Liuhong99 / implicitbiasmlmcodeLinks
☆13Updated 2 years ago
Alternatives and similar repositories for implicitbiasmlmcode
Users that are interested in implicitbiasmlmcode are comparing it to the libraries listed below
Sorting:
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆78Updated 2 years ago
- ☆32Updated last year
- `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.☆95Updated last week
- ☆80Updated 3 years ago
- ☆51Updated last year
- Providing the answer to "How to do patching on all available SAEs on GPT-2?". It is an official repository of the implementation of the p…☆12Updated 10 months ago
- Test-time-training on nearest neighbors for large language models☆48Updated last year
- Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature☆171Updated 5 months ago
- ☆51Updated last year
- This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).☆46Updated 3 years ago
- AI Logging for Interpretability and Explainability🔬☆133Updated last year
- Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning [ICML 2024]☆19Updated last year
- Evaluate interpretability methods on localizing and disentangling concepts in LLMs.☆57Updated last month
- A fast, effective data attribution method for neural networks in PyTorch☆222Updated last year
- Code for "Training Neural Networks with Fixed Sparse Masks" (NeurIPS 2021).☆59Updated 3 years ago
- ☆51Updated 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 2 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆36Updated 3 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated 2 years ago
- Efficient empirical NTKs in PyTorch☆22Updated 3 years ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆83Updated last year
- Implementation of Gradient Information Optimization (GIO) for effective and scalable training data selection☆14Updated 2 years ago
- ☆18Updated 8 months ago
- The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…☆99Updated 4 years ago
- ☆102Updated 2 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆97Updated 2 years ago
- Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"☆16Updated 3 years ago
- [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"☆61Updated 2 years ago
- ☆40Updated last year
- Offcial Repo of Paper "Eliminating Position Bias of Language Models: A Mechanistic Approach""☆19Updated 5 months ago