HaohanWang / HEX
Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out
☆27Updated 4 years ago
Alternatives and similar repositories for HEX
Users that are interested in HEX are comparing it to the libraries listed below
Sorting:
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆56Updated 3 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 3 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- ☆30Updated 7 years ago
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆66Updated 5 years ago
- ☆37Updated 4 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 4 years ago
- "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).☆50Updated 4 years ago
- ☆46Updated 2 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- Automatic model evaluation (AutoEval) in CVPR'21&TPAMI'22☆36Updated 2 years ago
- Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019☆27Updated 5 years ago
- Gradients as Features for Deep Representation Learning☆43Updated 5 years ago
- Learning Robust Global Representations by Penalizing Local Predictive Power (NeurIPS 2019))☆18Updated 2 years ago
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆91Updated 4 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆121Updated 3 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 4 years ago
- CVPR'19 experiments with (on-manifold) adversarial examples.☆45Updated 5 years ago
- ☆21Updated 5 years ago
- ☆30Updated 3 years ago
- ☆46Updated 4 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 3 years ago
- MoCo with Alignment and Uniformity Loss.☆62Updated 3 years ago
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 3 years ago
- Pytorch implementation of regularization methods for deep networks obtained via kernel methods.☆22Updated 5 years ago
- ☆23Updated 3 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Updated 3 years ago
- Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"☆56Updated 4 years ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Updated 2 years ago
- Code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning", Ren et al., NeurIPS'20☆25Updated 4 years ago