deeplearning-wisc / vit-spurious-robustnessLinks
☆27Updated 2 years ago
Alternatives and similar repositories for vit-spurious-robustness
Users that are interested in vit-spurious-robustness are comparing it to the libraries listed below
Sorting:
- This repo implements the CVPR23 paper Trainable Projected Gradient Method for Robust Fine-tuning☆24Updated last year
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated 2 years ago
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated 2 years ago
- ☆44Updated 6 months ago
- ☆49Updated 2 years ago
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 3 years ago
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆92Updated 4 years ago
- Code for 'CausalAdv: Adversarial Robustness Through the Lens of Causality'☆43Updated last year
- ☆12Updated 3 years ago
- ☆23Updated 3 years ago
- Official Implementation of LADS (Latent Augmentation using Domain descriptionS)☆52Updated 2 years ago
- "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).☆51Updated 4 years ago
- The official PyTorch Implementation of the Paper "Adversarial Visual Robustness by Causal Intervention"☆18Updated 4 years ago
- Code Release for Learning to Adapt to Evolving Domains☆31Updated 4 years ago
- Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"☆32Updated 3 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 3 years ago
- Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)☆25Updated 2 years ago
- Demonstrates failures of bias mitigation methods under varying types/levels of biases (WACV 2021)☆25Updated last year
- ☆27Updated last year
- This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.☆22Updated 3 years ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆36Updated 2 years ago
- ☆28Updated 4 years ago
- The repository for the official Biased Action Recognition (BAR) dataset for the paper Learning from Failure: Training Debiased Classifier…☆34Updated 4 years ago
- ☆28Updated 2 years ago
- ☆30Updated 2 years ago
- A curated list of papers & resources linked to concept learning☆13Updated 2 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72Updated last year
- [NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang☆114Updated 3 years ago
- Code for Debiasing Vision-Language Models via Biased Prompts☆57Updated 2 years ago
- LISA for ICML 2022☆51Updated 2 years ago