youngerous / ddgsd-pytorchLinks
(Unofficial) Data-Distortion Guided Self-Distillation for Deep Neural Networks (AAAI 2019)
☆14Updated 4 years ago
Alternatives and similar repositories for ddgsd-pytorch
Users that are interested in ddgsd-pytorch are comparing it to the libraries listed below
Sorting:
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆39Updated 3 years ago
- Improving Calibration for Long-Tailed Recognition (CVPR2021)☆149Updated 3 years ago
- [CVPR 2021] MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition☆61Updated 2 years ago
- ☆47Updated 2 years ago
- Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)☆108Updated 5 years ago
- This repository contains code for the paper "Disentangling Label Distribution for Long-tailed Visual Recognition", published at CVPR' 202…☆103Updated 3 years ago
- ResLT: Residual Learning for Long-tailed Recognition (TPAMI 2022)☆61Updated last year
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆93Updated 3 years ago
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆53Updated 3 years ago
- SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization☆49Updated 2 years ago
- Knowledge Transfer via Dense Cross-layer Mutual-distillation (ECCV'2020)☆29Updated 5 years ago
- Official PyTorch implementation of PS-KD☆89Updated 3 years ago
- Pytorch Code for "A Broad Study on the Transferability of Visual Representations with Contrastive Learning" (ICCV 2021)☆36Updated 3 years ago
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated 2 years ago
- Code for "Balanced Knowledge Distillation for Long-tailed Learning"☆27Updated last year
- [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization☆51Updated last year
- PyTorch implementation of Self-supervised Contrastive Regularization for DG (SelfReg) [ICCV2021]☆77Updated 3 years ago
- Code of our method MbLS (Margin-based Label Smoothing) for network calibration. To Appear at CVPR 2022. Paper : https://arxiv.org/abs/211…☆50Updated 2 years ago
- [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…☆28Updated 3 years ago
- An open-world scenario domain generalization code base☆26Updated 2 years ago
- ☆31Updated 4 months ago
- Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"☆32Updated 3 years ago
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆29Updated 4 years ago
- Official PyTorch implementation of MIRO (ECCV 2022)☆87Updated 2 years ago
- NLNL: Negative Learning for Noisy Labels☆104Updated 5 years ago
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space☆94Updated 4 years ago
- the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"☆41Updated 4 years ago
- Reducing Domain Gap by Reducing Style Bias (SagNets)☆103Updated 4 years ago
- ☆61Updated 3 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆106Updated 3 years ago