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:
- ☆34Updated 4 years ago
- ☆34Updated 3 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- Code for "Supermasks in Superposition"☆124Updated last year
- ☆55Updated 4 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆87Updated 3 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year
- Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning☆40Updated 4 years ago
- ☆34Updated 3 weeks ago
- Computing various measures and generalization bounds on convolutional and fully connected networks☆35Updated 6 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆76Updated 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
- ☆35Updated last year
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 4 years ago
- ☆58Updated 3 years ago
- ☆45Updated 2 years ago
- ☆38Updated 4 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆24Updated 3 years ago
- Last-layer Laplace approximation code examples☆82Updated 3 years ago
- Evaluating AlexNet features at various depths☆40Updated 4 years ago
- ☆19Updated 3 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 4 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72Updated last year
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 4 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆56Updated 3 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆36Updated 3 years ago
- Implementation of Bayesian Gradient Descent☆37Updated last year
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 3 years ago
- IIRC: Incremental Implicitly Refined Classification☆30Updated 2 years ago