tomp11 / metric_learningLinks
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
Sorting:
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 4 years ago
- Pytorch implementation of Exploring Simple Siamese Representation Learning☆22Updated 2 years ago
- Official repository for "Orthogonal Projection Loss" (ICCV'21)☆126Updated 4 years ago
- Domain Adaptation paper in various applications☆22Updated 5 years ago
- an implementation of mixup☆41Updated 5 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112☆190Updated 4 years ago
- Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆133Updated 3 years ago
- When Does Label Smoothing Help?_pytorch_implementationimp☆126Updated 5 years ago
- This repository contains some of the latest data augmentation techniques and optimizers for image classification using pytorch and the CI…☆29Updated 4 years ago
- Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"☆91Updated 4 years ago
- Triplet-net and triplet loss implementation on pytorch☆41Updated 3 years ago
- custom pytorch implementation of MoCo v3☆46Updated 4 years ago
- Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"☆171Updated 4 years ago
- ☆94Updated 5 years ago
- PyTorch implementation of the ECCV 2020 paper "Gabor Layers Enhance Network Robustness".☆31Updated 5 years ago
- A collection of awesome things about mixed sample data augmentation☆132Updated 5 years ago
- Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation☆92Updated 3 years ago
- The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021☆81Updated 3 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆107Updated 5 years ago
- ☆39Updated 2 months ago
- Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)☆79Updated 5 years ago
- ☆67Updated 2 years ago
- Pytorch implementation of Meta-Learned Confidence for Few-shot Learning☆71Updated 4 years ago
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆29Updated 4 years ago
- SKD : Self-supervised Knowledge Distillation for Few-shot Learning☆102Updated 2 years ago
- supervised and semi-supervised image classification with self-supervision (Keras)☆45Updated 4 years ago
- a pytorch implementation for MoCo V3☆32Updated 4 years ago
- Unsupervised Domain Adaptation by Backpropagation☆43Updated 2 years ago
- A pytorch implementation of "Domain-Adaptive Few-Shot Learning"☆148Updated 5 years ago