visinf / fast-axiomatic-attributionLinks
Fast Axiomatic Attribution for Neural Networks (NeurIPS*2021)
☆16Updated 2 years ago
Alternatives and similar repositories for fast-axiomatic-attribution
Users that are interested in fast-axiomatic-attribution are comparing it to the libraries listed below
Sorting:
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆31Updated 2 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆36Updated 3 years ago
- ☆18Updated 2 years ago
- ☆35Updated last year
- Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"☆16Updated 2 years ago
- ☆19Updated 3 years ago
- Fine-grained ImageNet annotations☆29Updated 5 years ago
- ☆25Updated 5 years ago
- Recycling diverse models☆44Updated 2 years ago
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated 2 years ago
- SGD with large step sizes learns sparse features [ICML 2023]☆32Updated 2 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- Repository for the paper Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning☆36Updated 2 years ago
- ☆18Updated 3 years ago
- ☆29Updated 2 years ago
- ☆26Updated 3 years ago
- Explanation Optimization☆13Updated 4 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆97Updated 2 years ago
- Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.☆47Updated 3 years ago
- Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"☆17Updated last year
- Personal implementation of ASIF by Antonio Norelli☆25Updated last year
- BenchBench is a Python package to evaluate multi-task benchmarks.☆15Updated 11 months ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year
- Code for T-MARS data filtering☆35Updated last year
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- ☆45Updated 2 years ago
- [NeurIPS'24] Official PyTorch implementation for paper "Knowledge Composition using Task Vectors with Learned Anisotropic Scaling"☆20Updated 4 months ago
- ☆24Updated last year
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆34Updated last year