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:
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- Computing various measures and generalization bounds on convolutional and fully connected networks☆35Updated 6 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆24Updated 3 years ago
- ☆58Updated 2 years ago
- NeurIPS 2021, Code for Measuring Generalization with Optimal Transport☆28Updated 3 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆35Updated 4 years ago
- ☆55Updated 4 years ago
- Coresets via Bilevel Optimization☆66Updated 4 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆56Updated 3 years ago
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆45Updated 4 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- ☆21Updated 3 years ago
- ☆37Updated 4 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 3 years ago
- ☆19Updated 5 years ago
- CIFAR-5m dataset☆39Updated 4 years ago
- Training vision models with full-batch gradient descent and regularization☆37Updated 2 years ago
- The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size☆17Updated 6 years ago
- This repo contains the code used for NeurIPS 2019 paper "Asymmetric Valleys: Beyond Sharp and Flat Local Minima".☆14Updated 5 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆76Updated 4 years ago
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 4 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆39Updated 4 years ago
- ☆20Updated 5 years ago
- Last-layer Laplace approximation code examples☆82Updated 3 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 4 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆61Updated 4 years ago
- ☆35Updated last year
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 4 years ago
- A Closer Look at Accuracy vs. Robustness☆89Updated 4 years ago