ehosseiniasl / deep-cca
Deep CCA (DCCA) network
☆15Updated 8 years ago
Alternatives and similar repositories for deep-cca:
Users that are interested in deep-cca are comparing it to the libraries listed below
- a python code for deep canonical correlation analysis (dcca) written using numpy☆37Updated 4 years ago
- Deep Canonical Correlation Analysis (DCCA) implementation using Theano☆24Updated 8 years ago
- Noise-as-targets representation learning for cifar10. Implementation based on the paper "Unsupervised Learning by Predicting Noise" by Bo…☆23Updated 7 years ago
- Representation based multi label classification with many labels☆40Updated 8 years ago
- Variational Autoencoders (VAEs) in Theano for Images and Text☆54Updated 7 years ago
- The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)☆72Updated 6 years ago
- experiments and datasets used for the paper "A Deep Learning Approach to Unsupervised Ensemble Learning"☆20Updated 8 years ago
- Semi-Supervised Learning with Categorical VAE (experimented on MNIST)☆29Updated 7 years ago
- A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation☆50Updated 7 years ago
- Implementation attempt of "From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification"☆53Updated 8 years ago
- Label Distribution Learning Forest☆30Updated 7 years ago
- Repository for our paper "Zero-Shot Learning Through Cross-Modal Transfer" from NIPS 2013.☆53Updated 10 years ago
- ☆9Updated 8 years ago
- Python implementation of (linear) Marginalized Stacked Denoising Autoencoder (mSDA), as well as dense Cohort of Terms (dCoT). Based on Ma…☆27Updated 4 years ago
- Multi-view Learning with Vector-valued RKHS - ICML 2013☆17Updated 10 years ago
- Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"☆110Updated 7 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 9 years ago
- Professor Forcing, NIPS'16☆46Updated 7 years ago
- A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data, TPAMI, http://arxiv.org/abs/1409.3970☆41Updated 9 years ago
- Adversarial Discriminative Domain Adaptation with MNIST 64x64 in Lasagne-Theano☆32Updated 7 years ago
- Python Implementation of Weighted Generalized Canonical Correlation Analysis☆33Updated 6 years ago
- [DEPRECATED] Please move to https://github.com/thuml/transfer-caffe☆18Updated 7 years ago
- SupportNet: solving catastrophic forgetting in class incremental learning with support data☆34Updated 6 years ago
- This repository contains the code for the real data experiments presented in our paper “An embarrassingly simple approach to zero-shot l…☆68Updated 8 years ago
- TensorFlow implementation of "Good Semi-supervised Learning that Requires a Bad GAN"☆12Updated 7 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 9 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 7 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 7 years ago
- Deep generative models for semi-supervised learning.☆108Updated 8 years ago
- Implementation of Deep Linear Discriminant Analysis (DeepLDA)☆48Updated 8 years ago