ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1605.08695
  4. Cited By
TensorFlow: A system for large-scale machine learning

TensorFlow: A system for large-scale machine learning

27 May 2016
Martín Abadi
P. Barham
Jianmin Chen
Zhehuai 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
    GNN
    AI4CE
ArXivPDFHTML

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

50 / 3,499 papers shown
Title
Decoupled Novel Object Captioner
Decoupled Novel Object Captioner
Yuehua Wu
Linchao Zhu
Lu Jiang
Yi Yang
18
62
0
11 Apr 2018
DeepMarks: A Digital Fingerprinting Framework for Deep Neural Networks
DeepMarks: A Digital Fingerprinting Framework for Deep Neural Networks
Huili Chen
B. Rouhani
F. Koushanfar
FedML
27
61
0
10 Apr 2018
QA4IE: A Question Answering based Framework for Information Extraction
QA4IE: A Question Answering based Framework for Information Extraction
Lin Qiu
Hao Zhou
Yanru Qu
Weinan Zhang
Suoheng Li
Shunlin Rong
Dongyu Ru
Lihua Qian
Kewei Tu
Yong Yu
21
19
0
10 Apr 2018
Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning
  and A New Benchmark for Multi-Human Parsing
Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing
Jian-jun Zhao
Jianshu Li
Yu Cheng
Li Zhou
Terence Sim
Shuicheng Yan
Jiashi Feng
16
173
0
10 Apr 2018
Ordinal Pooling Networks: For Preserving Information over Shrinking
  Feature Maps
Ordinal Pooling Networks: For Preserving Information over Shrinking Feature Maps
Ashwani Kumar
FAtt
19
8
0
08 Apr 2018
POL-LWIR Vehicle Detection: Convolutional Neural Networks Meet Polarised
  Infrared Sensors
POL-LWIR Vehicle Detection: Convolutional Neural Networks Meet Polarised Infrared Sensors
Marcel Sheeny
Andrew M. Wallace
Mehryar Emambakhsh
Sen Wang
B. Connor
25
17
0
07 Apr 2018
DeepSigns: A Generic Watermarking Framework for IP Protection of Deep
  Learning Models
DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models
B. Rouhani
Huili Chen
F. Koushanfar
43
48
0
02 Apr 2018
Universal Sentence Encoder
Universal Sentence Encoder
Daniel Cer
Yinfei Yang
Sheng-yi Kong
Nan Hua
Nicole Limtiaco
...
Steve Yuan
Chris Tar
Yun-hsuan Sung
B. Strope
R. Kurzweil
38
1,891
0
29 Mar 2018
Diagonalwise Refactorization: An Efficient Training Method for Depthwise
  Convolutions
Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions
Zheng Qin
Zhaoning Zhang
Dongsheng Li
Yiming Zhang
Yuxing Peng
25
28
0
27 Mar 2018
Transferable Joint Attribute-Identity Deep Learning for Unsupervised
  Person Re-Identification
Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification
Jingya Wang
Xiatian Zhu
S. Gong
Wei Li
36
569
0
26 Mar 2018
Learning to Reweight Examples for Robust Deep Learning
Learning to Reweight Examples for Robust Deep Learning
Mengye Ren
Wenyuan Zeng
Binh Yang
R. Urtasun
OOD
NoLa
69
1,412
0
24 Mar 2018
An improved DNN-based spectral feature mapping that removes noise and
  reverberation for robust automatic speech recognition
An improved DNN-based spectral feature mapping that removes noise and reverberation for robust automatic speech recognition
J. Escudero
José Novoa
R. Mahú
J. Wuth
F. Huenupán
R. Stern
N. B. Yoma
14
1
0
23 Mar 2018
A Deep Error Correction Network for Compressed Sensing MRI
A Deep Error Correction Network for Compressed Sensing MRI
Liyan Sun
Zhiwen Fan
Yue Huang
Xinghao Ding
John Paisley
MedIm
39
12
0
23 Mar 2018
Guided Image Inpainting: Replacing an Image Region by Pulling Content
  from Another Image
Guided Image Inpainting: Replacing an Image Region by Pulling Content from Another Image
Yinan Zhao
Brian L. Price
Scott D. Cohen
Danna Gurari
GAN
19
40
0
22 Mar 2018
Extended depth-of-field in holographic image reconstruction using deep
  learning based auto-focusing and phase-recovery
Extended depth-of-field in holographic image reconstruction using deep learning based auto-focusing and phase-recovery
Yichen Wu
Y. Rivenson
Yibo Zhang
Zhensong Wei
H. Gunaydin
Xing Lin
Aydogan Ozcan
14
171
0
21 Mar 2018
Eigendecomposition-free Training of Deep Networks with Zero
  Eigenvalue-based Losses
Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses
Zheng Dang
K. M. Yi
Yinlin Hu
Fei Wang
Pascal Fua
Mathieu Salzmann
29
48
0
21 Mar 2018
The Three Pillars of Machine Programming
The Three Pillars of Machine Programming
Justin Emile Gottschlich
Armando Solar-Lezama
Nesime Tatbul
Michael Carbin
Martin Rinard
Regina Barzilay
Saman P. Amarasinghe
J. Tenenbaum
Tim Mattson
27
62
0
20 Mar 2018
D$^2$: Decentralized Training over Decentralized Data
D2^22: Decentralized Training over Decentralized Data
Hanlin Tang
Xiangru Lian
Ming Yan
Ce Zhang
Ji Liu
20
348
0
19 Mar 2018
Live Target Detection with Deep Learning Neural Network and Unmanned
  Aerial Vehicle on Android Mobile Device
Live Target Detection with Deep Learning Neural Network and Unmanned Aerial Vehicle on Android Mobile Device
A. Anar
E. Bostanci
M. Güzel
11
4
0
19 Mar 2018
Tensor2Tensor for Neural Machine Translation
Tensor2Tensor for Neural Machine Translation
Ashish Vaswani
Samy Bengio
E. Brevdo
François Chollet
Aidan Gomez
...
Nal Kalchbrenner
Niki Parmar
Ryan Sepassi
Noam M. Shazeer
Jakob Uszkoreit
60
528
0
16 Mar 2018
Serverless Data Analytics with Flint
Serverless Data Analytics with Flint
Youngbin Kim
Jimmy J. Lin
27
77
0
16 Mar 2018
TBD: Benchmarking and Analyzing Deep Neural Network Training
TBD: Benchmarking and Analyzing Deep Neural Network Training
Hongyu Zhu
Mohamed Akrout
Bojian Zheng
Andrew Pelegris
Amar Phanishayee
Bianca Schroeder
Gennady Pekhimenko
31
80
0
16 Mar 2018
Large Margin Deep Networks for Classification
Large Margin Deep Networks for Classification
Gamaleldin F. Elsayed
Dilip Krishnan
H. Mobahi
Kevin Regan
Samy Bengio
MQ
22
281
0
15 Mar 2018
Real-time Cardiovascular MR with Spatio-temporal Artifact Suppression
  using Deep Learning - Proof of Concept in Congenital Heart Disease
Real-time Cardiovascular MR with Spatio-temporal Artifact Suppression using Deep Learning - Proof of Concept in Congenital Heart Disease
A. Hauptmann
Simon Arridge
F. Lucka
V. Muthurangu
J. Steeden
25
180
0
14 Mar 2018
Compact Convolutional Neural Networks for Classification of Asynchronous
  Steady-state Visual Evoked Potentials
Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials
Nicholas R. Waytowich
Vernon J. Lawhern
J. Garcia
J. Cummings
J. Faller
P. Sajda
J. Vettel
22
180
0
12 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey
Deep Learning in Mobile and Wireless Networking: A Survey
Chaoyun Zhang
P. Patras
Hamed Haddadi
50
1,306
0
12 Mar 2018
Solving Fourier ptychographic imaging problems via neural network
  modeling and TensorFlow
Solving Fourier ptychographic imaging problems via neural network modeling and TensorFlow
Shaowei Jiang
K. Guo
Jun Liao
G. Zheng
18
95
0
09 Mar 2018
A Multi-Objective Deep Reinforcement Learning Framework
A Multi-Objective Deep Reinforcement Learning Framework
Thanh Thi Nguyen
Ngoc Duy Nguyen
Peter Vamplew
Saeid Nahavandi
Richard Dazeley
Chee Peng Lim
OffRL
15
108
0
08 Mar 2018
AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation
AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation
Jogendra Nath Kundu
P. Uppala
Anuj Pahuja
R. Venkatesh Babu
MDE
26
185
0
05 Mar 2018
Accelerating Natural Gradient with Higher-Order Invariance
Accelerating Natural Gradient with Higher-Order Invariance
Yang Song
Jiaming Song
Stefano Ermon
26
21
0
04 Mar 2018
Escoin: Efficient Sparse Convolutional Neural Network Inference on GPUs
Escoin: Efficient Sparse Convolutional Neural Network Inference on GPUs
Xuhao Chen
18
25
0
28 Feb 2018
Generalized Byzantine-tolerant SGD
Generalized Byzantine-tolerant SGD
Cong Xie
Oluwasanmi Koyejo
Indranil Gupta
AAML
19
254
0
27 Feb 2018
Shampoo: Preconditioned Stochastic Tensor Optimization
Shampoo: Preconditioned Stochastic Tensor Optimization
Vineet Gupta
Tomer Koren
Y. Singer
ODL
22
201
0
26 Feb 2018
Wide Compression: Tensor Ring Nets
Wide Compression: Tensor Ring Nets
Wenqi Wang
Yifan Sun
Brian Eriksson
Wenlin Wang
Vaneet Aggarwal
13
168
0
25 Feb 2018
Asynchronous Stochastic Proximal Methods for Nonconvex Nonsmooth
  Optimization
Asynchronous Stochastic Proximal Methods for Nonconvex Nonsmooth Optimization
Rui Zhu
Di Niu
Zongpeng Li
16
4
0
24 Feb 2018
Stochastic Gradient Descent on Highly-Parallel Architectures
Stochastic Gradient Descent on Highly-Parallel Architectures
Yujing Ma
Florin Rusu
Martin Torres
27
6
0
24 Feb 2018
Harmonious Attention Network for Person Re-Identification
Harmonious Attention Network for Person Re-Identification
Wei Li
Xiatian Zhu
S. Gong
21
1,342
0
22 Feb 2018
SparCML: High-Performance Sparse Communication for Machine Learning
SparCML: High-Performance Sparse Communication for Machine Learning
Cédric Renggli
Saleh Ashkboos
Mehdi Aghagolzadeh
Dan Alistarh
Torsten Hoefler
29
126
0
22 Feb 2018
Federated Meta-Learning with Fast Convergence and Efficient
  Communication
Federated Meta-Learning with Fast Convergence and Efficient Communication
Fei Chen
Mi Luo
Zhenhua Dong
Zhenguo Li
Xiuqiang He
FedML
34
388
0
22 Feb 2018
3LC: Lightweight and Effective Traffic Compression for Distributed
  Machine Learning
3LC: Lightweight and Effective Traffic Compression for Distributed Machine Learning
Hyeontaek Lim
D. Andersen
M. Kaminsky
21
70
0
21 Feb 2018
Horovod: fast and easy distributed deep learning in TensorFlow
Horovod: fast and easy distributed deep learning in TensorFlow
Alexander Sergeev
Mike Del Balso
22
1,214
0
15 Feb 2018
MemeSequencer: Sparse Matching for Embedding Image Macros
MemeSequencer: Sparse Matching for Embedding Image Macros
Abhimanyu Dubey
Esteban Moro Egido
Manuel Cebrian
Iyad Rahwan
37
35
0
14 Feb 2018
Exploring Hidden Dimensions in Parallelizing Convolutional Neural
  Networks
Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks
Zhihao Jia
Sina Lin
C. Qi
A. Aiken
37
117
0
14 Feb 2018
SLAQ: Quality-Driven Scheduling for Distributed Machine Learning
SLAQ: Quality-Driven Scheduling for Distributed Machine Learning
Haoyu Zhang
Logan Stafman
Andrew Or
M. Freedman
38
140
0
13 Feb 2018
Tensor Comprehensions: Framework-Agnostic High-Performance Machine
  Learning Abstractions
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
Nicolas Vasilache
O. Zinenko
Theodoros Theodoridis
Priya Goyal
Zach DeVito
William S. Moses
Sven Verdoolaege
Andrew Adams
Albert Cohen
40
432
0
13 Feb 2018
Training and Inference with Integers in Deep Neural Networks
Training and Inference with Integers in Deep Neural Networks
Shuang Wu
Guoqi Li
F. Chen
Luping Shi
MQ
41
389
0
13 Feb 2018
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks
  by Backdooring
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring
Yossi Adi
Carsten Baum
Moustapha Cissé
Benny Pinkas
Joseph Keshet
20
669
0
13 Feb 2018
Texygen: A Benchmarking Platform for Text Generation Models
Texygen: A Benchmarking Platform for Text Generation Models
Yaoming Zhu
Sidi Lu
Lei Zheng
Jiaxian Guo
Weinan Zhang
Jun Wang
Yong Yu
50
665
0
06 Feb 2018
Interpretable Deep Convolutional Neural Networks via Meta-learning
Interpretable Deep Convolutional Neural Networks via Meta-learning
Xuan Liu
Xiaoguang Wang
Stan Matwin
FaML
27
38
0
02 Feb 2018
Full Image Recover for Block-Based Compressive Sensing
Full Image Recover for Block-Based Compressive Sensing
Xuemei Xie
Chenye Wang
Jiang Du
Guangming Shi
38
16
0
01 Feb 2018
Previous
123...67686970
Next