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The application of deep learning techniques resulted in remarkable improvement of machine learning models.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Speech Dialogue Systems and Natural Language Processing
Holger Quast and Robert Bosch · 2004
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Matrix factorization techniques for recommender systems
Yehuda Koren, Robert Bell, and Chris Volinsky · 2009
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Roofline: an insightful visual performance model for multicore architectures
Samuel Williams, Andrew Waterman, and David Patterson · 2009
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Factorization Machines
Steffen Rendle · 2010
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Speech recognition with deep recurrent neural networks
Alex Graves, Abdel-rahman Mohamed, and Geoffrey Hinton · 2013
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Recurrent continuous translation models
Nal Kalchbrenner and Phil Blunsom · 2013
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014
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Learning phrase representations using RNN encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
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Practical lessons from predicting clicks on ads at facebook
Xinran He, Junfeng Pan, Ou Jin, Tianbing Xu, Bo Liu, Tao Xu, Yanxin Shi, Antoine Atallah, Ralf Herbrich, Stuart Bowers, and Joaquin Quiñonero Candela · 2014
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le · 2014
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High-performance hardware for machine learning
William Dally · 2015
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Faster R-CNN: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Autorec: Autoencoders meet collaborative filtering
Suvash Sedhain, Aditya Krishna Menon, Scott Sanner, and Lexing Xie · 2015
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Learning spatiotemporal features with 3d convolutional networks
Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, and Manohar Paluri · 2015
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Grammar as a foreign language
Oriol Vinyals, Łukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, and Geoffrey Hinton · 2015
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Deep neural networks for youtube recommendations
Paul Covington, Jay Adams, and Emre Sargin · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Google’s multilingual neural machine translation system: enabling zero-shot translation
Melvin Johnson, Mike Schuster, Quoc V Le, Maxim Krikun, Yonghui Wu, Zhifeng Chen, Nikhil Thorat, Fernanda Viégas, Martin Wattenberg, Greg Corrado, Macduff Hughes, and Jeffrey Dean · 2016
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Abstractive text summarization using sequence-to-sequence rnns and beyond
Ramesh Nallapati, Bowen Zhou, Caglar Gulcehre, and Bing Xiang · 2016
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XNOR-Net: Imagenet classification using binary convolutional neural networks
Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, and Ali Farhadi · 2016
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Edinburgh neural machine translation systems for WMT 16
Rico Sennrich, Barry Haddow, and Alexandra Birch · 2016
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Dorefa-net: Training low bitwidth convolutional neural networks with low bitwidth gradients
Shuchang Zhou, Yuxin Wu, Zekun Ni, Xinyu Zhou, He Wen, and Yuheng Zou · 2016
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Trends in data centre energy consumption under the european code of conduct for data centre energy efficiency
Maria Avgerinou, Paolo Bertoldi, and Luca Castellazzi · 2017
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Evaluating Natural Language Understanding Services for Conversational Question Answering Systems
Daniel Braun, Adrian Hernandez-Mendez, Florian Matthes, and Manfred Langen · 2017
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Learning structured natural language representations for semantic parsing
Jianpeng Cheng, Siva Reddy, Vijay Saraswat, and Mirella Lapata · 2017
Cited alongside, same era.
Aggregated residual transformations for deep neural networks
Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He · 2017
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ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin, and Jian Sun · 2017
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Snapea: Predictive early activation for reducing computation in deep convolutional neural networks
Vahideh Aklaghi, Amir Yazdanbakhsh, Kambiz Samadi, Hadi Esmaeilzadeh, and Rajesh K. Gupta · 2018
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AI and Compute
Dario Amodei and Danny Hernandez · 2018
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An empirical study of groupwise convolution for video classification networks
Anonymous · 2018
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Latent Cross: Making Use of Context in Recurrent Recommender Systems
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Controllable abstractive summarization
Angela Fan, David Grangier, and Michael Auli · 2017
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Tensor methods and recommender systems
Evgeny Frolov and Ivan Oseledets · 2017
Cited alongside, same era.
Convolutional sequence to sequence learning
Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann N Dauphin · 2017
Cited alongside, same era.
Accurate, large minibatch SGD: training imagenet in 1 hour
Priya Goyal, Piotr Dollár, Ross Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, and Kaiming He · 2017
Cited alongside, same era.
Non-autoregressive neural machine translation
Jiatao Gu, James Bradbury, Caiming Xiong, Victor OK Li, and Richard Socher · 2017
Cited alongside, same era.
Neural collaborative filtering
Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, and Tat-Seng Chua · 2017
Cited alongside, same era.
Mobilenets: Efficient convolutional neural networks for mobile vision applications
Andrew G Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, and Hartwig Adam · 2017
Cited alongside, same era.
Alex Beutel, Paul Covington, Sagar Jain, Can Xu, Jia Li, Vince Gatto, and Ed H Chi · 2018
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Rosetta: Large scale system for text detection and recognition in images
Fedor Borisyuk, Albert Gordo, and Viswanath Sivakumar · 2018
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TVM: end-to-end compilation stack for deep learning
Tianqi Chen, Thierry Moreau, Ziheng Jiang, Haichen Shen, Eddie Yan, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, and Arvind Krishnamurthy · 2018
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Bandana: Using non-volatile memory for storing deep learning models
Assaf Eisenman, Maxim Naumov, Darryl Gardner, Misha Smelyanskiy, Sergey Pupyrev, Kim Hazelwood, Asaf Cidon, and Sachin Katti · 2018
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A Configurable Cloud-Scale DNN Processor for Real-Time AI
Jeremy Fowers, Kalin Ovtcharov, Michael Papamichael, Todd Massengill, Ming Liu, Daniel Lo, Shlomi Alkalay, Michael Haselman, Logan Adams, Mahdi Ghandi Stephen Heil, Prerak Patel, Adam Sapek, Gabriel Weisz, Lisa Woods, Sitaram Lanka, Steven K. Reinhardt, Adrian M., Caulfield Eric, S. Chung, and Doug Burger · 2018
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Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective
Kim Hazelwood, Sarah Bird, David Brooks, Soumith Chintala, Utku Diril, Dmytro Dzhulgakov, Mohamed Fawzy, Bill Jia, Yangqing Jia, Aditya Kalro, James Law, Kevin Lee, Jason Lu, Pieter Noordhuis, Misha Smelyanskiy, Liang Xiong, and Xiaodong Wang · 2018
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Open-sourcing FBGEMM for state-of-the-art server-side inference
Daya Khudia, Protonu Basu, and Summer Deng · 2018
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Facebook GEMM library
Daya Khudia, Protonu Basu, Summer Deng, Jianyu Huang, Haixin Liu, Jongsoo Park, and Mikhail Smelyanskiy · 2018
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Quantizing deep convolutional networks for efficient inference: A whitepaper
Raghuraman Krishnamoorthi · 2018
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Exploring the limits of weakly supervised pretraining
Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, and Laurens van der Maaten · 2018
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Turing architecture whitepaper
NVIDIA · 2018
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An Energy-Efficient Neural Network Accelerator based on Outlier-Aware Low Precision Computation
Eunhyuk Park, Dongyoung Kim, and Sungjoo Yoo · 2018
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Glow: Graph lowering compiler techniques for neural networks
Nadav Rotem, Jordan Fix, Saleem Abdulrasool, Summer Deng, Roman Dzhabarov, James Hegeman, Roman Levenstein, Bert Maher, Satish Nadathur, Jakob Olesen, Jongsoo Park, Artem Rakhov, and Misha Smelyanskiy · 2018
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Benchmark Data Driven Co-design for Neural Network Applications
Fei Sun · 2018
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A Closer Look at Spatiotemporal Convolutions for Action Recognition
Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, and Manohar Paluri · 2018
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Tensor comprehensions: Framework-agnostic high-performance machine learning abstractions
Nicolas Vasilache, Oleksandr Zinenko, Theodoros Theodoridis, Priya Goyal, Zachary DeVito, William S Moses, Sven Verdoolaege, Andrew Adams, and Albert Cohen · 2018
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Deep interest network for click-through rate prediction
Guorui Zhou, Xiaoqiang Zhu, Chenru Song, Ying Fan, Han Zhu, Xiao Ma, Yanghui Yan, Junqi Jin, Han Li, and Kun Gai · 2018
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