mrottmann / DeepBASS
Deep Bayesian Active Semi-Supervised Learning
☆11Updated 7 years ago
Alternatives and similar repositories for DeepBASS
Users that are interested in DeepBASS are comparing it to the libraries listed below
Sorting:
- Representation based multi label classification with many labels☆40Updated 8 years ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆41Updated 6 years ago
- Semi supervised learning on graphs☆35Updated 7 years ago
- Demo for the paper titled "Learning to Compare: Relation Network for Few-Shot Learning"☆29Updated 7 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
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Updated 5 years ago
- Demonising Adversarial Auto-encoder in PyTorch☆24Updated 6 years ago
- Deep Transfer Learning Papers☆79Updated 3 years ago
- A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).☆25Updated 6 years ago
- A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation☆50Updated 7 years ago
- Open category classification by adversarial sample generation☆20Updated 4 years ago
- Curriculum Learning - Tensorflow☆40Updated 7 years ago
- Transfer knowledge from a large DNN or an ensemble of DNNs into a small DNN☆28Updated 8 years ago
- TensorFlow implementation of "Good Semi-supervised Learning that Requires a Bad GAN"☆12Updated 7 years ago
- Implementation and usage of marginalized stacked denoising autoencoders (mSDA)☆23Updated 8 years ago
- Implementation of Ladder Network in PyTorch.☆45Updated 7 years ago
- Label Distribution Learning Forest☆30Updated 7 years ago
- A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation☆44Updated 7 years ago
- Contractive Auto-Encoders in Numpy☆29Updated 12 years ago
- SupportNet: solving catastrophic forgetting in class incremental learning with support data☆34Updated 6 years ago
- Repository for our paper "Zero-Shot Learning Through Cross-Modal Transfer" from NIPS 2013.☆54Updated 11 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 7 years ago
- Zero shot classification using shared text and image embeddings in TensorFlow☆23Updated 8 years ago
- PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…☆44Updated 11 years ago
- ☆25Updated 6 years ago
- Denoising Adversairal Autoencoders☆40Updated 7 years ago
- Implementation of Deep Soft-K means☆28Updated 4 years ago
- Code for "Active One-shot Learning"☆33Updated 6 years ago
- Hamming Distance Metric Learning with Non-linear Projection☆73Updated 11 years ago
- Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory☆47Updated 6 years ago