lopezpaz / distillation_privileged_information
Code for "Unifying distillation and privileged information" (ICLR 2016).
☆48Updated 9 years ago
Alternatives and similar repositories for distillation_privileged_information:
Users that are interested in distillation_privileged_information are comparing it to the libraries listed below
- ☆63Updated 8 years ago
- Learning Deep Parsimonious Representations, Deep Learning, Clustering, NIPS 2016☆14Updated 5 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 8 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 7 years ago
- Lasagne code for weight normalization☆88Updated 8 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 9 years ago
- Code for Attentive Recurrent Comparators☆57Updated 8 years ago
- Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"☆110Updated 7 years ago
- Batch-Normalized LSTM (Recurrent Batch Normalization) implementation in Torch.☆91Updated 8 years ago
- Semi-supervised deep learning by metric embedding☆19Updated 8 years ago
- ☆38Updated 8 years ago
- numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641☆53Updated 8 years ago
- A Torch interface for pastalog - simple, realtime visualization of neural network training performance☆45Updated 8 years ago
- A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.☆41Updated 8 years ago
- Implementation of Adversarial Autoencoder with Theano☆40Updated 8 years ago
- Author's implementation of 'Unsupervised Visual Representation Learning by Context Prediction'☆115Updated 7 years ago
- ☆29Updated 7 years ago
- code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning☆26Updated 5 years ago
- Torch implementation of "Deep Exploration via Bootstrapped DQN"☆42Updated 8 years ago
- Professor Forcing, NIPS'16☆46Updated 7 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- Tensorflow implementation of SGD with Coupled Adaptive Batch Size (CABS)☆43Updated 8 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆59Updated 7 years ago
- ☆15Updated 10 years ago
- Generative moment matching networks☆149Updated 8 years ago
- ☆17Updated 7 years ago
- Reference implementation for Structured Prediction with Deep Value Networks☆54Updated 7 years ago
- ☆9Updated 8 years ago
- Experiment files for the paper "An Analysis of Unsupervised Pre-training in Light of Recent Advances", available here: http://arxiv.org/a…☆18Updated 9 years ago
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Updated 4 years ago