rosenfeldamir / incremental_learningLinks
Initial Code for the paper "incremental learning through deep adaptation"
☆51Updated 6 years ago
Alternatives and similar repositories for incremental_learning
Users that are interested in incremental_learning are comparing it to the libraries listed below
Sorting:
- End-to-End Incremental Learning☆67Updated 6 years ago
- this project is the code of domain adaptation referenced by unsupervised domain adaptation by backpropagation(http://machinelearning.wust…☆63Updated 8 years ago
- Code and data for Paper - Towards Open World Recognition - CVPR 2015☆22Updated 7 years ago
- [CVPR 2017] Official Implementation for AIFT☆93Updated 4 years ago
- Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning☆185Updated 6 years ago
- t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature☆65Updated 7 years ago
- DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks https://arxiv.org/abs/1901.09229☆66Updated 4 years ago
- ☆100Updated 5 years ago
- Repository for the Learning without Forgetting paper, ECCV 2016☆86Updated 5 years ago
- "Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)☆105Updated 5 years ago
- Implementations of knowledge distillation and knowledge transfer models in neural networks.☆23Updated 6 years ago
- Few-Shot Learning with Global Class Representations☆74Updated 3 years ago
- Zalando's MNIST replacement.☆38Updated 6 years ago
- Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)☆225Updated 4 years ago
- Transfer knowledge from a large DNN or an ensemble of DNNs into a small DNN☆28Updated 8 years ago
- supervised and semi-supervised image classification with self-supervision (Keras)☆45Updated 4 years ago
- Pytorch code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning☆61Updated 7 years ago
- Code for the paper "Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation" (AAAI-2019)☆41Updated 7 years ago
- Learning What and Where to Transfer (ICML 2019)☆250Updated 5 years ago
- Open set domain adaptation☆87Updated 6 years ago
- Code release for "Partial Transfer Learning with Selective Adversarial Networks" (CVPR 2018)☆69Updated 7 years ago
- Implementation of "Metric Learning for Novelty and Anomaly Detection", BMVC 2018☆37Updated 6 years ago
- A demonstration of how to use PyTorch to implement Support Vector Machine with L2 regularizition and multiclass hinge loss☆48Updated 7 years ago
- This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)☆88Updated 7 years ago
- Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory☆47Updated 6 years ago
- Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection (ACM MM 2018)☆59Updated 4 years ago
- Tensorflow Implementation of open set domain adaptation by backpropagation☆30Updated 6 years ago
- Semantic Feature Augmentation in Few-shot Learning☆87Updated 6 years ago
- Semantic Autoencoder for Zero-shot Learning (Spotlight), CVPR 2017☆147Updated 7 years ago
- Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow☆54Updated 7 years ago