ZaydH / influence_analysis_papers
Influence Analysis and Estimation - Survey, Papers, and Taxonomy
☆69Updated 11 months ago
Alternatives and similar repositories for influence_analysis_papers:
Users that are interested in influence_analysis_papers are comparing it to the libraries listed below
- A simple PyTorch implementation of influence functions.☆84Updated 8 months ago
- `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.☆62Updated last week
- ☆60Updated 3 years ago
- A fast, effective data attribution method for neural networks in PyTorch☆192Updated 3 months ago
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆62Updated 4 months ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆95Updated last year
- ☆87Updated last year
- AI Logging for Interpretability and Explainability🔬☆104Updated 8 months ago
- ☆28Updated last year
- Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature☆133Updated 6 months ago
- ☆62Updated 3 years ago
- ☆50Updated last year
- Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"☆15Updated last year
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆16Updated 4 years ago
- Official Repository for ICML 2023 paper "Can Neural Network Memorization Be Localized?"☆17Updated last year
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆93Updated 2 weeks ago
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆73Updated 2 years ago
- Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"☆16Updated 2 years ago
- ☆64Updated 2 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 3 years ago
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆47Updated 8 months ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆70Updated 9 months ago
- ☆9Updated last year
- Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)☆18Updated last year
- Regularized Learning under label shifts☆18Updated 5 years ago
- Efficient empirical NTKs in PyTorch☆18Updated 2 years ago
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆74Updated last year
- ☆34Updated last year
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆95Updated last year
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆65Updated last year