The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design

13 November 2019

Papers citing "The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design"

7 / 7 papers shown

Title
The Hidden Power of Pure 16-bit Floating-Point Neural Networks Juyoung Yun Byungkon Kang Zhoulai Fu MQ 18 1 0 30 Jan 2023
Understanding Time Variations of DNN Inference in Autonomous Driving Liangkai Liu Yanzhi Wang Weisong Shi AI4TS AI4CE 10 6 0 12 Sep 2022
Flexible Multiple-Objective Reinforcement Learning for Chip Placement Fu-Chieh Chang Yu-Wei Tseng Ya-Wen Yu Ssu-Rui Lee Alexandru Cioba ... Chien-Yi Yang Ren-Chu Wang Yao-Wen Chang Tai-Chen Chen Tung-Chieh Chen OffRL 27 5 0 13 Apr 2022
Pairing Conceptual Modeling with Machine Learning W. Maass V. Storey HAI 6 33 0 27 Jun 2021
The Hardware Lottery Sara Hooker 25 202 0 14 Sep 2020
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,740 0 26 Sep 2016