seominseok0429 / label-smoothing-visualization-pytorch
When Does Label Smoothing Help?_pytorch_implementationimp
☆124Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for label-smoothing-visualization-pytorch
- Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)☆107Updated 4 years ago
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆134Updated 4 months ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆125Updated 5 years ago
- PyTorch implementation of consistency regularization methods for semi-supervised learning☆77Updated 4 years ago
- PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.☆139Updated 5 years ago
- Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112☆184Updated 3 years ago
- [ECCV2020] Knowledge Distillation Meets Self-Supervision☆234Updated last year
- Pytorch Implementation of Deep Networks with Stochastic Depth☆63Updated 5 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆126Updated last year
- [TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training☆127Updated 3 years ago
- Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"☆171Updated 3 years ago
- ☆94Updated 4 years ago
- (NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297☆119Updated last year
- Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆129Updated 2 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆288Updated last year
- Official Pytorch implementation of MixMo framework☆84Updated 3 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆127Updated 3 years ago
- A collection of awesome things about mixed sample data augmentation☆132Updated 4 years ago
- Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.☆149Updated 2 years ago
- Improving Calibration for Long-Tailed Recognition (CVPR2021)☆145Updated 3 years ago
- A pytorch implementation of paper 'Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation', …☆158Updated 2 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆153Updated 4 years ago
- ☆170Updated 3 years ago
- Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"☆181Updated last year
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆104Updated 3 years ago
- ☆130Updated last year
- [CVPR 2021] Adaptive Consistency Regularization for Semi-Supervised Transfer Learning☆102Updated 3 years ago
- SKD : Self-supervised Knowledge Distillation for Few-shot Learning☆95Updated last year
- PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”☆148Updated 3 years ago
- Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"☆40Updated 2 years ago