YanNeu / spurious_imagenetLinks
Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet
☆32Updated last year
Alternatives and similar repositories for spurious_imagenet
Users that are interested in spurious_imagenet are comparing it to the libraries listed below
Sorting:
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?☆40Updated 2 years ago
- Distilling Model Failures as Directions in Latent Space☆47Updated 2 years ago
- Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"☆22Updated last year
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆48Updated 11 months ago
- ☆40Updated 2 years ago
- Official codebase for the NeurIPS 2023 paper: Towards Last-layer Retraining for Group Robustness with Fewer Annotations. https://arxiv.or…☆11Updated last year
- ☆27Updated last year
- ☆107Updated last year
- ☆45Updated 2 years ago
- Host CIFAR-10.2 Data Set☆13Updated 3 years ago
- ☆29Updated 2 years ago
- [NeurIPS'22] Official Repository for Characterizing Datapoints via Second-Split Forgetting☆15Updated last year
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆52Updated 2 years ago
- A simple and efficient baseline for data attribution☆11Updated last year
- SpuCo is a Python package developed to further research to address spurious correlations.☆24Updated 5 months ago
- Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]☆20Updated last year
- Official code for "Can We Talk Models Into Seeing the World Differently?" (ICLR 2025).☆25Updated 5 months ago
- ☆14Updated last year
- What do we learn from inverting CLIP models?☆55Updated last year
- Intriguing Properties of Data Attribution on Diffusion Models (ICLR 2024)☆31Updated last year
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated 2 years ago
- Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"☆24Updated last year
- ☆34Updated last year
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 3 years ago
- Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation☆45Updated 2 years ago
- ☆55Updated 4 years ago
- LISA for ICML 2022☆49Updated 2 years ago
- ☆30Updated 11 months ago
- Post-processing for fair classification☆15Updated 2 months ago