nsfzyzz / Generalization_metrics_for_NLP
[KDD 2023] code for "Test accuracy vs. generalization gap: model selection in NLP without accessing training or testing data" https://arxiv.org/pdf/2202.02842.pdf
☆12Updated 2 years ago
Alternatives and similar repositories for Generalization_metrics_for_NLP:
Users that are interested in Generalization_metrics_for_NLP are comparing it to the libraries listed below
- [NeurIPS 2021] code for "Taxonomizing local versus global structure in neural network loss landscapes" https://arxiv.org/abs/2107.11228☆19Updated 3 years ago
- [NeurIPS 2023 Spotlight] Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training☆34Updated last year
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆98Updated last year
- Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature☆140Updated 7 months ago
- Efficient empirical NTKs in PyTorch☆18Updated 2 years ago
- Welcome to the 'In Context Learning Theory' Reading Group☆28Updated 4 months ago
- `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.☆71Updated last month
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆48Updated 9 months ago
- ☆65Updated 3 months ago
- ☆34Updated last year
- Neural Tangent Kernel Papers☆106Updated 2 months ago
- NeuroSurgeon is a package that enables researchers to uncover and manipulate subnetworks within models in Huggingface Transformers☆40Updated last month
- A simple PyTorch implementation of influence functions.☆85Updated 9 months ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 3 years ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆30Updated 4 years ago
- [ICLR 2025] On Evluating the Durability of Safegurads for Open-Weight LLMs☆12Updated last month
- A fast, effective data attribution method for neural networks in PyTorch☆202Updated 4 months ago
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆68Updated 11 months ago
- ☆11Updated 2 years ago
- AI Logging for Interpretability and Explainability🔬☆108Updated 9 months ago
- ☆217Updated 10 months ago
- ☆121Updated last year
- ☆202Updated 2 years ago
- Code for the paper: Why Transformers Need Adam: A Hessian Perspective☆53Updated 2 weeks ago
- Weight-Averaged Sharpness-Aware Minimization (NeurIPS 2022)☆28Updated 2 years ago
- Implementation of CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation☆15Updated last month
- The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)☆39Updated last year
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- ☆30Updated 3 months ago