acmi-lab / cmu-10732-robustness-adaptivity-shiftLinks
Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments
☆74Updated 2 years ago
Alternatives and similar repositories for cmu-10732-robustness-adaptivity-shift
Users that are interested in cmu-10732-robustness-adaptivity-shift are comparing it to the libraries listed below
Sorting:
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year
- Distributionally robust neural networks for group shifts☆280Updated 2 years ago
- Optimal Transport Dataset Distance☆170Updated 3 years ago
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆83Updated 3 months ago
- ☆110Updated 2 years ago
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆152Updated 2 years ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆30Updated 5 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72Updated last year
- ☆55Updated 5 years ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆83Updated last year
- ☆46Updated 2 years ago
- ☆62Updated 4 years ago
- The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)☆41Updated last year
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 4 years ago
- Regularized Learning under label shifts☆18Updated 6 years ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆67Updated 2 years ago
- Official code for the paper "Task2Vec: Task Embedding for Meta-Learning" (https://arxiv.org/abs/1902.03545, ICCV 2019)☆123Updated 2 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆40Updated 4 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆114Updated 3 years ago
- A fast, effective data attribution method for neural networks in PyTorch☆218Updated 10 months ago
- ☆61Updated 3 years ago
- ☆50Updated 2 years ago
- ☆34Updated 4 years ago
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated 2 years ago
- Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?☆40Updated 3 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆50Updated 4 years ago
- Coresets via Bilevel Optimization☆67Updated 4 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago