mpezeshki / Gradient_StarvationLinks
Gradient Starvation: A Learning Proclivity in Neural Networks
☆61Updated 4 years ago
Alternatives and similar repositories for Gradient_Starvation
Users that are interested in Gradient_Starvation are comparing it to the libraries listed below
Sorting:
- ☆55Updated 5 years ago
- Code for "Supermasks in Superposition"☆124Updated last year
- ☆34Updated 3 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆87Updated 3 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- Fine-grained ImageNet annotations☆29Updated 5 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆61Updated 4 years ago
- ☆34Updated 2 months 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 the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆36Updated 3 years ago
- ☆57Updated 3 years ago
- ☆108Updated last year
- ☆34Updated 4 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆56Updated 3 years ago
- Computing various measures and generalization bounds on convolutional and fully connected networks☆35Updated 6 years ago
- ☆37Updated last year
- Evaluating AlexNet features at various depths☆40Updated 4 years ago
- ☆83Updated last year
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72Updated last year
- ☆46Updated 2 years ago
- ☆38Updated 4 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- IIRC: Incremental Implicitly Refined Classification☆30Updated 2 years ago
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 4 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆100Updated 5 years ago
- ☆58Updated 2 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆24Updated 3 years ago