HanxunH / SCELoss-ReproduceLinks
Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112
☆186Updated 4 years ago
Alternatives and similar repositories for SCELoss-Reproduce
Users that are interested in SCELoss-Reproduce are comparing it to the libraries listed below
Sorting:
- Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"☆170Updated 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
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆137Updated 10 months ago
- PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.☆139Updated 5 years ago
- When Does Label Smoothing Help?_pytorch_implementationimp☆124Updated 5 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆126Updated last year
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆295Updated 2 years ago
- ☆129Updated 2 years ago
- Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction☆223Updated 4 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆153Updated 4 years ago
- A collection of awesome things about mixed sample data augmentation☆132Updated 5 years ago
- Meta-Learning based Noise-Tolerant Training☆125Updated 4 years ago
- PyTorch implementation of consistency regularization methods for semi-supervised learning☆78Updated 4 years ago
- Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)☆107Updated 4 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆105Updated 4 years ago
- PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”☆150Updated 4 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆127Updated last month
- This is the official implementation of Self-Challenging Improves Cross-Domain Generalization, ECCV2020☆164Updated 4 years ago
- Improving Calibration for Long-Tailed Recognition (CVPR2021)☆148Updated 3 years ago
- Code for Unsupervised Embedding Learning via Invariant and Spreading Instance Feature☆210Updated 5 years ago
- Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]☆118Updated 4 years ago
- Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"☆249Updated 2 years ago
- [ECCV2020] Knowledge Distillation Meets Self-Supervision☆237Updated 2 years ago
- Unofficial PyTorch Implementation of Unsupervised Data Augmentation.☆147Updated 4 years ago
- ☆132Updated 4 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆103Updated 3 years ago
- Domain Generalization with MixStyle (ICLR'21)☆301Updated 2 years ago
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆74Updated 4 years ago
- [ICLR 2021 Spotlight] Code release for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."☆271Updated 2 years ago
- [CVPR 2021] Adaptive Consistency Regularization for Semi-Supervised Transfer Learning☆104Updated 3 years ago