alstonlo / torch-influenceLinks
A simple PyTorch implementation of influence functions.
☆91Updated last year
Alternatives and similar repositories for torch-influence
Users that are interested in torch-influence are comparing it to the libraries listed below
Sorting:
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆83Updated last year
- A fast, effective data attribution method for neural networks in PyTorch☆221Updated last year
- ☆63Updated 3 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72Updated last year
- `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.☆95Updated last week
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆51Updated last year
- Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature☆171Updated 5 months ago
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆77Updated last year
- Official Repository for ICML 2023 paper "Can Neural Network Memorization Be Localized?"☆20Updated 2 years ago
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆17Updated 5 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆36Updated 3 years ago
- ☆62Updated 4 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated 2 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆97Updated 2 years ago
- ☆80Updated 3 years ago
- ☆34Updated last year
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆99Updated 10 months ago
- ☆32Updated last year
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆23Updated 6 months ago
- Certified Removal from Machine Learning Models☆69Updated 4 years ago
- ☆50Updated 2 years ago
- Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)☆20Updated 2 years ago
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆77Updated 3 years ago
- Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?☆40Updated 3 years ago
- ☆31Updated 2 years ago
- Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"☆16Updated 3 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆51Updated 4 years ago
- Distributionally robust neural networks for group shifts☆286Updated 2 years ago
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆59Updated 3 years ago
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆107Updated 2 years ago