MinhyungCho / riemannian-batch-normalization
Riemannian approach to batch normalization
☆18Updated 7 years ago
Alternatives and similar repositories for riemannian-batch-normalization
Users that are interested in riemannian-batch-normalization are comparing it to the libraries listed below
Sorting:
- ☆23Updated 6 years ago
- ☆21Updated 5 years ago
- Pytorch implementation of of "Domain Intersection and Domain Difference" (ICCV 2019)☆40Updated 5 years ago
- ☆34Updated 6 years ago
- Code for the paper "Banach Wasserstein GAN"☆31Updated 6 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
- An Implementation of "Small steps and giant leaps: Minimal Newton solvers for Deep Learning" In pytorch☆21Updated 6 years ago
- Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …☆39Updated 2 years ago
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆57Updated 6 years ago
- pytorch implementation of "Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsup…☆18Updated 5 years ago
- Riemannian approach to batch normalization☆22Updated 7 years ago
- ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.☆22Updated 9 months ago
- Improving generalization by controlling label-noise information in neural network weights.☆40Updated 4 years ago
- PyTorch Implementation of CVPR'19 - On the Intrinsic Dimensionality of Image Representation☆23Updated 5 years ago
- ☆46Updated 2 years ago
- Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19☆48Updated 5 years ago
- Tensorflow implementation of Discriminator Rejection Sampling☆24Updated 5 years ago
- Code for the paper☆29Updated 5 years ago
- Semi-supervised deep learning by metric embedding☆19Updated 8 years ago
- [ICLR 2019] ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees☆32Updated 5 years ago
- Official PyTorch implementation of Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation (ICLR 2019)☆93Updated 9 months ago
- ☆32Updated 6 years ago
- AutoDIAL Caffe Implementation☆27Updated 7 years ago
- Implementation of our ECCV '18 paper " Deep Expander Networks: Efficient Deep Networks from Graph Theory".☆42Updated 5 years ago
- For the reproduction of research by Agostinelli et al. Learning Activation Functions to Improve Deep Neural Networks. http://arxiv.org/ab…☆19Updated 10 years ago
- Implementation of the Budgeted Super Networks☆25Updated 6 years ago
- Pytorch Implementation of HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning (https://arxiv.org/abs/18…☆16Updated 6 years ago
- Uncertainty interpretations of the neural network☆32Updated 7 years ago
- Code for the Paper "Centroid Networks for Few-Shot Clustering and Unsupervised Few-Shot Classification"☆23Updated 5 years ago
- Like Moving MNIST, but way more flexible☆24Updated 4 years ago