aw31 / empirical-ntks
Efficient empirical NTKs in PyTorch
☆18Updated 2 years ago
Alternatives and similar repositories for empirical-ntks:
Users that are interested in empirical-ntks are comparing it to the libraries listed below
- ☆65Updated 3 months ago
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆97Updated last year
- ☆89Updated last month
- Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature☆139Updated 7 months ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- ☆28Updated 8 months ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- ☆60Updated 3 years ago
- `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.☆68Updated last month
- Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"☆22Updated last year
- Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…☆15Updated 4 months ago
- Align your LM to express calibrated verbal statements of confidence in its long-form generations.☆21Updated 9 months ago
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆63Updated 5 months ago
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 3 years ago
- official code for paper Probing the Decision Boundaries of In-context Learning in Large Language Models. https://arxiv.org/abs/2406.11233…☆16Updated 6 months ago
- Distilling Model Failures as Directions in Latent Space☆46Updated 2 years ago
- ☆21Updated 6 months ago
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆47Updated 9 months ago
- [ICLR 2025] Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization☆23Updated 2 months ago
- ☆29Updated last year
- Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…☆104Updated last year
- Universal Neurons in GPT2 Language Models☆27Updated 9 months ago
- Pytorch code for experiments on Linear Transformers☆20Updated last year
- ☆65Updated 3 years ago
- ☆61Updated 4 months ago
- Sparse Autoencoder Training Library☆43Updated 4 months ago
- NeuroSurgeon is a package that enables researchers to uncover and manipulate subnetworks within models in Huggingface Transformers☆39Updated last month
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆30Updated 4 years ago
- Welcome to the 'In Context Learning Theory' Reading Group☆28Updated 4 months ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆72Updated last year