alstonlo / torch-influence
A simple PyTorch implementation of influence functions.
☆84Updated 7 months ago
Alternatives and similar repositories for torch-influence:
Users that are interested in torch-influence are comparing it to the libraries listed below
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆66Updated 10 months ago
- `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.☆55Updated 2 weeks ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆68Updated 8 months ago
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆45Updated 7 months ago
- ☆58Updated 3 years ago
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆57Updated 3 months ago
- Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature☆120Updated 5 months ago
- ☆50Updated last year
- A fast, effective data attribution method for neural networks in PyTorch☆187Updated last month
- Certified Removal from Machine Learning Models☆63Updated 3 years ago
- ☆22Updated 5 years ago
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆16Updated 4 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 3 years ago
- ☆62Updated 3 years ago
- Official Repository for ICML 2023 paper "Can Neural Network Memorization Be Localized?"☆17Updated last year
- ☆28Updated last year
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆67Updated 10 months ago
- ☆43Updated 5 months ago
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆90Updated last month
- Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)☆18Updated last year
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆73Updated 2 years ago
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆19Updated 3 months ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆30Updated 4 years ago
- Official code repository for Correct-N-Contrast☆20Updated 2 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆41Updated last year
- Data for "Datamodels: Predicting Predictions with Training Data"☆94Updated last year
- ☆86Updated last year
- ☆34Updated 11 months ago
- A Python Data Valuation Package☆28Updated last year
- ☆30Updated 3 weeks ago