taolei87 / icml17_knn
Deriving Neural Architectures from Sequence and Graph Kernels
☆60Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for icml17_knn
- pytorch implementation of grammar variational autoencoder☆60Updated 6 years ago
- This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request☆33Updated 7 years ago
- Supplementary code to "Convolutional Neural Networks Generalization Utilizing the Data Graph Structure"☆51Updated 7 years ago
- For training very deep networks☆9Updated 7 years ago
- Implementation of the Multiscale Laplacian Graph Kernel☆18Updated 5 years ago
- Survey of hyperparameter optimization use in NIPS2014☆13Updated 9 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 8 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- Code for the paper "Learning sparse transformations through backpropagation"☆42Updated 4 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆58Updated 6 years ago
- Proceedings of ICML 2018☆39Updated last year
- Code to accompany the paper "Learning Graphical State Transitions"☆169Updated 7 years ago
- code for fast dropout☆45Updated 8 years ago
- Implementation of search-convolutional neural networks (SCNNs)☆52Updated 7 years ago
- ☆24Updated 7 years ago
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 5 years ago
- boundary-seeking generative adversarial networks☆46Updated 6 years ago
- Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)☆30Updated 3 years ago
- BayesGrad: Explaining Predictions of Graph Convolutional Networks☆63Updated 2 years ago
- A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.☆41Updated 8 years ago
- Topics on theoretical, mathematical aspects of DL☆71Updated 8 years ago
- Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"☆39Updated 6 years ago
- Repo for code for the NIPS paper entitled "An Architecture for Deep, Hierarchical Generative Models"☆14Updated 8 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 6 years ago
- Sample pytorch implementation of Covariant Compositional Networks☆13Updated 6 years ago
- Implementation of condnets☆15Updated 8 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆38Updated 5 years ago