Accelerating Convolutional Neural Networks via Activation Map Compression

10 December 2018

Papers citing "Accelerating Convolutional Neural Networks via Activation Map Compression"

6 / 6 papers shown

Title
Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training Jared Fernandez Luca Wehrstedt Leonid Shamis Mostafa Elhoushi Kalyan Saladi Yonatan Bisk Emma Strubell Jacob Kahn 87 3 0 20 Nov 2024
$Dual sparse training framework: inducing activation map sparsity via Transformed $\ell1$ regularization$ Dual sparse training framework: inducing activation map sparsity via Transformed $\ell1$ regularization Xiaolong Yu Cong Tian 30 0 0 30 May 2024
Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices Kilian Pfeiffer R. Khalili J. Henkel FedML 23 5 0 26 May 2023
Emergent representations in networks trained with the Forward-Forward algorithm Niccolo Tosato Lorenzo Basile Emanuele Ballarin Giuseppe de Alteriis Alberto Cazzaniga A. Ansuini 11 9 0 26 May 2023
SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving Minjae Lee Seongmin Park Hyung-Se Kim Minyong Yoon Jangwhan Lee Junwon Choi Nam Sung Kim Mingu Kang Jungwook Choi 3DPC 15 4 0 12 May 2023
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding V. Papyan Yaniv Romano Michael Elad 48 283 0 27 Jul 2016