felixyu / SRF
Spherical random features for polynomial kernels
☆10Updated 8 years ago
Related projects ⓘ
Alternatives and complementary repositories for SRF
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Updated 4 years ago
- Lua implementation of Entropy-SGD☆81Updated 6 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆85Updated 8 years ago
- ☆44Updated 6 years ago
- ☆31Updated 4 years ago
- AutoDIAL Caffe Implementation☆27Updated 7 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆61Updated 3 years ago
- Learning to share: simultaneous parameter tying and sparsification in deep learning☆12Updated 6 years ago
- ☆82Updated 4 years ago
- Riemannian approach to batch normalization☆21Updated 7 years ago
- This repository is no longer maintained. Check☆82Updated 4 years ago
- Structured Bayesian Pruning, NIPS 2017☆73Updated 4 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆38Updated 5 years ago
- ☆13Updated 6 years ago
- code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning☆26Updated 5 years ago
- The code for the paper: https://arxiv.org/pdf/1802.00168.pdf☆17Updated 5 years ago
- Sliced Wasserstein Generator☆37Updated 6 years ago
- Implementation of Information Dropout☆39Updated 7 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 4 years ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆57Updated 6 years ago
- EigenPro2 iteration in Tensorflow (Keras)☆23Updated 5 years ago
- The Deep Weight Prior, ICLR 2019☆44Updated 3 years ago
- Feasible target propagation code for the paper "Deep Learning as a Mixed Convex-Combinatorial Optimization Problem" by Friesen & Domingos…☆28Updated 6 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- Learning Deep Parsimonious Representations, Deep Learning, Clustering, NIPS 2016☆14Updated 4 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆34Updated 4 years ago
- Code for Stochastic Hyperparameter Optimization through Hypernetworks☆23Updated 6 years ago
- A PyTorch library for differentiable submodular minimization.☆57Updated 7 years ago
- ☆36Updated 3 years ago