shamangary / Pytorch-Stochastic-Depth-ResnetLinks
Pytorch Implementation of Deep Networks with Stochastic Depth
☆62Updated 6 years ago
Alternatives and similar repositories for Pytorch-Stochastic-Depth-Resnet
Users that are interested in Pytorch-Stochastic-Depth-Resnet are comparing it to the libraries listed below
Sorting:
- When Does Label Smoothing Help?_pytorch_implementationimp☆126Updated 5 years ago
- [TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training☆129Updated 4 years ago
- Code for the paper "M2m: Imbalanced Classification via Major-to-minor Translation" (CVPR 2020)☆95Updated 3 years ago
- PyTorch implementation of AutoAugment.☆159Updated 5 years ago
- Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112☆189Updated 4 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆105Updated 3 years ago
- [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks☆94Updated 4 years ago
- Unofficial PyTorch Implementation of Unsupervised Data Augmentation.☆148Updated 5 years ago
- [ECCV2020] Knowledge Distillation Meets Self-Supervision☆238Updated 2 years ago
- ☆130Updated 2 years ago
- Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)☆158Updated 3 years ago
- PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.☆140Updated 6 years ago
- ☆81Updated 2 years ago
- Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'☆338Updated 4 years ago
- Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations☆89Updated 5 years ago
- [CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".☆113Updated 3 years ago
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆140Updated last year
- Unofficial PyTorch Reimplementation of AutoAugment and RandAugment.☆35Updated 3 years ago
- Semi-supervised ImageNet1K models☆245Updated 6 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆107Updated 4 years ago
- PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP☆82Updated 5 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 3 years ago
- a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.☆170Updated 2 years ago
- ☆171Updated 4 years ago
- Differentiable Data Augmentation Library☆124Updated 3 years ago
- ☆108Updated 3 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆267Updated 4 years ago
- Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.☆152Updated 3 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆130Updated 5 years ago
- CVPR 2020 oral paper: Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax.☆355Updated 3 years ago