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
- [ECCV2020] Knowledge Distillation Meets Self-Supervision☆238Updated 2 years ago
- Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112☆190Updated 4 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆268Updated 4 years ago
- PyTorch implementation of AutoAugment.☆161Updated 5 years ago
- A PyTorch converter for SimCLR checkpoints☆109Updated 4 years ago
- [TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training☆130Updated 4 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆105Updated 4 years ago
- Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learni…☆150Updated 5 years ago
- Differentiable Data Augmentation Library☆125Updated 3 years ago
- Code for the paper "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)☆169Updated 3 years ago
- Unofficial PyTorch Reimplementation of AutoAugment and RandAugment.☆35Updated 3 years ago
- ☆108Updated 3 years ago
- ☆171Updated 4 years ago
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆141Updated last year
- Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)☆156Updated 4 years ago
- ☆81Updated 2 years ago
- ☆130Updated 3 years ago
- Code for the paper "M2m: Imbalanced Classification via Major-to-minor Translation" (CVPR 2020)☆95Updated 4 years ago
- PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.☆140Updated 6 years ago
- Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations☆89Updated 5 years ago
- Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"☆144Updated 5 years ago
- [ECCV 2020] DADA: Differentiable Automatic Data Augmentation☆191Updated 2 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 3 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆130Updated 6 years ago
- Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)☆109Updated 5 years ago
- Semi-supervised ImageNet1K models☆246Updated 6 years ago
- Addressing Failure Prediction by Learning Model Confidence☆173Updated 3 years ago
- ☆70Updated 4 years ago
- Pretrained SimCLRv2 models in Pytorch☆105Updated 5 years ago