YixuanLi / convergent_learning
Code for paper "Convergent Learning: Do different neural networks learn the same representations?"
☆86Updated 8 years ago
Alternatives and similar repositories for convergent_learning:
Users that are interested in convergent_learning are comparing it to the libraries listed below
- ☆63Updated 8 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 7 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆100Updated 8 years ago
- Learning Deep Parsimonious Representations, Deep Learning, Clustering, NIPS 2016☆14Updated 5 years ago
- code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning☆26Updated 5 years ago
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆117Updated 7 years ago
- ☆121Updated 7 years ago
- Reference implementation for Structured Prediction with Deep Value Networks☆54Updated 7 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 9 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 6 years ago
- PixelVAE with or without regularization☆66Updated 7 years ago
- Uncertainty interpretations of the neural network☆32Updated 6 years ago
- Generative moment matching networks☆149Updated 8 years ago
- Code for "Unifying distillation and privileged information" (ICLR 2016).☆48Updated 8 years ago
- Unsupervised Learning by Predicting Noise☆90Updated 3 years ago
- ☆24Updated 8 years ago
- ☆29Updated 7 years ago
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆148Updated 7 years ago
- ☆68Updated 7 years ago
- Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…☆62Updated 8 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- Deep Generative Models with Stick-Breaking Priors☆95Updated 8 years ago
- ☆219Updated 6 years ago
- Related materials for robust and explainable machine learning☆47Updated 7 years ago
- Cluttered MNIST Dataset☆50Updated 9 years ago
- ☆79Updated 7 years ago
- Denoising Adversairal Autoencoders☆40Updated 7 years ago
- Code for Attentive Recurrent Comparators☆57Updated 7 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 years ago