eBay / AutoOpt
Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent
☆45Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for AutoOpt
- ☆61Updated last year
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 5 years ago
- Code base for SRSGD.☆28Updated 4 years ago
- This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…☆36Updated 4 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆67Updated 5 years ago
- ☆34Updated 5 years ago
- pytorch implementation of Structured Bayesian Pruning☆19Updated 6 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆16Updated 3 years ago
- ☆12Updated 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
- Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …☆39Updated last year
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 4 years ago
- Mathematical consequences of orthogonal weights initialization and regularization in deep learning. Experiments with gain-adjusted orthog…☆17Updated 5 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 6 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 5 years ago
- Pytorch implementation of Adaptative Dropout a.ka Standout.☆11Updated 6 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆61Updated 3 years ago
- Awesome papers in few-shot learning/one-shot learning.☆30Updated 5 years ago
- Source code for paper Choromanska et al. -- Beyond Backprop: Online Alternating Minimization with Auxiliary Variables -- http://proceedin…☆24Updated 5 years ago
- Code for the paper "Mean Spectral Normalization"☆9Updated 5 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆34Updated 4 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆35Updated 2 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆44Updated 4 years ago
- AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks☆41Updated 6 years ago
- The code reproduces the results of the experiments in the paper. In particular, it performs experiments in which machine-learning models …☆19Updated 3 years ago
- Implemented Split-Brain Autoencoder by Zhang et al.☆8Updated 6 years ago
- Local search for NAS☆18Updated 4 years ago
- "Learning Rate Dropout" in PyTorch☆34Updated 4 years ago
- Statistical adaptive stochastic optimization methods☆32Updated 4 years ago
- The Deep Weight Prior, ICLR 2019☆44Updated 3 years ago