samuelstanton / gnosisLinks
Code to reproduce experiments from 'Does Knowledge Distillation Really Work' a paper which appeared in the 2021 NeurIPS proceedings.
☆33Updated last year
Alternatives and similar repositories for gnosis
Users that are interested in gnosis are comparing it to the libraries listed below
Sorting:
- Gradient Starvation: A Learning Proclivity in Neural Networks☆60Updated 4 years ago
- Last-layer Laplace approximation code examples☆84Updated 3 years ago
- ☆58Updated 2 years ago
- Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning☆40Updated 4 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆50Updated 4 years ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆68Updated 3 years ago
- Code for "Supermasks in Superposition"☆124Updated last year
- ☆23Updated 2 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 3 years ago
- PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)☆144Updated 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
- Code for the paper "Understanding Generalization through Visualizations"☆61Updated 4 years ago
- Coresets via Bilevel Optimization☆66Updated 4 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- ☆28Updated 2 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆57Updated 4 years ago
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Updated 5 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆87Updated 3 years ago
- ☆46Updated 2 years ago
- CIFAR-5m dataset☆39Updated 4 years ago
- ☆57Updated 3 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆36Updated 3 years ago
- Evaluating AlexNet features at various depths☆40Updated 4 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72Updated last year
- ☆38Updated 4 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated 2 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆36Updated 3 years ago
- Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020☆50Updated 4 years ago
- Robust Out-of-distribution Detection in Neural Networks☆73Updated 3 years ago
- ☆42Updated 6 years ago