ElisaNguyen / bayesian-tda
Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"
☆15Updated last year
Alternatives and similar repositories for bayesian-tda:
Users that are interested in bayesian-tda are comparing it to the libraries listed below
- Data Valuation without Training of a Model, submitted to ICLR'23☆23Updated 2 years ago
- ☆28Updated 8 months ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- ☆28Updated last year
- Official PyTorch implementation of "Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data" (NeurIPS'23)☆15Updated last year
- Host CIFAR-10.2 Data Set☆13Updated 3 years ago
- Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"☆22Updated last year
- ☆30Updated 3 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆70Updated 9 months ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆72Updated last year
- Code for paper: “What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selecti…☆22Updated 9 months ago
- Code for T-MARS data filtering☆35Updated last year
- ☆17Updated 2 years ago
- Understanding Rare Spurious Correlations in Neural Network☆12Updated 2 years ago
- ☆14Updated last year
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated last year
- This is the project for IRM methods☆12Updated 3 years ago
- ☆39Updated 2 years ago
- Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"☆15Updated 2 years ago
- This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.☆27Updated 9 months ago
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated 2 years ago
- Uncertainty quantification for in-context learning of large language models☆15Updated 11 months ago
- ☆44Updated 2 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆29Updated 2 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆95Updated last year
- ☆27Updated last year
- Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)☆18Updated last year
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆65Updated last year
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 3 years ago