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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 / 4,260 papers shown
Title
Deep Lake: a Lakehouse for Deep Learning
Deep Lake: a Lakehouse for Deep Learning
S. Hambardzumyan
Abhina Tuli
Levon Ghukasyan
Fariz Rahman
Hrant Topchyan
...
Mark McQuade
M. Harutyunyan
Tatevik Hakobyan
I. Stranic
Davit Buniatyan
90
21
0
22 Sep 2022
Nesting Forward Automatic Differentiation for Memory-Efficient Deep
  Neural Network Training
Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training
Cong Guo
Yuxian Qiu
Jingwen Leng
Chen Zhang
Yingdian Cao
Quan Zhang
Yunxin Liu
Fan Yang
Minyi Guo
AI4CE
97
4
0
22 Sep 2022
Deep Learning on Home Drone: Searching for the Optimal Architecture
Deep Learning on Home Drone: Searching for the Optimal Architecture
Alaa Maalouf
Yotam Gurfinkel
Barak Diker
O. Gal
Daniela Rus
Dan Feldman
69
5
0
21 Sep 2022
Streaming Encoding Algorithms for Scalable Hyperdimensional Computing
Streaming Encoding Algorithms for Scalable Hyperdimensional Computing
Anthony Thomas
Behnam Khaleghi
Gopi Krishna Jha
S. Dasgupta
N. Himayat
Ravi Iyer
Nilesh Jain
Tajana Rosing
91
6
0
20 Sep 2022
PolyMPCNet: Towards ReLU-free Neural Architecture Search in Two-party Computation Based Private Inference
Hongwu Peng
Shangli Zhou
Yukui Luo
Shijin Duan
Nuo Xu
...
Tong Geng
Ang Li
Wujie Wen
Xiaolin Xu
Caiwen Ding
83
4
0
20 Sep 2022
Statement-Level Vulnerability Detection: Learning Vulnerability Patterns
  Through Information Theory and Contrastive Learning
Statement-Level Vulnerability Detection: Learning Vulnerability Patterns Through Information Theory and Contrastive Learning
Van Nguyen
Trung Le
Chakkrit Tantithamthavorn
Michael Fu
John C. Grundy
Hung Nguyen
S. Çamtepe
Paul Quirk
Dinh Q. Phung
92
4
0
20 Sep 2022
Cross Project Software Vulnerability Detection via Domain Adaptation and
  Max-Margin Principle
Cross Project Software Vulnerability Detection via Domain Adaptation and Max-Margin Principle
Van Nguyen
Trung Le
Chakkrit Tantithamthavorn
John C. Grundy
Hung Nguyen
Dinh Q. Phung
72
4
0
19 Sep 2022
SAMP: A Model Inference Toolkit of Post-Training Quantization for Text
  Processing via Self-Adaptive Mixed-Precision
SAMP: A Model Inference Toolkit of Post-Training Quantization for Text Processing via Self-Adaptive Mixed-Precision
Rong Tian
Zijing Zhao
Weijie Liu
Haoyan Liu
Weiquan Mao
Zhe Zhao
Kimmo Yan
MQ
52
5
0
19 Sep 2022
Deep Metric Learning with Chance Constraints
Deep Metric Learning with Chance Constraints
Y. Z. Gürbüz
Ogul Can
A. Aydin Alatan
88
2
0
19 Sep 2022
Empirical Analysis on Top-k Gradient Sparsification for Distributed Deep
  Learning in a Supercomputing Environment
Empirical Analysis on Top-k Gradient Sparsification for Distributed Deep Learning in a Supercomputing Environment
Daegun Yoon
Sangyoon Oh
85
0
0
18 Sep 2022
Enhanced Fairness Testing via Generating Effective Initial Individual
  Discriminatory Instances
Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances
Minghua Ma
Zhao Tian
Max Hort
Federica Sarro
Hongyu Zhang
Qingwei Lin
Dongmei Zhang
55
5
0
17 Sep 2022
Belief Revision based Caption Re-ranker with Visual Semantic Information
Belief Revision based Caption Re-ranker with Visual Semantic Information
Ahmed Sabir
Francesc Moreno-Noguer
Pranava Madhyastha
Lluís Padró
BDL
69
2
0
16 Sep 2022
Dynamics-informed deconvolutional neural networks for super-resolution
  identification of regime changes in epidemiological time series
Dynamics-informed deconvolutional neural networks for super-resolution identification of regime changes in epidemiological time series
J. Vilar
L. Saiz
29
8
0
16 Sep 2022
Learning Pair Potentials using Differentiable Simulations
Learning Pair Potentials using Differentiable Simulations
Wujie Wang
Zhenghao Wu
Rafael Gómez-Bombarelli
86
26
0
16 Sep 2022
Distribution Aware Metrics for Conditional Natural Language Generation
Distribution Aware Metrics for Conditional Natural Language Generation
David M. Chan
Yiming Ni
David A. Ross
Sudheendra Vijayanarasimhan
Austin Myers
John F. Canny
79
4
0
15 Sep 2022
Efficiency Ordering of Stochastic Gradient Descent
Efficiency Ordering of Stochastic Gradient Descent
Jie Hu
Vishwaraj Doshi
Do Young Eun
78
7
0
15 Sep 2022
A Universally-Deployable ASR Frontend for Joint Acoustic Echo
  Cancellation, Speech Enhancement, and Voice Separation
A Universally-Deployable ASR Frontend for Joint Acoustic Echo Cancellation, Speech Enhancement, and Voice Separation
Tom O'Malley
A. Narayanan
Quan Wang
54
5
0
14 Sep 2022
FaceTopoNet: Facial Expression Recognition using Face Topology Learning
FaceTopoNet: Facial Expression Recognition using Face Topology Learning
Mojtaba Kolahdouzi
Alireza Sepas-Moghaddam
Ali Etemad
3DHCVBM
55
10
0
13 Sep 2022
Comparative analysis of segmentation and generative models for
  fingerprint retrieval task
Comparative analysis of segmentation and generative models for fingerprint retrieval task
Megha Patel
Devarsh Patel
Sarthak Patel
38
1
0
13 Sep 2022
Parallel MCMC Algorithms: Theoretical Foundations, Algorithm Design,
  Case Studies
Parallel MCMC Algorithms: Theoretical Foundations, Algorithm Design, Case Studies
N. Glatt-Holtz
Andrew J Holbrook
J. Krometis
Cecilia F. Mondaini
73
12
0
10 Sep 2022
LSDNet: Trainable Modification of LSD Algorithm for Real-Time Line
  Segment Detection
LSDNet: Trainable Modification of LSD Algorithm for Real-Time Line Segment Detection
L. Teplyakov
Leonid Erlygin
E. Shvets
80
16
0
10 Sep 2022
Kernel-Segregated Transpose Convolution Operation
Kernel-Segregated Transpose Convolution Operation
Vijay Srinivas Tida
Sai Venkatesh Chilukoti
X. Hei
Sonya Hsu
ViT
35
2
0
08 Sep 2022
Inverse modeling of nonisothermal multiphase poromechanics using
  physics-informed neural networks
Inverse modeling of nonisothermal multiphase poromechanics using physics-informed neural networks
Daniel Amini
E. Haghighat
R. Juanes
PINNAI4CE
68
36
0
07 Sep 2022
VulCurator: A Vulnerability-Fixing Commit Detector
VulCurator: A Vulnerability-Fixing Commit Detector
Truong-Giang Nguyen
Thanh Le-Cong
Hong Jin Kang
X. Le
David Lo
76
26
0
07 Sep 2022
Efficient Implementation of Non-linear Flow Law Using Neural Network
  into the Abaqus Explicit FEM code
Efficient Implementation of Non-linear Flow Law Using Neural Network into the Abaqus Explicit FEM code
Olivier Pantalé
Pierre Tize Mha
A. Tongne
21
12
0
07 Sep 2022
Neural Networks Optimized by Genetic Algorithms in Cosmology
Neural Networks Optimized by Genetic Algorithms in Cosmology
Isidro Gómez-Vargas
Joshua Briones Andrade
J. A. Vázquez
44
13
0
06 Sep 2022
How important are activation functions in regression and classification?
  A survey, performance comparison, and future directions
How important are activation functions in regression and classification? A survey, performance comparison, and future directions
Ameya Dilip Jagtap
George Karniadakis
AI4CE
135
75
0
06 Sep 2022
Utilizing Post-Hurricane Satellite Imagery to Identify Flooding Damage
  with Convolutional Neural Networks
Utilizing Post-Hurricane Satellite Imagery to Identify Flooding Damage with Convolutional Neural Networks
Jimmy Bao
20
0
0
05 Sep 2022
Robust machine learning segmentation for large-scale analysis of
  heterogeneous clinical brain MRI datasets
Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets
Benjamin Billot
C. Magdamo
You Cheng
S. Arnold
Sudeshna Das
Juan Eugenio Iglesias
90
108
0
05 Sep 2022
Low-Power Hardware-Based Deep-Learning Diagnostics Support Case Study
Low-Power Hardware-Based Deep-Learning Diagnostics Support Case Study
Khushal Sethi
V. Parmar
Manan Suri
41
14
0
03 Sep 2022
Machine learning for dynamically predicting the onset of renal
  replacement therapy in chronic kidney disease patients using claims data
Machine learning for dynamically predicting the onset of renal replacement therapy in chronic kidney disease patients using claims data
D. Martinez
Christina W. Chen
Ming-Jun Chen
OOD
34
2
0
03 Sep 2022
Neighborhood-aware Scalable Temporal Network Representation Learning
Neighborhood-aware Scalable Temporal Network Representation Learning
Yu Luo
Pan Li
GNNAI4TS
77
52
0
02 Sep 2022
Python Implementation of the Dynamic Distributed Dimensional Data Model
Python Implementation of the Dynamic Distributed Dimensional Data Model
Hayden Jananthan
Lauren Milechin
Michael Jones
William Arcand
William Bergeron
...
Albert Reuther
Antonio Rosa
S. Samsi
Charles Yee
J. Kepner
GP
36
2
0
01 Sep 2022
Generating Coherent Drum Accompaniment With Fills And Improvisations
Generating Coherent Drum Accompaniment With Fills And Improvisations
Rishabh A. Dahale
Vaibhav Talwadker
Preeti Rao
Prateek Verma
73
3
0
01 Sep 2022
The Infinitesimal Jackknife and Combinations of Models
The Infinitesimal Jackknife and Combinations of Models
Indrayudh Ghosal
Yunzhe Zhou
Giles Hooker
92
4
0
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ARMA Cell: A Modular and Effective Approach for Neural Autoregressive
  Modeling
ARMA Cell: A Modular and Effective Approach for Neural Autoregressive Modeling
Philipp Schiele
Christoph Berninger
David Rügamer
AI4TS
58
2
0
31 Aug 2022
pPython for Parallel Python Programming
pPython for Parallel Python Programming
Chansup Byun
William Arcand
David Bestor
Bill Bergeron
V. Gadepally
...
Albert Reuther
Antonio Rosa
S. Samsi
Charles Yee
J. Kepner
GP
19
4
0
31 Aug 2022
6IMPOSE: Bridging the Reality Gap in 6D Pose Estimation for Robotic
  Grasping
6IMPOSE: Bridging the Reality Gap in 6D Pose Estimation for Robotic Grasping
H. Cao
Lukas Dirnberger
Daniele Bernardini
C. Piazza
Marco Caccamo
83
11
0
30 Aug 2022
EasyScale: Accuracy-consistent Elastic Training for Deep Learning
EasyScale: Accuracy-consistent Elastic Training for Deep Learning
Mingzhen Li
Wencong Xiao
Biao Sun
Hanyu Zhao
Hailong Yang
...
Xianyan Jia
Yi Liu
Yong Li
Wei Lin
D. Qian
67
7
0
30 Aug 2022
A Deep Neural Networks ensemble workflow from hyperparameter search to
  inference leveraging GPU clusters
A Deep Neural Networks ensemble workflow from hyperparameter search to inference leveraging GPU clusters
Pierrick Pochelu
S. Petiton
B. Conche
AI4CE
69
3
0
30 Aug 2022
Reducing Impacts of System Heterogeneity in Federated Learning using
  Weight Update Magnitudes
Reducing Impacts of System Heterogeneity in Federated Learning using Weight Update Magnitudes
Irene Wang
85
1
0
30 Aug 2022
Data-driven soliton mappings for integrable fractional nonlinear wave
  equations via deep learning with Fourier neural operator
Data-driven soliton mappings for integrable fractional nonlinear wave equations via deep learning with Fourier neural operator
Ming Zhong
Zhenya Yan
41
17
0
29 Aug 2022
Affinity-Aware Resource Provisioning for Long-Running Applications in
  Shared Clusters
Affinity-Aware Resource Provisioning for Long-Running Applications in Shared Clusters
Clément Mommessin
Renyu Yang
N. V. Shakhlevich
Xiaoyang Sun
Shylendra Kumar
Junqing Xiao
Jie Xu
59
11
0
26 Aug 2022
Ab-initio quantum chemistry with neural-network wavefunctions
Ab-initio quantum chemistry with neural-network wavefunctions
J. Hermann
J. Spencer
Kenny Choo
Antonio Mezzacapo
W. Foulkes
David Pfau
Giuseppe Carleo
Frank Noé
AI4CE
83
86
0
26 Aug 2022
Time-to-Green predictions for fully-actuated signal control systems with
  supervised learning
Time-to-Green predictions for fully-actuated signal control systems with supervised learning
Alexander Genser
M. Makridis
Kaidi Yang
Lukas Ambühl
M. Menéndez
Anastasios Kouvelas
28
7
0
24 Aug 2022
TESTSGD: Interpretable Testing of Neural Networks Against Subtle Group
  Discrimination
TESTSGD: Interpretable Testing of Neural Networks Against Subtle Group Discrimination
Mengdi Zhang
Jun Sun
Jingyi Wang
Bing-Jie Sun
69
15
0
24 Aug 2022
Evolutionary Quantum Architecture Search for Parametrized Quantum
  Circuits
Evolutionary Quantum Architecture Search for Parametrized Quantum Circuits
Lidong Ding
Lee Spector
82
16
0
23 Aug 2022
Multi-domain Learning for Updating Face Anti-spoofing Models
Multi-domain Learning for Updating Face Anti-spoofing Models
Xiao Guo
Yaojie Liu
Anil Jain
Xiaoming Liu
CLLCVBM
92
31
0
23 Aug 2022
Reduced-PINN: An Integration-Based Physics-Informed Neural Networks for
  Stiff ODEs
Reduced-PINN: An Integration-Based Physics-Informed Neural Networks for Stiff ODEs
P. Nasiri
R. Dargazany
PINN
40
2
0
23 Aug 2022
Time-lapse image classification using a diffractive neural network
Time-lapse image classification using a diffractive neural network
Md. Sadman Sakib Rahman
Aydogan Ozcan
62
16
0
23 Aug 2022
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