oval-group / dfw
Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch
☆61Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for dfw
- ☆44Updated 6 years ago
- ☆23Updated 5 years ago
- ☆34Updated 5 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 6 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Updated 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
- This repository is no longer maintained. Check☆82Updated 4 years ago
- ☆12Updated 5 years ago
- The Deep Weight Prior, ICLR 2019☆44Updated 3 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆39Updated 5 years ago
- ☆35Updated 5 years ago
- Net2Net implementation on PyTorch for any possible vision layers.☆38Updated 7 years ago
- Generalized Framework for PyTorch☆32Updated 2 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 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 9 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 5 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆33Updated 4 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 5 years ago
- Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …☆39Updated last year
- Lua implementation of Entropy-SGD☆81Updated 6 years ago
- Structured Bayesian Pruning, NIPS 2017☆73Updated 4 years ago
- Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · …☆20Updated 6 years ago
- An Implementation of "Small steps and giant leaps: Minimal Newton solvers for Deep Learning" In pytorch☆21Updated 6 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 6 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- An implementation of shampoo☆74Updated 6 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆34Updated 4 years ago
- Code repository for the paper "DeepPermNet: Visual Permutation Learning".☆19Updated 7 years ago