google-research / jax-influenceLinks
☆60Updated 3 years ago
Alternatives and similar repositories for jax-influence
Users that are interested in jax-influence are comparing it to the libraries listed below
Sorting:
- A simple PyTorch implementation of influence functions.☆88Updated 11 months ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- ☆28Updated 2 years ago
- Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…☆106Updated last year
- ☆62Updated 3 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆97Updated 2 years ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆78Updated last year
- ☆89Updated last month
- ☆36Updated 2 years ago
- ☆30Updated 10 months ago
- ☆67Updated 3 years ago
- Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"☆22Updated last year
- A simple Jax implementation of influence functions.☆16Updated last year
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆76Updated last year
- `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.☆75Updated last month
- Code for "Tracing Knowledge in Language Models Back to the Training Data"☆38Updated 2 years ago
- Implementation of Influence Function approximations for differently sized ML models, using PyTorch☆15Updated last year
- Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature☆153Updated 10 months ago
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 4 years ago
- ☆35Updated last year
- A fast, effective data attribution method for neural networks in PyTorch☆211Updated 6 months ago
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 3 years ago
- Conformal Language Modeling☆29Updated last year
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- ☆55Updated 4 years ago
- The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…☆46Updated last year
- Code for the paper "Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression"☆21Updated last year
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆31Updated 4 years ago
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆67Updated 8 months ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72Updated last year