A One-Shot Reparameterization Method for Reducing the Loss of Tile Pruning on DNNs

29 July 2022

Papers citing "A One-Shot Reparameterization Method for Reducing the Loss of Tile Pruning on DNNs"

6 / 6 papers shown

Title
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech Vadim Popov Ivan Vovk Vladimir Gogoryan Tasnima Sadekova Mikhail Kudinov DiffM 70 526 0 13 May 2021
Diverse Branch Block: Building a Convolution as an Inception-like Unit Xiaohan Ding Xinming Zhang Jungong Han Guiguang Ding AI4CE 35 282 0 24 Mar 2021
RepVGG: Making VGG-style ConvNets Great Again Xiaohan Ding Xinming Zhang Ningning Ma Jungong Han Guiguang Ding Jian Sun 187 1,567 0 11 Jan 2021
Importance Estimation for Neural Network Pruning Pavlo Molchanov Arun Mallya Stephen Tyree I. Frosio Jan Kautz 3DPC 51 866 0 25 Jun 2019
The Limits and Potentials of Deep Learning for Robotics Niko Sünderhauf Oliver Brock Walter J. Scheirer R. Hadsell Dieter Fox ... B. Upcroft Pieter Abbeel Wolfram Burgard Michael Milford Peter Corke 50 525 0 18 Apr 2018
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 173 6,628 0 08 Jun 2015