geonm / tf_angular_loss
Tensorflow Implementation of Deep Metric Learning with Angular Loss
☆17Updated 6 years ago
Alternatives and similar repositories for tf_angular_loss
Users that are interested in tf_angular_loss are comparing it to the libraries listed below
Sorting:
- SSL using PyTorch☆49Updated 5 years ago
- ☆34Updated 6 years ago
- "Learning Rate Dropout" in PyTorch☆34Updated 5 years ago
- This repository contains the code for the paper "Few-Shot Learning Through an Information Retrieval Lens". Eleni Triantafillou, Richard Z…☆25Updated 7 years ago
- Metric learning models in PyTorch with results on CUB2011, CARS196, Stanford Online Products☆65Updated 3 years ago
- PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"☆21Updated 5 years ago
- Code for CVPR 2019 paper "Deep Metric Learning to Rank"☆96Updated 3 years ago
- This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…☆36Updated 4 years ago
- (WACV 2020) Tensorflow implementation of Boosting Standard Classification Architectures Through a Ranking Regularizer☆22Updated 3 years ago
- A pytorch based classification experiments template☆46Updated 4 years ago
- Awesome papers in few-shot learning/one-shot learning.☆30Updated 6 years ago
- Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation pr…☆45Updated 5 years ago
- ☆11Updated 7 years ago
- Zero-Shot Knowledge Distillation in Deep Networks in ICML2019☆49Updated 5 years ago
- ☆32Updated 6 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- Notes and tutorials on "Mutual information and self-supervised learning"☆39Updated 5 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 6 years ago
- ☆51Updated 4 years ago
- Papers and Codes about Deep Metric Learning/Deep Embedding☆35Updated 5 years ago
- An implementation of MixMatch with PyTorch☆36Updated 4 years ago
- Unofficial pytorch implementation of a paper, Distributional Smoothing with Virtual Adversarial Training [Miyato+, ICLR2016].☆26Updated 7 years ago
- Implementation of the paper Identifying Mislabeled Data using the Area Under the Margin Ranking: https://arxiv.org/pdf/2001.10528v2.pdf☆21Updated 5 years ago
- Various implementations and experimentation for deep neural network model compression☆24Updated 6 years ago
- ☆23Updated 6 years ago
- Transfer Learning via Unsupervised Task Discovery for Visual Question Answering☆19Updated 6 years ago
- Transfer Learning via Unsupervised Task Discovery for Visual Question Answering☆31Updated 6 years ago
- Keras implementation of Padam from "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks"☆17Updated 6 years ago
- Improving generalization by controlling label-noise information in neural network weights.☆40Updated 4 years ago
- Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent☆45Updated 4 years ago