wendazhou / nnet-compression-generalizationLinks
☆27Updated 6 years ago
Alternatives and similar repositories for nnet-compression-generalization
Users that are interested in nnet-compression-generalization are comparing it to the libraries listed below
Sorting:
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆54Updated 5 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Lua implementation of Entropy-SGD☆82Updated 7 years ago
- ☆46Updated 7 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆62Updated 4 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 6 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- Geometric Certifications of Neural Nets☆41Updated 2 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 4 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆35Updated 4 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 3 months ago
- ☆33Updated 6 years ago
- Implementation of Information Dropout☆39Updated 7 years ago
- ☆31Updated 4 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- ☆83Updated 5 years ago
- Convolutional Neural Tangent Kernel☆111Updated 5 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆21Updated 6 years ago
- This repository contains the code to reproduce the core results from the paper "The Numerics of GANs".☆46Updated 6 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 8 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- ☆13Updated 7 years ago
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆32Updated 4 years ago
- Optimizing control variates for black-box gradient estimation☆163Updated 5 years ago
- This repo contains the code used for NeurIPS 2019 paper "Asymmetric Valleys: Beyond Sharp and Flat Local Minima".☆14Updated 5 years ago
- Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"☆139Updated 8 years ago