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
Sorting:
- Proceedings of ICML 2018☆39Updated 2 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 8 years ago
- Architecture learning for CNN's☆37Updated 8 years ago
- Reference implementation for Structured Prediction with Deep Value Networks☆55Updated 7 years ago
- Unsupervised Learning by Predicting Noise☆90Updated 3 years ago
- Code of "Max-margin Deep Generative Models" (NIPS15)☆18Updated 9 years ago
- ☆79Updated 7 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 7 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- Cluttered MNIST Dataset☆51Updated 10 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 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
- 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 Appendix A (Neural Architecture Search with Reinforcement Learning: https://arxiv.org/abs/1611.01578) by chainer☆55Updated 6 years ago
- ☆20Updated 8 years ago
- ☆29Updated 7 years ago
- Wide-residual network implementations. Best result for cifar10(97.12%), cifar100(84.12%), and other kaggle challenges☆37Updated 8 years ago
- Code for "Unifying distillation and privileged information" (ICLR 2016).☆48Updated 9 years ago
- Python implementation of the infomration bottleneck method (tishby et al, 1999)☆36Updated 7 years ago
- TargetProp for RNNs☆27Updated 6 years ago
- Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)☆80Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- Adversarial Multiclass Classification: A Risk Minimization Perspective☆28Updated 5 years ago
- ☆44Updated 7 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.☆41Updated 9 years ago
- RNNprop☆36Updated 8 years ago
- ☆12Updated 7 years ago
- Tensorflow implementation of SGD with Coupled Adaptive Batch Size (CABS)☆43Updated 8 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago