singlasahil14 / salient_imagenet
Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?
☆36Updated 2 years ago
Alternatives and similar repositories for salient_imagenet:
Users that are interested in salient_imagenet are comparing it to the libraries listed below
- ☆55Updated 4 years ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆30Updated 4 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- Distilling Model Failures as Directions in Latent Space☆46Updated last year
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆41Updated last year
- Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet☆29Updated last year
- Training vision models with full-batch gradient descent and regularization☆38Updated last year
- Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"☆19Updated last year
- Crowdsourcing metrics and test datasets beyond ImageNet (ICML 2022 workshop)☆37Updated 8 months ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆68Updated 8 months ago
- ☆34Updated 3 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 2 years ago
- The repository for the official Biased Action Recognition (BAR) dataset for the paper Learning from Failure: Training Debiased Classifier…☆30Updated 4 years ago
- ☆107Updated last year
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆52Updated last year
- ☆34Updated 11 months ago
- Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation☆44Updated last year
- The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)☆39Updated 11 months ago
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆47Updated 6 months ago
- ☆24Updated 3 years ago
- ☆40Updated 2 years ago
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated 2 years ago
- ☆43Updated 2 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 2 years ago
- ☆38Updated 3 years ago
- ☆62Updated 3 years ago
- ☆15Updated 2 years ago
- Computing various measures and generalization bounds on convolutional and fully connected networks☆35Updated 6 years ago
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆53Updated 2 years ago