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TensorFlow: A system for large-scale machine learning
v1v2 (latest)

TensorFlow: A system for large-scale machine learning

27 May 2016
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
J. Dean
M. Devin
Sanjay Ghemawat
G. Irving
Michael Isard
M. Kudlur
J. Levenberg
R. Monga
Sherry Moore
D. Murray
Benoit Steiner
P. Tucker
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
    GNNAI4CE
ArXiv (abs)PDFHTML

Papers citing "TensorFlow: A system for large-scale machine learning"

50 / 4,253 papers shown
Title
Masked Gradient-Based Causal Structure Learning
Masked Gradient-Based Causal Structure Learning
Ignavier Ng
Shengyu Zhu
Zhuangyan Fang
Haoyang Li
Zhitang Chen
Jun Wang
CML
154
117
0
18 Oct 2019
Unsupervised Multi-Task Feature Learning on Point Clouds
Unsupervised Multi-Task Feature Learning on Point Clouds
Kaveh Hassani
Mike Haley
SSL3DPC
175
196
0
18 Oct 2019
Root Mean Square Layer Normalization
Root Mean Square Layer Normalization
Biao Zhang
Rico Sennrich
125
767
0
16 Oct 2019
Deep Reinforcement Learning meets Graph Neural Networks: exploring a
  routing optimization use case
Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case
Paul Almasan
J. Suárez-Varela
Krzysztof Rusek
Pere Barlet-Ros
A. Cabellos-Aparicio
GNNAI4CE
123
191
0
16 Oct 2019
AI Benchmark: All About Deep Learning on Smartphones in 2019
AI Benchmark: All About Deep Learning on Smartphones in 2019
Andrey D. Ignatov
Radu Timofte
Andrei Kulik
Seungsoo Yang
Ke Wang
Felix Baum
Max Wu
Lirong Xu
Luc Van Gool
ELM
53
222
0
15 Oct 2019
TCD-NPE: A Re-configurable and Efficient Neural Processing Engine,
  Powered by Novel Temporal-Carry-deferring MACs
TCD-NPE: A Re-configurable and Efficient Neural Processing Engine, Powered by Novel Temporal-Carry-deferring MACs
Ali Mirzaeian
Houman Homayoun
Avesta Sasan
BDL
36
10
0
14 Oct 2019
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
Maximilian Balandat
Brian Karrer
Daniel R. Jiang
Sam Daulton
Benjamin Letham
A. Wilson
E. Bakshy
75
93
0
14 Oct 2019
Characterizing Deep Learning Training Workloads on Alibaba-PAI
Characterizing Deep Learning Training Workloads on Alibaba-PAI
Mengdi Wang
Chen Meng
Guoping Long
Chuan Wu
Jun Yang
Wei Lin
Yangqing Jia
73
56
0
14 Oct 2019
DeepACEv2: Automated Chromosome Enumeration in Metaphase Cell Images
  Using Deep Convolutional Neural Networks
DeepACEv2: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks
Li Xiao
Chunlong Luo
Tianqi Yu
Yufan Luo
Manqing Wang
Fuhai Yu
Yinhao Li
Chan Tian
Jie Qiao
47
5
0
12 Oct 2019
Demon: Improved Neural Network Training with Momentum Decay
Demon: Improved Neural Network Training with Momentum Decay
John Chen
Cameron R. Wolfe
Zhaoqi Li
Anastasios Kyrillidis
ODL
106
15
0
11 Oct 2019
Blink: Fast and Generic Collectives for Distributed ML
Blink: Fast and Generic Collectives for Distributed ML
Guanhua Wang
Shivaram Venkataraman
Amar Phanishayee
J. Thelin
Nikhil R. Devanur
Ion Stoica
VLM
65
142
0
11 Oct 2019
Solving Optical Tomography with Deep Learning
Solving Optical Tomography with Deep Learning
Yuwei Fan
Lexing Ying
59
17
0
10 Oct 2019
Backpropagation Algorithms and Reservoir Computing in Recurrent Neural
  Networks for the Forecasting of Complex Spatiotemporal Dynamics
Backpropagation Algorithms and Reservoir Computing in Recurrent Neural Networks for the Forecasting of Complex Spatiotemporal Dynamics
Pantelis R. Vlachas
Jaideep Pathak
Brian R. Hunt
T. Sapsis
M. Girvan
Edward Ott
Petros Koumoutsakos
AI4TS
94
400
0
09 Oct 2019
QPyTorch: A Low-Precision Arithmetic Simulation Framework
QPyTorch: A Low-Precision Arithmetic Simulation Framework
Tianyi Zhang
Zhiqiu Lin
Guandao Yang
Christopher De Sa
MQ
69
66
0
09 Oct 2019
Learned Critical Probabilistic Roadmaps for Robotic Motion Planning
Learned Critical Probabilistic Roadmaps for Robotic Motion Planning
Brian Ichter
Edward Schmerling
T. Lee
Aleksandra Faust
52
71
0
08 Oct 2019
Riemannian Motion Policy Fusion through Learnable Lyapunov Function
  Reshaping
Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping
Mustafa Mukadam
Ching-An Cheng
Dieter Fox
Byron Boots
Nathan D. Ratliff
73
23
0
07 Oct 2019
Compositional Generalization for Primitive Substitutions
Compositional Generalization for Primitive Substitutions
Yuanpeng Li
Liang Zhao
Jianyu Wang
Joel Hestness
72
87
0
07 Oct 2019
Distributed-Memory Tensor Completion for Generalized Loss Functions in
  Python using New Sparse Tensor Kernels
Distributed-Memory Tensor Completion for Generalized Loss Functions in Python using New Sparse Tensor Kernels
Navjot Singh
Zecheng Zhang
Xiaoxia Wu
Naijing Zhang
Siyuan Zhang
Edgar Solomonik
51
15
0
06 Oct 2019
Making sense of sensory input
Making sense of sensory input
Maciej Wołczyk
Jacek Tabor
Johannes Welbl
Szymon Maszke
Marek Sergot
92
53
0
05 Oct 2019
Distributed Learning of Deep Neural Networks using Independent Subnet
  Training
Distributed Learning of Deep Neural Networks using Independent Subnet Training
John Shelton Hyatt
Cameron R. Wolfe
Michael Lee
Yuxin Tang
Anastasios Kyrillidis
Christopher M. Jermaine
OOD
92
39
0
04 Oct 2019
Semi-Supervised Generative Modeling for Controllable Speech Synthesis
Semi-Supervised Generative Modeling for Controllable Speech Synthesis
Raza Habib
Soroosh Mariooryad
Matt Shannon
Eric Battenberg
RJ Skerry-Ryan
Daisy Stanton
David Kao
Tom Bagby
BDL
68
48
0
03 Oct 2019
High-dimensional Dense Residual Convolutional Neural Network for Light
  Field Reconstruction
High-dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction
Nan Meng
Yung-Sung Chuang
Shang-Yu Su
Yun-Nung Chen
41
116
0
03 Oct 2019
Relationship Explainable Multi-objective Optimization Via Vector Value
  Function Based Reinforcement Learning
Relationship Explainable Multi-objective Optimization Via Vector Value Function Based Reinforcement Learning
Huixin Zhan
Yongcan Cao
66
7
0
02 Oct 2019
MLPerf Training Benchmark
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
124
316
0
02 Oct 2019
CNN-based Semantic Segmentation using Level Set Loss
CNN-based Semantic Segmentation using Level Set Loss
Youngeun Kim
Seunghyeon Kim
Taekyung Kim
Changick Kim
SSeg
133
58
0
02 Oct 2019
A Robust Transferable Deep Learning Framework for Cross-sectional
  Investment Strategy
A Robust Transferable Deep Learning Framework for Cross-sectional Investment Strategy
Kei Nakagawa
Masaya Abe
Junpei Komiyama
OODAIFin
70
20
0
02 Oct 2019
NESTA: Hamming Weight Compression-Based Neural Proc. Engine
NESTA: Hamming Weight Compression-Based Neural Proc. Engine
Ali Mirzaeian
Houman Homayoun
Avesta Sasan
34
11
0
01 Oct 2019
Domain Expansion in DNN-based Acoustic Models for Robust Speech
  Recognition
Domain Expansion in DNN-based Acoustic Models for Robust Speech Recognition
Shahram Ghorbani
S. Khorram
John H. L. Hansen
51
19
0
01 Oct 2019
DiffTaichi: Differentiable Programming for Physical Simulation
DiffTaichi: Differentiable Programming for Physical Simulation
Yuanming Hu
Luke Anderson
Tzu-Mao Li
Qi Sun
N. Carr
Jonathan Ragan-Kelley
F. Durand
88
388
0
01 Oct 2019
NGEMM: Optimizing GEMM for Deep Learning via Compiler-based Techniques
NGEMM: Optimizing GEMM for Deep Learning via Compiler-based Techniques
Yiyuan Ma
Li-Wen Chang
Yang Chen
Kefeng Deng
Amit Agarwal
Emad Barsoum
Abe Taha
MQ
37
7
0
01 Oct 2019
MIOpen: An Open Source Library For Deep Learning Primitives
MIOpen: An Open Source Library For Deep Learning Primitives
Jehandad Khan
Paul Fultz
Artem Tamazov
Daniel Lowell
Chao-Jung Liu
...
Vasilii Filippov
Jing Zhang
Jing Zhou
Bragadeesh Natarajan
Mayank Daga
VLMMoE
50
40
0
30 Sep 2019
Synthesizing Action Sequences for Modifying Model Decisions
Synthesizing Action Sequences for Modifying Model Decisions
Goutham Ramakrishnan
Yun Chan Lee
Aws Albarghouthi
121
33
0
30 Sep 2019
RLCache: Automated Cache Management Using Reinforcement Learning
RLCache: Automated Cache Management Using Reinforcement Learning
Sami Alabed
43
4
0
30 Sep 2019
Acoustic Model Adaptation from Raw Waveforms with SincNet
Acoustic Model Adaptation from Raw Waveforms with SincNet
Joachim Fainberg
Ondˇrej Klejch
Erfan Loweimi
P. Bell
Steve Renals
35
14
0
30 Sep 2019
SteReFo: Efficient Image Refocusing with Stereo Vision
SteReFo: Efficient Image Refocusing with Stereo Vision
Benjamin Busam
Matthieu Hog
Jingyu Sun
Greg Slabaugh
VGenMDE
64
35
0
29 Sep 2019
End-to-End Deep Convolutional Active Contours for Image Segmentation
End-to-End Deep Convolutional Active Contours for Image Segmentation
Ali Hatamizadeh
Debleena Sengupta
Demetri Terzopoulos
68
22
0
29 Sep 2019
SURREAL-System: Fully-Integrated Stack for Distributed Deep
  Reinforcement Learning
SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning
Linxi Fan
Yuke Zhu
Jiren Zhu
Zihua Liu
Orien Zeng
Anchit Gupta
Joan Creus-Costa
Silvio Savarese
Li Fei-Fei
OffRLGNN
89
3
0
27 Sep 2019
Backpropagation in the Simply Typed Lambda-calculus with Linear Negation
Backpropagation in the Simply Typed Lambda-calculus with Linear Negation
Aloïs Brunel
Damiano Mazza
Michele Pagani
76
46
0
27 Sep 2019
Realtime Simulation of Thin-Shell Deformable Materials using CNN-Based
  Mesh Embedding
Realtime Simulation of Thin-Shell Deformable Materials using CNN-Based Mesh Embedding
Qingyang Tan
Zherong Pan
Lin Gao
Tianyi Zhou
AI4CE
73
23
0
26 Sep 2019
Relationship Explainable Multi-objective Reinforcement Learning with
  Semantic Explainability Generation
Relationship Explainable Multi-objective Reinforcement Learning with Semantic Explainability Generation
Huixin Zhan
Yongcan Cao
61
2
0
26 Sep 2019
Overlapping Community Detection with Graph Neural Networks
Overlapping Community Detection with Graph Neural Networks
Oleksandr Shchur
Stephan Günnemann
GNN
75
133
0
26 Sep 2019
Scaling data-driven robotics with reward sketching and batch
  reinforcement learning
Scaling data-driven robotics with reward sketching and batch reinforcement learning
Serkan Cabi
Sergio Gomez Colmenarejo
Alexander Novikov
Ksenia Konyushkova
Scott E. Reed
...
David Barker
Jonathan Scholz
Misha Denil
Nando de Freitas
Ziyun Wang
OffRL
114
29
0
26 Sep 2019
Serving Recurrent Neural Networks Efficiently with a Spatial Accelerator
Serving Recurrent Neural Networks Efficiently with a Spatial Accelerator
Tian Zhao
Yaqi Zhang
K. Olukotun
66
16
0
26 Sep 2019
Adversarial Deep Embedded Clustering: on a better trade-off between
  Feature Randomness and Feature Drift
Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature Drift
Nairouz Mrabah
Mohamed Bouguessa
Riadh Ksantini
OOD
62
54
0
26 Sep 2019
Deep Learning for RF Signal Classification in Unknown and Dynamic
  Spectrum Environments
Deep Learning for RF Signal Classification in Unknown and Dynamic Spectrum Environments
Yi Shi
Kemal Davaslioglu
Y. Sagduyu
William C. Headley
Michael Fowler
Gilbert Green
59
93
0
25 Sep 2019
MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training
  Unit
MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit
John Palowitch
Bryan Perozzi
76
20
0
25 Sep 2019
Deep Neural Network Framework Based on Backward Stochastic Differential
  Equations for Pricing and Hedging American Options in High Dimensions
Deep Neural Network Framework Based on Backward Stochastic Differential Equations for Pricing and Hedging American Options in High Dimensions
Yangang Chen
J. Wan
60
62
0
25 Sep 2019
Gated Channel Transformation for Visual Recognition
Gated Channel Transformation for Visual Recognition
Zongxin Yang
Linchao Zhu
Yu Wu
Yezhou Yang
ViT
60
211
0
25 Sep 2019
Pretraining boosts out-of-domain robustness for pose estimation
Pretraining boosts out-of-domain robustness for pose estimation
Alexander Mathis
Thomas Biasi
Steffen Schneider
Mert Yüksekgönül
Byron Rogers
Matthias Bethge
Mackenzie W. Mathis
OOD
109
126
0
24 Sep 2019
Exascale Deep Learning for Scientific Inverse Problems
Exascale Deep Learning for Scientific Inverse Problems
N. Laanait
Josh Romero
Junqi Yin
M. T. Young
Sean Treichler
V. Starchenko
A. Borisevich
Alexander Sergeev
Michael A. Matheson
FedMLBDL
68
29
0
24 Sep 2019
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