hoya012 / swa-tutorials-pytorchLinks
Stochastic Weight Averaging Tutorials using pytorch.
☆33Updated 5 years ago
Alternatives and similar repositories for swa-tutorials-pytorch
Users that are interested in swa-tutorials-pytorch are comparing it to the libraries listed below
Sorting:
- AAAI 2021: Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels☆23Updated 4 years ago
- Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020☆64Updated 4 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 5 years ago
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆41Updated 4 years ago
- ☆57Updated 3 years ago
- Code for "Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources". (IC…☆38Updated 5 years ago
- Github for the conference paper GLOD-Gaussian Likelihood OOD detector☆16Updated 3 years ago
- [ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845☆120Updated 4 years ago
- [ICLR 2021 Spotlight Oral] "Undistillable: Making A Nasty Teacher That CANNOT teach students", Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Che…☆82Updated 3 years ago
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆21Updated 3 years ago
- Code for Active Mixup in 2020 CVPR☆23Updated 3 years ago
- ☆38Updated 5 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 3 years ago
- Knowledge Extraction with No Observable Data (NeurIPS 2019)☆46Updated 5 years ago
- ☆96Updated 4 years ago
- Contains notebooks for the PAR tutorial at CVPR 2021.☆36Updated 4 years ago
- Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]☆86Updated last year
- Code to reproduce experiments from 'Does Knowledge Distillation Really Work' a paper which appeared in the 2021 NeurIPS proceedings.☆33Updated 2 years ago
- A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.☆66Updated 5 years ago
- Evaluating AlexNet features at various depths☆40Updated 5 years ago
- ☆109Updated 2 years ago
- label smoothing PyTorch implementation☆33Updated 5 years ago
- [WACV21] Code for our paper: Samuel, Atzmon and Chechik, "From Generalized zero-shot learning to long-tail with class descriptors"☆28Updated 4 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 3 years ago
- ☆36Updated 5 years ago
- Code for "Supermasks in Superposition"☆124Updated 2 years ago
- [NeurIPS 2020] Coresets for Robust Training of Neural Networks against Noisy Labels☆35Updated 4 years ago
- ☆58Updated 2 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆71Updated 4 years ago
- PyTorch Examples repo for "ReZero is All You Need: Fast Convergence at Large Depth"☆62Updated last year