RingCNN: Exploiting Algebraically-Sparse Ring Tensors for Energy-Efficient CNN-Based Computational Imaging

19 April 2021

Papers citing "RingCNN: Exploiting Algebraically-Sparse Ring Tensors for Energy-Efficient CNN-Based Computational Imaging"

6 / 6 papers shown

Title
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators Mingi Yoo Jaeyong Song Jounghoo Lee Namhyung Kim Youngsok Kim Jinho Lee GNN 38 17 0 25 Jan 2023
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators Min-hee Yoo Jaeyong Song Hyeyoon Lee Jounghoo Lee Namhyung Kim Youngsok Kim Jinho Lee GNN 36 5 0 24 Jan 2023
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning Mohammad Hossein Samavatian Saikat Majumdar Kristin Barber R. Teodorescu AAML 14 2 0 31 Jul 2022
Comparing Rewinding and Fine-tuning in Neural Network Pruning Alex Renda Jonathan Frankle Michael Carbin 224 383 0 05 Mar 2020
Quaternion Convolutional Neural Networks for Heterogeneous Image Processing Titouan Parcollet Mohamed Morchid G. Linarès 140 93 0 31 Oct 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,567 0 17 Apr 2017