MadryLab / journey-TRAKLinks
Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"
☆24Updated last year
Alternatives and similar repositories for journey-TRAK
Users that are interested in journey-TRAK are comparing it to the libraries listed below
Sorting:
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- ☆31Updated last year
- Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?☆40Updated 2 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆97Updated 2 years ago
- Host CIFAR-10.2 Data Set☆13Updated 3 years ago
- ☆55Updated 4 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 3 years ago
- Provably (and non-vacuously) bounding test error of deep neural networks under distribution shift with unlabeled test data.☆10Updated last year
- Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet☆32Updated last year
- Intriguing Properties of Data Attribution on Diffusion Models (ICLR 2024)☆31Updated last year
- ☆34Updated last year
- Distilling Model Failures as Directions in Latent Space☆47Updated 2 years ago
- ☆29Updated 2 years ago
- ☆107Updated last year
- What do we learn from inverting CLIP models?☆55Updated last year
- ☆22Updated 11 months ago
- ☆60Updated 3 years ago
- Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]☆28Updated last year
- Training vision models with full-batch gradient descent and regularization☆37Updated 2 years ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆31Updated 5 years ago
- Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation☆45Updated 2 years ago
- ☆35Updated 6 months ago
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆102Updated 2 years ago
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆57Updated 2 years ago
- A fast, effective data attribution method for neural networks in PyTorch☆212Updated 7 months ago
- ☆40Updated 2 years ago
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 3 years ago
- The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)☆41Updated last year
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated 2 years ago
- ☆62Updated 4 years ago