dilinwang820 / fast-energy-aware-splitting
Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent
☆13Updated 5 years ago
Alternatives and similar repositories for fast-energy-aware-splitting:
Users that are interested in fast-energy-aware-splitting are comparing it to the libraries listed below
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 6 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- ☆34Updated 4 years ago
- ☆45Updated 5 years ago
- Offical Repo for Splitting Steepest Descent for Growing Neural Architectures☆12Updated 3 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Implementation of Information Dropout☆39Updated 7 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆62Updated 4 years ago
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Updated 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
- Local search for NAS☆18Updated 4 years ago
- Encodings for neural architecture search☆29Updated 4 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…