harshays / simplicitybiaspitfallsLinks
The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)
☆41Updated last year
Alternatives and similar repositories for simplicitybiaspitfalls
Users that are interested in simplicitybiaspitfalls are comparing it to the libraries listed below
Sorting:
- ☆55Updated 5 years ago
- ☆109Updated 2 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated 2 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72Updated last year
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated 2 years ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆30Updated 5 years ago
- ☆34Updated 4 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆64Updated 4 years ago
- Original dataset release for CIFAR-10H☆82Updated 4 years ago
- Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?☆40Updated 3 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 3 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago
- ☆38Updated 4 years ago
- ☆46Updated 2 years ago
- Training vision models with full-batch gradient descent and regularization☆39Updated 2 years ago
- ☆62Updated 4 years ago
- Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)☆16Updated 6 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- A way to achieve uniform confidence far away from the training data.☆38Updated 4 years ago
- Computing various measures and generalization bounds on convolutional and fully connected networks☆35Updated 6 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated 2 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆24Updated 3 years ago
- Distributionally robust neural networks for group shifts☆283Updated 2 years ago
- ☆63Updated 5 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆101Updated 5 years ago
- ☆141Updated 5 years ago
- ☆34Updated last year
- Official code for the paper "Task2Vec: Task Embedding for Meta-Learning" (https://arxiv.org/abs/1902.03545, ICCV 2019)☆123Updated 2 years ago
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆92Updated 5 years ago