felixyu / SRF
Spherical random features for polynomial kernels
☆10Updated 8 years ago
Related projects ⓘ
Alternatives and complementary repositories for SRF
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆34Updated 4 years ago
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆56Updated 4 years ago
- Lua implementation of Entropy-SGD☆81Updated 6 years ago
- An Implementation of "Small steps and giant leaps: Minimal Newton solvers for Deep Learning" In pytorch☆21Updated 6 years ago
- code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning☆25Updated 5 years ago
- The Deep Weight Prior, ICLR 2019☆44Updated 3 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆85Updated 8 years ago
- ☆44Updated 6 years ago
- This repository contains the code to reproduce the core results from the paper "The Numerics of GANs".☆46Updated 6 years ago
- Public code for a paper "Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks."☆34Updated 5 years ago
- ☆31Updated 4 years ago
- ☆13Updated 6 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆61Updated 3 years ago
- Generative Model for Neural Networks☆25Updated 4 years ago
- Generalized Framework for PyTorch☆32Updated 2 years ago
- Code for paper "Dimensionality-Driven Learning with Noisy Labels" - ICML 2018☆58Updated 4 months ago
- Scaleable input gradient regularization☆22Updated 5 years ago
- AutoDIAL Caffe Implementation☆27Updated 7 years ago
- ☆25Updated 6 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆34Updated 6 years ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆57Updated 6 years ago
- Riemannian approach to batch normalization☆21Updated 6 years ago
- ☆26Updated 3 years ago
- The code for the paper: https://arxiv.org/abs/1806.06317☆24Updated 5 years ago
- ☆27Updated 6 years ago
- ☆65Updated 7 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆33Updated 4 years ago
- ☆21Updated 5 years ago
- Implementation of Information Dropout☆39Updated 7 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Updated 5 years ago