Improvements to Gradient Descent Methods for Quantum Tensor Network Machine Learning

3 March 2022

Papers citing "Improvements to Gradient Descent Methods for Quantum Tensor Network Machine Learning"

12 / 12 papers shown

Title
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 208 698 0 24 Jan 2021
Supervised Learning with Projected Entangled Pair States Song Cheng Lei Wang Pan Zhang 77 56 0 12 Sep 2020
Anomaly Detection with Tensor Networks Jinhui Wang Chase Roberts G. Vidal Stefan Leichenauer 81 41 0 03 Jun 2020
A Multi-Scale Tensor Network Architecture for Classification and Regression J. Reyes Miles E. Stoudenmire 48 26 0 22 Jan 2020
Tangent-Space Gradient Optimization of Tensor Network for Machine Learning Zheng-Zhi Sun Shi-Ju Ran G. Su 37 14 0 10 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 520 42,559 0 03 Dec 2019
Tree Tensor Networks for Generative Modeling Song Cheng Lei Wang Tao Xiang Pan Zhang 98 130 0 08 Jan 2019
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 201 4,361 0 24 Jun 2018
Tensorizing Neural Networks Alexander Novikov D. Podoprikhin A. Osokin Dmitry Vetrov 112 883 0 22 Sep 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 362 19,723 0 09 Mar 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 326 18,647 0 06 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,260 0 22 Dec 2014