ivanpanshin / SupCon-Framework
Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks
☆167Updated last year
Related projects: ⓘ
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆288Updated last year
- PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results☆187Updated 4 months ago
- (ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning"…☆342Updated 2 years ago
- Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"☆170Updated 2 months ago
- ☆394Updated 3 years ago
- Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"☆180Updated 10 months ago
- ☆144Updated 3 years ago
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆132Updated 2 months ago
- This is the official implementation of TrivialAugment and a mini-library for the application of multiple image augmentation strategies in…☆146Updated last year
- Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112☆181Updated 3 years ago
- Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'☆331Updated 3 years ago
- Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)☆158Updated 2 years ago
- When Does Label Smoothing Help?_pytorch_implementationimp☆124Updated 4 years ago
- EsViT: Efficient self-supervised Vision Transformers☆407Updated last year
- NeurIPS 2021, Official codes for "Efficient Training of Visual Transformers with Small Datasets".☆138Updated last year
- Official repo for our ICLR 22 Oral paper: "Open-Set Recognition: a Good Closed-Set Classifier is All You Need?"☆260Updated last year
- Implementation of Barlow Twins paper☆99Updated last year
- SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)☆129Updated 3 years ago
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆141Updated last year
- NeurIPS 2020, Debiased Contrastive Learning☆281Updated last year
- Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️☆114Updated 2 years ago
- Unofficial Pytorch code for "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence" in NeurIPS'20. This repo co…☆190Updated 3 years ago
- PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆476Updated 2 years ago
- Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)☆529Updated last month
- Pretrained SimCLRv2 models in Pytorch☆103Updated 3 years ago
- Hyperbolic Vision Transformers: Combining Improvements in Metric Learning | Official repository☆185Updated 2 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆123Updated 4 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆264Updated 3 years ago
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆529Updated 4 years ago
- ☆64Updated 3 years ago