mlresearch / v70
Proceedings of ICML 2017
☆24Updated 2 years ago
Alternatives and similar repositories for v70:
Users that are interested in v70 are comparing it to the libraries listed below
- Proceedings of ICML 2018☆39Updated 2 years ago
- RNNprop☆36Updated 7 years ago
- Architecture learning for CNN's☆37Updated 7 years ago
- ☆38Updated 6 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
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- Reference implementation for Structured Prediction with Deep Value Networks☆54Updated 7 years ago
- Python implementation of the infomration bottleneck method (tishby et al, 1999)☆36Updated 7 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 6 years ago
- TargetProp for RNNs☆27Updated 5 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 3 years ago
- Tensorflow implementation of SGD with Coupled Adaptive Batch Size (CABS)☆43Updated 7 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
- ACDC: A Structured Efficient Linear Layer☆43Updated 9 years ago
- MPI for Torch☆60Updated 7 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- ☆29Updated 7 years ago
- Cluttered MNIST Dataset☆50Updated 9 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 7 years ago
- Code for the blog post on few-shot classification via task representation and communication.☆18Updated 7 years ago
- Repo for code for the NIPS paper entitled "An Architecture for Deep, Hierarchical Generative Models"☆14Updated 8 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 8 years ago
- deep extensions to nn☆23Updated 8 years ago
- Professor Forcing, NIPS'16☆46Updated 7 years ago
- Topics on theoretical, mathematical aspects of DL☆71Updated 8 years ago
- code for fast dropout☆46Updated 9 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- Convexified Convolutional Neural Networks☆15Updated 8 years ago
- Implementation of Appendix A (Neural Architecture Search with Reinforcement Learning: https://arxiv.org/abs/1611.01578) by chainer☆54Updated 6 years ago