Title
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems Weijie Zhao Deping Xie Ronglai Jia Yulei Qian Rui Ding Mingming Sun P. Li MoE 120 151 0 12 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 398 18,897 0 13 Feb 2020
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning Peter Henderson Jie Hu Joshua Romoff Emma Brunskill Dan Jurafsky Joelle Pineau 97 457 0 31 Jan 2020
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing Liu Ke Udit Gupta Carole-Jean Wu B. Cho Mark Hempstead ... Dheevatsa Mudigere Maxim Naumov Martin D. Schatz M. Smelyanskiy Xiaodong Wang 68 222 0 30 Dec 2019
Energy Usage Reports: Environmental awareness as part of algorithmic accountability Kadan Lottick Silvia Susai Sorelle A. Friedler Jonathan P. Wilson 98 57 0 19 Nov 2019
MLPerf Inference Benchmark Vijayarāghava Reḍḍī C. Cheng David Kanter Pete H Mattson Guenther Schmuelling ... Bing Yu George Y. Yuan Aaron Zhong P. Zhang Yuchen Zhou 108 507 0 06 Nov 2019
Unsupervised Cross-lingual Representation Learning at Scale Alexis Conneau Kartikay Khandelwal Naman Goyal Vishrav Chaudhary Guillaume Wenzek Francisco Guzmán Edouard Grave Myle Ott Luke Zettlemoyer Veselin Stoyanov 228 6,593 0 05 Nov 2019
Federated Evaluation of On-device Personalization Kangkang Wang Rajiv Mathews Chloé Kiddon Hubert Eichner F. Beaufays Daniel Ramage FedML 82 286 0 22 Oct 2019
Quantifying the Carbon Emissions of Machine Learning Alexandre Lacoste A. Luccioni Victor Schmidt Thomas Dandres 120 712 0 21 Oct 2019
On Empirical Comparisons of Optimizers for Deep Learning Dami Choi Christopher J. Shallue Zachary Nado Jaehoon Lee Chris J. Maddison George E. Dahl 109 259 0 11 Oct 2019
MLPerf Training Benchmark Arya D. McCarthy Christine Cheng Cody Coleman Greg Diamos Paulius Micikevicius ... Carole-Jean Wu Lingjie Xu Masafumi Yamazaki C. Young Matei A. Zaharia 103 316 0 02 Oct 2019
Once-for-All: Train One Network and Specialize it for Efficient Deployment Han Cai Chuang Gan Tianzhe Wang Zhekai Zhang Song Han OOD 126 1,283 0 26 Aug 2019
Green AI Roy Schwartz Jesse Dodge Noah A. Smith Oren Etzioni 130 1,159 0 22 Jul 2019
Neural Input Search for Large Scale Recommendation Models Manas R. Joglekar Cong Li Jay K. Adams Pranav Khaitan Quoc V. Le 56 115 0 10 Jul 2019
Federated Learning for Emoji Prediction in a Mobile Keyboard Swaroop Indra Ramaswamy Rajiv Mathews Kanishka Rao Franccoise Beaufays FedML 70 313 0 11 Jun 2019
Tackling Climate Change with Machine Learning David Rolnick P. Donti L. Kaack K. Kochanski Alexandre Lacoste ... Demis Hassabis John C. Platt F. Creutzig J. Chayes Yoshua Bengio AI4Cl AI4CE 97 812 0 10 Jun 2019
The Architectural Implications of Facebook's DNN-based Personalized Recommendation Udit Gupta Carole-Jean Wu Xiaodong Wang Maxim Naumov Brandon Reagen ... Andrey Malevich Dheevatsa Mudigere M. Smelyanskiy Liang Xiong Xuan Zhang GNN 91 292 0 06 Jun 2019
Energy and Policy Considerations for Deep Learning in NLP Emma Strubell Ananya Ganesh Andrew McCallum 83 2,659 0 05 Jun 2019
Deep Learning Recommendation Model for Personalization and Recommendation Systems Maxim Naumov Dheevatsa Mudigere Hao-Jun Michael Shi Jianyu Huang Narayanan Sundaraman ... Wenlin Chen Vijay Rao Bill Jia Liang Xiong M. Smelyanskiy 93 741 0 31 May 2019
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization Thijs Vogels Sai Praneeth Karimireddy Martin Jaggi 99 322 0 31 May 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 182 18,224 0 28 May 2019
Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours Dimitrios Stamoulis Ruizhou Ding Di Wang Dimitrios Lymberopoulos B. Priyantha Jie Liu Diana Marculescu 68 285 0 05 Apr 2019
Salus: Fine-Grained GPU Sharing Primitives for Deep Learning Applications Peifeng Yu Mosharaf Chowdhury 57 72 0 12 Feb 2019
Towards Federated Learning at Scale: System Design Keith Bonawitz Hubert Eichner W. Grieskamp Dzmitry Huba A. Ingerman ... H. B. McMahan Timon Van Overveldt David Petrou Daniel Ramage Jason Roselander FedML 128 2,676 0 04 Feb 2019
Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads Myeongjae Jeon Shivaram Venkataraman Amar Phanishayee Junjie Qian Wencong Xiao Fan Yang GNN 80 354 0 17 Jan 2019
Applied Federated Learning: Improving Google Keyboard Query Suggestions Timothy Yang Galen Andrew Hubert Eichner Haicheng Sun Wei Li Nicholas Kong Daniel Ramage F. Beaufays FedML 101 626 0 07 Dec 2018
Federated Learning for Mobile Keyboard Prediction Andrew Straiton Hard Kanishka Rao Zhifeng Lin Swaroop Indra Ramaswamy Youjie Li S. Augenstein Alex Schwing M. Annavaram A. Avestimehr FedML 138 1,549 0 08 Nov 2018
Model Cards for Model Reporting Margaret Mitchell Simone Wu Andrew Zaldivar Parker Barnes Lucy Vasserman Ben Hutchinson Elena Spitzer Inioluwa Deborah Raji Timnit Gebru 144 1,910 0 05 Oct 2018
Designing Adaptive Neural Networks for Energy-Constrained Image Classification Dimitrios Stamoulis Ting-Wu Chin Anand P. Krishnan Haocheng Fang S. Sajja Mitchell Bognar Diana Marculescu 89 63 0 05 Aug 2018
Scaling Neural Machine Translation Myle Ott Sergey Edunov David Grangier Michael Auli AIMat 194 615 0 01 Jun 2018
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour Priya Goyal Piotr Dollár Ross B. Girshick P. Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He 3DH 128 3,688 0 08 Jun 2017
In-Datacenter Performance Analysis of a Tensor Processing Unit N. Jouppi C. Young Nishant Patil David Patterson Gaurav Agrawal ... Vijay Vasudevan Richard Walter Walter Wang Eric Wilcox Doe Hyun Yoon 239 4,648 0 16 Apr 2017
Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning Tien-Ju Yang Yu-hsin Chen Vivienne Sze 3DV 109 743 0 16 Nov 2016