parthnatekar / pgdl
Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning
☆38Updated 3 years ago
Alternatives and similar repositories for pgdl:
Users that are interested in pgdl are comparing it to the libraries listed below
- Computing various measures and generalization bounds on convolutional and fully connected networks☆35Updated 6 years ago
- ☆19Updated 4 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆55Updated 3 years ago
- NeurIPS 2021, Code for Measuring Generalization with Optimal Transport☆28Updated 3 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 2 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- ☆35Updated 3 years ago
- ☆55Updated 4 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆117Updated 3 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 3 years ago
- ☆34Updated 3 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆68Updated 2 years ago
- Official PyTorch implementation of “Flexible Dataset Distillation: Learn Labels Instead of Images”☆41Updated 4 years ago
- A Closer Look at Accuracy vs. Robustness☆88Updated 3 years ago
- [ICLR 2020] ”Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference“☆24Updated 3 years ago
- ☆35Updated last year
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Updated 8 months ago
- ☆57Updated last year
- ☆45Updated 5 years ago
- Training vision models with full-batch gradient descent and regularization☆38Updated last year
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆85Updated 2 years ago
- ☆38Updated 3 years ago
- ☆34Updated 3 years ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆34Updated last year
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆41Updated last year
- 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
- Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes☆22Updated 4 years ago
- ☆43Updated 2 years ago
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆19Updated 3 years ago
- Implementation of Effective Sparsification of Neural Networks with Global Sparsity Constraint☆28Updated 2 years ago