trzhang0116 / feature-contaminationLinks
Code accompanying the ICML'24 paper "Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize"
☆23Updated 5 months ago
Alternatives and similar repositories for feature-contamination
Users that are interested in feature-contamination are comparing it to the libraries listed below
Sorting:
- ☆46Updated 2 years ago
- Test-Time Label-Shift Adaptation☆13Updated 2 years ago
- ☆26Updated 2 years ago
- Crawl & Visualize ICLR 2023 Data from OpenReview☆84Updated 2 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆74Updated 3 years ago
- Crawl & visualize ICLR papers and reviews☆110Updated 2 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 4 years ago
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆83Updated last month
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆67Updated 2 years ago
- Code for Debiasing Vision-Language Models via Biased Prompts☆56Updated 2 years ago
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆58Updated 3 years ago
- Crawl & visualize ICLR papers and reviews.☆107Updated 3 years ago
- Distributionally robust neural networks for group shifts☆273Updated 2 years ago
- ☆31Updated last year
- The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…☆46Updated last year
- Continual Learning in Low-rank Orthogonal Subspaces (NeurIPS'20)☆36Updated 4 years ago
- Official code for the paper "Task2Vec: Task Embedding for Meta-Learning" (https://arxiv.org/abs/1902.03545, ICCV 2019)☆122Updated 2 years ago
- ☆40Updated 2 years ago
- ☆108Updated last year
- ☆157Updated 3 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72Updated last year
- ☆22Updated 3 years ago
- ☆38Updated 8 months ago
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆127Updated last year
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆53Updated 3 years ago
- Bayesian Low-Rank Adaptation for Large Language Models☆35Updated last year
- An Elegant Library for Bayesian Deep Learning in PyTorch☆26Updated 2 years ago
- This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.☆28Updated last year
- ☆65Updated 3 years ago
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆91Updated 4 years ago