor…☆61Updated last year
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆69Updated 2 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Updated 3 years ago
- Learning to See by Looking at Noise☆109Updated 5 months ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆103Updated 3 years ago
- Compressing Representations for Self-Supervised Learning☆78Updated 4 years ago
- The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)☆39Updated last year
- [TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training☆129Updated 3 years ago
- ☆34Updated 3 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆56Updated 3 years ago
- Robust Out-of-distribution Detection in Neural Networks☆72Updated 3 years ago
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆91Updated 4 years ago
- ☆107Updated last year
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- REPresentAtion bIas Removal (REPAIR) of datasets☆56Updated 2 years ago