dongzhuoyao / admm_nn
Training Neural Networks Without Gradients: A Scalable ADMM Approach python implement
☆15Updated 7 years ago
Alternatives and similar repositories for admm_nn:
Users that are interested in admm_nn are comparing it to the libraries listed below
- Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018☆24Updated 6 years ago
- Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks☆30Updated 2 years ago
- Code For Beyond Finite Layer Neural Network:Bridging Deep Architects and Numerical Differential Equations☆16Updated 5 years ago
- ☆10Updated 5 years ago
- Pytorch implementation of Group Equivariant Capsule Networks☆29Updated 6 years ago
- Uncertainty Autoencoders, AISTATS 2019☆54Updated 5 years ago
- Code base for SRSGD.☆28Updated 4 years ago
- supervised deep sparse coding networks☆31Updated 7 years ago
- PyTorch and Torch implementation for our accepted CVPR 2020 paper (Oral): Controllable Orthogonalization in Training DNNs☆24Updated 4 years ago
- unsupervised video and image generation☆58Updated 4 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- Interpolation between Residual and Non-Residual Networks, ICML 2020. https://arxiv.org/abs/2006.05749☆26Updated 4 years ago
- The Deep Weight Prior, ICLR 2019☆44Updated 3 years ago
- Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019☆27Updated 4 years ago
- ☆19Updated 5 years ago
- Code for Stochastic Hyperparameter Optimization through Hypernetworks☆23Updated 6 years ago
- This project is the Torch implementation of our accepted CVPR 2019 paper, Iterative Normalization: Beyond Standardization towards Effic…☆24Updated 4 years ago
- [IJCAI'19] Nostalgic Adam: Weighting more of the past gradients when designing the adaptive learning rate☆12Updated 5 years ago
- Pytorch Implementation of HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning (https://arxiv.org/abs/18…☆16Updated 6 years ago
- Implementation of Information Dropout☆39Updated 7 years ago
- Pytorch implementation of Adaptative Dropout a.ka Standout.☆12Updated 6 years ago
- ☆35Updated 4 years ago
- Nonlinear SVGD for Learning Diversified Mixture Models☆13Updated 6 years ago
- [NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong C…☆43Updated 3 years ago
- Sliced Wasserstein Generator☆37Updated 6 years ago
- Code accompanying our paper "Finding trainable sparse networks through Neural Tangent Transfer" to be published at ICML-2020.☆13Updated 4 years ago
- This repo contains the code used for NeurIPS 2019 paper "Asymmetric Valleys: Beyond Sharp and Flat Local Minima".☆14Updated 5 years ago
- ☆53Updated 6 years ago
- Pytorch package for geometric softmax☆12Updated 5 years ago
- Sliced Wasserstein Generator☆23Updated 6 years ago