tomp11 / metric_learning
Metric Learning (npair loss & angular loss) on mnist and Visualizing by t_SNE
☆35Updated 2 years ago
Alternatives and similar repositories for metric_learning:
Users that are interested in metric_learning are comparing it to the libraries listed below
- Domain Adaptation paper in various applications☆22Updated 5 years ago
- Pytorch implementation of Exploring Simple Siamese Representation Learning☆21Updated last year
- Pytorch Implementation of Domain Generalization Using a Mixture of Multiple Latent Domains☆102Updated 3 years ago
- Official repository for "Orthogonal Projection Loss" (ICCV'21)☆121Updated 3 years ago
- ☆39Updated 2 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆106Updated 4 years ago
- Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"☆90Updated 4 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆103Updated 3 years ago
- an implementation of mixup☆41Updated 4 years ago
- Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)☆107Updated 4 years ago
- [CVPR 2021] Adaptive Consistency Regularization for Semi-Supervised Transfer Learning☆103Updated 3 years ago
- ☆17Updated 6 years ago
- A collection of awesome things about mixed sample data augmentation☆131Updated 4 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆126Updated last year
- Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation☆92Updated 3 years ago
- Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆131Updated 2 years ago
- ☆94Updated 4 years ago
- Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)☆79Updated 4 years ago
- a pytorch implementation for MoCo V3☆32Updated 4 years ago
- PyTorch implementation of consistency regularization methods for semi-supervised learning☆78Updated 4 years ago
- Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112☆186Updated 4 years ago
- When Does Label Smoothing Help?_pytorch_implementationimp☆125Updated 5 years ago
- The Pytorch implementation for "Learning to Learn Single Domain Generalization" (CVPR 2020)☆148Updated 4 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 2 years ago
- (L2ID@CVPR2021, TNNLS2022) Boosting Co-teaching with Compression Regularization for Label Noise☆48Updated 2 years ago
- Code for paper "Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss" (CVPR 2019)☆64Updated 4 years ago
- Reproducing VID in CVPR2019 (on working)☆20Updated 5 years ago
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 3 years ago
- TPAMI2020 "Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice"☆75Updated 4 years ago
- Unsupervised Domain Adaptation by Backpropagation☆38Updated 2 years ago