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.☆91Updated last year
- Data for "Datamodels: Predicting Predictions with Training Data"☆97Updated 2 years ago
- ☆62Updated 4 years ago
- ☆31Updated last year
- ☆30Updated 2 years ago
- A fast, effective data attribution method for neural networks in PyTorch☆217Updated 9 months ago
- Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature☆160Updated 2 months ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆82Updated last year
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…☆46Updated last year
- Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…☆108Updated last year
- ☆18Updated last year
- ☆89Updated 3 months ago
- Code for the paper "Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression"☆21Updated 2 years ago
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆59Updated last year
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 3 years ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆31Updated 5 years ago
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 4 years ago
- Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.☆53Updated 2 years ago
- ☆55Updated 5 years ago
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆81Updated last year
- `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.☆84Updated 2 months ago
- ☆70Updated 8 months ago
- ☆46Updated 2 years ago
- NeuroSurgeon is a package that enables researchers to uncover and manipulate subnetworks within models in Huggingface Transformers☆41Updated 6 months ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆59Updated 2 years ago
- The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…☆67Updated 2 years ago
- ☆238Updated last year
- "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)☆87Updated last year
- ☆36Updated 3 years ago