MinhyungCho / riemannian-batch-normalization-pytorch
Riemannian approach to batch normalization
☆21Updated 7 years ago
Alternatives and similar repositories for riemannian-batch-normalization-pytorch:
Users that are interested in riemannian-batch-normalization-pytorch are comparing it to the libraries listed below
- Riemannian approach to batch normalization☆18Updated 7 years ago
- Sliced Wasserstein Generator☆37Updated 6 years ago
- The Deep Weight Prior, ICLR 2019☆44Updated 3 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Updated 5 years ago
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Updated 5 years ago
- This repository is no longer maintained. Check☆81Updated 4 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 7 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018☆40Updated 6 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆41Updated 5 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆34Updated 4 years ago
- Sliced Wasserstein Generator☆23Updated 6 years ago
- ☆81Updated 7 years ago
- Code for the paper "Banach Wasserstein GAN"☆31Updated 5 years ago
- Reference implementation of divergence triangle https://arxiv.org/abs/1812.10907☆16Updated last year
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 years ago
- Lua implementation of Entropy-SGD☆81Updated 6 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆63Updated 4 years ago
- ☆42Updated 5 years ago
- Uncertainty Autoencoders, AISTATS 2019☆55Updated 5 years ago
- unsupervised video and image generation☆58Updated 4 years ago
- ☆46Updated 7 years ago
- ☆53Updated 6 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆53Updated 4 months ago
- PyTorch and Torch implementation for our accepted CVPR 2020 paper (Oral): Controllable Orthogonalization in Training DNNs☆24Updated 4 years ago