MadryLab / journey-TRAKLinks
Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"
☆25Updated 2 years ago
Alternatives and similar repositories for journey-TRAK
Users that are interested in journey-TRAK are comparing it to the libraries listed below
Sorting:
- Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?☆40Updated 3 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated 2 years ago
- Host CIFAR-10.2 Data Set☆13Updated 4 years ago
- Training vision models with full-batch gradient descent and regularization☆39Updated 2 years ago
- Intriguing Properties of Data Attribution on Diffusion Models (ICLR 2024)☆35Updated last year
- A simple and efficient baseline for data attribution☆11Updated 2 years ago
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆107Updated 2 years ago
- ☆39Updated 3 years ago
- What do we learn from inverting CLIP models?☆57Updated last year
- ☆32Updated last year
- ☆34Updated last year
- Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet☆32Updated 2 years ago
- The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)☆42Updated last year
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆37Updated 3 years ago
- ☆37Updated last year
- A fast, effective data attribution method for neural networks in PyTorch☆223Updated last year
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆59Updated 3 years ago
- Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation☆45Updated 2 years ago
- ☆23Updated last year
- ☆55Updated 5 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆97Updated 2 years ago
- ☆14Updated last year
- Efficient empirical NTKs in PyTorch☆22Updated 3 years ago
- Distilling Model Failures as Directions in Latent Space☆47Updated 2 years ago
- ☆110Updated 2 years ago
- Understanding Rare Spurious Correlations in Neural Network☆12Updated 3 years ago
- Pytorch ImageNet1k Loader with Bounding Boxes.☆13Updated 3 years ago
- ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."☆119Updated 2 years ago
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 4 years ago
- ☆80Updated 3 years ago