parthnatekar / pgdlLinks
Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning
☆40Updated 4 years ago
Alternatives and similar repositories for pgdl
Users that are interested in pgdl are comparing it to the libraries listed below
Sorting:
- Computing various measures and generalization bounds on convolutional and fully connected networks☆35Updated 6 years ago
- ☆59Updated 2 years ago
- ☆55Updated 5 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆61Updated 4 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 4 years ago
- A Closer Look at Accuracy vs. Robustness☆88Updated 4 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆56Updated 3 years ago
- Coresets via Bilevel Optimization☆66Updated 4 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆35Updated 5 years ago
- Last-layer Laplace approximation code examples☆82Updated 3 years ago
- Robust Out-of-distribution Detection in Neural Networks☆73Updated 3 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
- ☆34Updated 3 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆90Updated 5 years ago
- Code for "Supermasks in Superposition"☆124Updated last year
- ☆19Updated 4 years ago
- ☆83Updated last year
- CIFAR-5m dataset☆39Updated 4 years ago
- ☆108Updated last year
- PyTorch implementation of FIM and empirical FIM☆61Updated 7 years ago
- ☆141Updated 4 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72Updated last year
- NeurIPS 2021, Code for Measuring Generalization with Optimal Transport☆28Updated 3 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆87Updated 3 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆60Updated last year
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆99Updated 3 years ago