zhuxinqimac / B-CNNLinks
Sample code of B-CNN paper (https://arxiv.org/abs/1709.09890) written in Python3+.
☆55Updated 3 years ago
Alternatives and similar repositories for B-CNN
Users that are interested in B-CNN are comparing it to the libraries listed below
Sorting:
- Deep Transfer Learning Papers☆79Updated 3 years ago
- Implementation of "Matching Networks for One Shot Learning" in Keras https://arxiv.org/abs/1606.04080☆53Updated 6 years ago
- Convolutional Neural Networks (CNNs) are being widely used for various tasks in Computer Vision. We focus on the task of image classifica…☆25Updated 7 years ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆42Updated 7 years ago
- Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning☆186Updated 5 years ago
- TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER☆118Updated 8 years ago
- Domain-Adversarial Neural Network in Tensorflow☆37Updated 6 years ago
- Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"☆134Updated 7 years ago
- CapsNet reference from : https://github.com/XifengGuo/CapsNet-Keras☆36Updated 2 years ago
- Label Distribution Learning Forest☆30Updated 7 years ago
- Deep Adaptive Image Clustering Paper Implementation☆29Updated 6 years ago
- Keras implementation of temporal ensembling(semi-supervised learning)☆22Updated 6 years ago
- Open category classification by adversarial sample generation☆20Updated 4 years ago
- Pytorch implementation of Virtual Adversarial Training☆134Updated 6 years ago
- Deep Neural Network Ensembles for Extreme Classification☆41Updated 6 years ago
- Implementation and usage of marginalized stacked denoising autoencoders (mSDA)☆23Updated 9 years ago
- Pseudo-Label: Semi-Supervised Learning on CIFAR-10 in Keras☆37Updated 6 years ago
- Code for the paper "Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation", ICLR 2018☆63Updated 5 years ago
- Pytorch code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning☆61Updated 7 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆70Updated 7 years ago
- Implementation of autoencoders in PyTorch☆57Updated 7 years ago
- [CVPR 2017] Official Implementation for AIFT☆93Updated 3 years ago
- Meta-Learning based Noise-Tolerant Training☆125Updated 4 years ago
- Implementation of Temporal Ensembling for Semi-Supervised Learning by Laine et al. with tensorflow eager execution☆55Updated 5 years ago
- Temporal ensembling for semi-supervised learning☆158Updated 8 years ago
- Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).☆39Updated 6 years ago
- SupportNet: solving catastrophic forgetting in class incremental learning with support data☆34Updated 6 years ago
- supervised and semi-supervised image classification with self-supervision (Keras)☆45Updated 4 years ago
- Code for the paper "Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation" (AAAI-2019)☆42Updated 6 years ago
- This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017☆87Updated 3 years ago