sclincha / xrce_msda_da_regularizationLinks
Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation
☆12Updated 8 years ago
Alternatives and similar repositories for xrce_msda_da_regularization
Users that are interested in xrce_msda_da_regularization are comparing it to the libraries listed below
Sorting:
- Implementation and usage of marginalized stacked denoising autoencoders (mSDA)☆24Updated 9 years ago
- Python implementation of (linear) Marginalized Stacked Denoising Autoencoder (mSDA), as well as dense Cohort of Terms (dCoT). Based on Ma…☆27Updated 5 years ago
- ☆25Updated 6 years ago
- Demonising Adversarial Auto-encoder in PyTorch☆24Updated 6 years ago
- ☆15Updated 7 years ago
- Online multiclass boosting algorithm that uses VFDT as weak learners☆17Updated 6 years ago
- Stacked Denoising Auto-Encoder in Theano. Using the mnist dataset.☆14Updated 9 years ago
- scalable active learning by approximated error reduction☆11Updated 4 years ago
- Wasserstein Based Domain Adaptation Model☆46Updated 6 years ago
- Domain-Adversarial Neural Network in Tensorflow☆37Updated 6 years ago
- Multilinear Factorization Machines for multi-task multi-view learning☆18Updated 8 years ago
- Implementation of Deep Linear Discriminant Analysis (DeepLDA)☆48Updated 9 years ago
- Implementation and improvement of paper 'Learning Multiple Views with Orthogonal Denoising Autoencoders'☆16Updated 11 months ago
- A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation☆50Updated 7 years ago
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated last year
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 6 years ago
- Label Distribution Learning Forest☆30Updated 7 years ago
- Keras implementation of temporal ensembling(semi-supervised learning)☆22Updated 6 years ago
- Materials for implementing and reproducing results in the NIPS paper.☆23Updated 10 years ago
- Keras implementation of MinimalRNN: Toward More Interpretable and Trainable Recurrent Neural Networks☆17Updated 7 years ago
- contains the code for models in the paper Robust, Deep and Inductive Anomaly Detection☆35Updated 8 years ago
- Denoising Adversairal Autoencoders☆40Updated 8 years ago
- Pytorch implementation of Adaptative Dropout a.ka Standout.☆12Updated 7 years ago
- Python implementation of the infomration bottleneck method (tishby et al, 1999)☆36Updated 8 years ago
- ☆40Updated 6 years ago
- Semi supervised learning on graphs☆35Updated 7 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Updated 6 years ago
- Package to apply MTL on a few dataset☆26Updated 8 years ago
- The implementation the paper 'Learning Deep Latent Spaces for Multi-Label Classifications' in AAAI 2017☆27Updated 7 years ago
- Code and dataset for "Transfer Learning Between Related Tasks Using Expected Label Proportions"☆16Updated 5 years ago