MadryLab / journey-TRAKLinks
Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"
☆25Updated 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 2 years ago
- Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?☆40Updated 3 years ago
- Intriguing Properties of Data Attribution on Diffusion Models (ICLR 2024)☆34Updated last year
- Host CIFAR-10.2 Data Set☆13Updated 4 years ago
- ☆23Updated last year
- Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet☆32Updated 2 years ago
- ☆31Updated last year
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆105Updated 2 years ago
- A simple and efficient baseline for data attribution☆11Updated last year
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 3 years ago
- ☆55Updated 5 years ago
- ☆34Updated last year
- A fast, effective data attribution method for neural networks in PyTorch☆220Updated 11 months ago
- Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation☆45Updated 2 years ago
- ☆39Updated 3 years ago
- ☆109Updated 2 years ago
- The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)☆41Updated last year
- Training vision models with full-batch gradient descent and regularization☆39Updated 2 years ago
- ☆37Updated 10 months ago
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆59Updated 3 years ago
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆51Updated last year
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆76Updated last year
- ☆18Updated 3 years ago
- ☆14Updated last year
- Preprint: Asymmetry in Low-Rank Adapters of Foundation Models☆35Updated last year
- Data for "Datamodels: Predicting Predictions with Training Data"☆97Updated 2 years ago
- Efficient empirical NTKs in PyTorch☆22Updated 3 years ago
- `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.☆90Updated last week
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated 2 years ago
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 4 years ago