The Computational Limits of Deep Learning

10 July 2020

Papers citing "The Computational Limits of Deep Learning"

20 / 70 papers shown

Title
PositNN: Training Deep Neural Networks with Mixed Low-Precision Posit Gonçalo Raposo P. Tomás Nuno Roma MQ 27 19 0 30 Apr 2021
An optical neural network using less than 1 photon per multiplication Tianyu Wang Shifan Ma Logan G. Wright Tatsuhiro Onodera Brian C. Richard Peter L. McMahon 48 177 0 27 Apr 2021
Carbon Emissions and Large Neural Network Training David A. Patterson Joseph E. Gonzalez Quoc V. Le Chen Liang Lluís-Miquel Munguía D. Rothchild David R. So Maud Texier J. Dean AI4CE 253 645 0 21 Apr 2021
Efficient and Generic 1D Dilated Convolution Layer for Deep Learning Narendra Chaudhary Sanchit Misra Dhiraj D. Kalamkar A. Heinecke E. Georganas Barukh Ziv Menachem Adelman Bharat Kaul 29 9 0 16 Apr 2021
Avalanche: an End-to-End Library for Continual Learning Vincenzo Lomonaco Lorenzo Pellegrini Andrea Cossu Antonio Carta G. Graffieti ... Christopher Kanan Joost van de Weijer Tinne Tuytelaars D. Bacciu Davide Maltoni BDL AI4TS 28 181 0 01 Apr 2021
Online Deterministic Annealing for Classification and Clustering Christos N. Mavridis John S. Baras ODL 22 17 0 11 Feb 2021
BERT Goes Shopping: Comparing Distributional Models for Product Representations Federico Bianchi Bingqing Yu Jacopo Tagliabue 22 15 0 17 Dec 2020
Bringing AI To Edge: From Deep Learning's Perspective Di Liu Hao Kong Xiangzhong Luo Weichen Liu Ravi Subramaniam 52 116 0 25 Nov 2020
The De-democratization of AI: Deep Learning and the Compute Divide in Artificial Intelligence Research N. Ahmed Muntasir Wahed 25 106 0 22 Oct 2020
The Hardware Lottery Sara Hooker 27 203 0 14 Sep 2020
AIPerf: Automated machine learning as an AI-HPC benchmark Zhixiang Ren Yongheng Liu Tianhui Shi Lei Xie Yue Zhou Jidong Zhai Youhui Zhang Yunquan Zhang Wenguang Chen 27 22 0 17 Aug 2020
Measuring the Algorithmic Efficiency of Neural Networks Danny Hernandez Tom B. Brown 241 94 0 08 May 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 262 656 0 23 Mar 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 191 1,027 0 06 Mar 2020
A Neuromorphic Proto-Object Based Dynamic Visual Saliency Model with an FPGA Implementation J. Molin Chetan Singh Thakur R. Etienne-Cummings E. Niebur 21 9 0 27 Feb 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 264 4,489 0 23 Jan 2020
Entropic Out-of-Distribution Detection David Macêdo T. I. Ren Cleber Zanchettin Adriano Oliveira Teresa B Ludermir OODD UQCV 22 31 0 15 Aug 2019
$All-Optical Machine Learning Using Diffractive Deep Neural Networks$ All-Optical Machine Learning Using Diffractive Deep Neural Networks Xing Lin Y. Rivenson N. Yardimci Muhammed Veli Mona Jarrahi Aydogan Ozcan 76 1,628 0 14 Apr 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 362 11,700 0 09 Mar 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,225 0 16 Nov 2016