wOOL / DMTRLLinks
[Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach
☆58Updated 8 years ago
Alternatives and similar repositories for DMTRL
Users that are interested in DMTRL are comparing it to the libraries listed below
Sorting:
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆71Updated 8 years ago
- Replication of Semi-Supervised Learning with Deep Generative Models☆100Updated 9 years ago
- TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER☆119Updated 8 years ago
- Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"☆110Updated 8 years ago
- Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper☆93Updated 7 years ago
- I collected some papers about interpretable CNN and reorganized them here.☆133Updated 7 years ago
- Deep Transfer Learning Papers☆81Updated 3 years ago
- [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch☆163Updated 8 years ago
- Conditional variational autoencoder implementation in Torch☆107Updated 9 years ago
- Implementation of Ladder Network in PyTorch.☆45Updated 8 years ago
- Policy based Active Learning with DQN (EMNLP-2017)☆90Updated 7 years ago
- On the decision boundary of deep neural networks☆38Updated 7 years ago
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Updated 7 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 12 years ago
- Deep CCA (DCCA) network☆15Updated 9 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆72Updated 7 years ago
- GANs with multiple Discriminators☆78Updated 3 years ago
- TensorFlow implementation of Deep Graph Infomax☆62Updated 7 years ago
- Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)☆188Updated 8 years ago
- Reproducing code for the paper "Learning Discrete Representations via Information Maximizing Self-Augmented Training"☆80Updated 6 years ago
- Implementations of label propagation like algorithms☆82Updated 9 years ago
- Code for Sluice networks: Learning what to share between loosely related tasks☆155Updated 7 years ago
- Proceedings of ICML 2018☆39Updated last week
- A Python implementation of Kernel Mean Matching data reweighting algorithm☆33Updated 10 years ago
- Code for paper "Learning to Reweight Examples for Robust Deep Learning"☆270Updated 6 years ago
- A chainer implementation of Memory Augmented Neural Network☆48Updated 9 years ago
- Codes for "Towards Binary-Valued Gates for Robust LSTM Training".☆75Updated 7 years ago
- ☆24Updated 9 years ago
- pytorch neural network attention mechanism☆148Updated 6 years ago
- Active Learning on Image Data using Bayesian ConvNets☆140Updated 9 years ago