seominseok0429 / label-smoothing-visualization-pytorchLinks
When Does Label Smoothing Help?_pytorch_implementationimp
☆125Updated 5 years ago
Alternatives and similar repositories for label-smoothing-visualization-pytorch
Users that are interested in label-smoothing-visualization-pytorch are comparing it to the libraries listed below
Sorting:
- Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112☆189Updated 4 years ago
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆138Updated last year
- Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)☆108Updated 5 years ago
- [ECCV2020] Knowledge Distillation Meets Self-Supervision☆237Updated 2 years ago
- Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"☆171Updated 4 years ago
- Pytorch Implementation of Deep Networks with Stochastic Depth☆62Updated 6 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆126Updated last year
- Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆131Updated 3 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆128Updated 5 years ago
- A collection of awesome things about mixed sample data augmentation☆132Updated 5 years ago
- PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.☆139Updated 6 years ago
- PyTorch implementation of consistency regularization methods for semi-supervised learning☆78Updated 4 years ago
- Official Pytorch implementation of MixMo framework☆84Updated 3 years ago
- ☆129Updated 2 years ago
- Code for the paper "M2m: Imbalanced Classification via Major-to-minor Translation" (CVPR 2020)☆95Updated 3 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆296Updated 2 years ago
- [TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training☆128Updated 3 years ago
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆74Updated 5 years ago
- ☆94Updated 4 years ago
- Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)☆159Updated 3 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆153Updated 4 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 4 years ago
- SpotTune: Transfer Learning through Adaptive Fine-tuning☆90Updated 5 years ago
- Pytorch Implementation of Domain Generalization Using a Mixture of Multiple Latent Domains☆105Updated 3 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆128Updated 3 months ago
- A pytorch implementation of paper 'Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation', …☆179Updated 3 years ago
- Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.☆151Updated 2 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 3 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆105Updated 4 years ago
- Addressing Failure Prediction by Learning Model Confidence☆173Updated 2 years ago