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
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 / 4,258 papers shown
Title
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
PolSAR Image Classification Based on Dilated Convolution and
  Pixel-Refining Parallel Mapping network in the Complex Domain
PolSAR Image Classification Based on Dilated Convolution and Pixel-Refining Parallel Mapping network in the Complex Domain
Dongling Xiao
Chang Liu
Liu Chang
Chao Wang
Xin Zhang
32
9
0
24 Sep 2019
Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with
  Contextualized Embeddings
Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings
Gregor Wiedemann
Steffen Remus
Avi Chawla
Chris Biemann
113
176
0
23 Sep 2019
Speech Replay Detection with x-Vector Attack Embeddings and Spectral
  Features
Speech Replay Detection with x-Vector Attack Embeddings and Spectral Features
Jennifer Williams
Joanna Rownicka
89
20
0
23 Sep 2019
Conservative set valued fields, automatic differentiation, stochastic
  gradient method and deep learning
Conservative set valued fields, automatic differentiation, stochastic gradient method and deep learning
Jérôme Bolte
Edouard Pauwels
104
129
0
23 Sep 2019
Recurrent Neural Network-based Model for Accelerated Trajectory Analysis
  in AIMD Simulations
Recurrent Neural Network-based Model for Accelerated Trajectory Analysis in AIMD Simulations
M. Eslamibidgoli
Mehrdad Mokhtari
M. Eikerling
61
13
0
23 Sep 2019
Multi-task Learning and Catastrophic Forgetting in Continual
  Reinforcement Learning
Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement Learning
Joao G. Ribeiro
Francisco S. Melo
João Dias
CLL
56
12
0
22 Sep 2019
Underwater Image Super-Resolution using Deep Residual Multipliers
Underwater Image Super-Resolution using Deep Residual Multipliers
M. Islam
Sadman Sakib Enan
Peigen Luo
Junaed Sattar
67
67
0
20 Sep 2019
Genetic Neural Architecture Search for automatic assessment of human
  sperm images
Genetic Neural Architecture Search for automatic assessment of human sperm images
Erfan Miahi
Seyed Abolghasem Mirroshandel
Alexis Nasr
75
29
0
20 Sep 2019
Deep Metric Learning using Similarities from Nonlinear Rank
  Approximations
Deep Metric Learning using Similarities from Nonlinear Rank Approximations
Konstantin Schall
Kai Uwe Barthel
Nico Hezel
Klaus Jung
DML
25
3
0
20 Sep 2019
Deep Aggregation of Regional Convolutional Activations for Content Based
  Image Retrieval
Deep Aggregation of Regional Convolutional Activations for Content Based Image Retrieval
Konstantin Schall
Kai Uwe Barthel
Nico Hezel
Klaus Jung
30
5
0
20 Sep 2019
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
Huan Lei
Naveed Akhtar
Ajmal Mian
3DPC
93
168
0
20 Sep 2019
MACS: Deep Reinforcement Learning based SDN Controller Synchronization
  Policy Design
MACS: Deep Reinforcement Learning based SDN Controller Synchronization Policy Design
Ziyao Zhang
Liang Ma
Konstantinos Poularakis
K. Leung
J. Tucker
A. Swami
34
14
0
19 Sep 2019
Deep Contextualized Pairwise Semantic Similarity for Arabic Language
  Questions
Deep Contextualized Pairwise Semantic Similarity for Arabic Language Questions
Hesham Al-Bataineh
Wael Farhan
Ahmad Mustafa
Haitham Seelawi
Hussein T. Al-Natsheh
69
16
0
19 Sep 2019
How to Write Summaries with Patterns? Learning towards Abstractive
  Summarization through Prototype Editing
How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing
Shen Gao
Preslav Nakov
Piji Li
Zhangming Chan
Dongyan Zhao
Rui Yan
74
30
0
19 Sep 2019
Balsam: Automated Scheduling and Execution of Dynamic, Data-Intensive
  HPC Workflows
Balsam: Automated Scheduling and Execution of Dynamic, Data-Intensive HPC Workflows
Michael A. Salim
T. Uram
J. T. Childers
Prasanna Balaprakash
V. Vishwanath
M. Papka
58
37
0
18 Sep 2019
Large e-retailer image dataset for visual search and product
  classification
Large e-retailer image dataset for visual search and product classification
A. Bellétoile
VLM
36
2
0
18 Sep 2019
Towards Efficient and Secure Delivery of Data for Deep Learning with
  Privacy-Preserving
Towards Efficient and Secure Delivery of Data for Deep Learning with Privacy-Preserving
Juncheng Shen
Juzheng Liu
Yiran Chen
H. Li
FedML
34
6
0
17 Sep 2019
Deep End-to-End Alignment and Refinement for Time-of-Flight RGB-D Module
Deep End-to-End Alignment and Refinement for Time-of-Flight RGB-D Module
Di Qiu
Jiahao Pang
Wenxiu Sun
Chengxi Yang
82
23
0
17 Sep 2019
A Hybrid Deep Learning Approach for Diagnosis of the Erythemato-Squamous
  Disease
A Hybrid Deep Learning Approach for Diagnosis of the Erythemato-Squamous Disease
Sayan Putatunda
20
13
0
17 Sep 2019
Temporally Consistent Depth Prediction with Flow-Guided Memory Units
Temporally Consistent Depth Prediction with Flow-Guided Memory Units
Chanho Eom
Hyunjong Park
Bumsub Ham
MDE
68
14
0
16 Sep 2019
Gumbel-softmax Optimization: A Simple General Framework for
  Combinatorial Optimization Problems on Graphs
Gumbel-softmax Optimization: A Simple General Framework for Combinatorial Optimization Problems on Graphs
Jing Liu
Fei Gao
Jiang Zhang
27
4
0
16 Sep 2019
A Self-Attentional Neural Architecture for Code Completion with
  Multi-Task Learning
A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning
Fang Liu
Ge Li
Bolin Wei
Xin Xia
Zhiyi Fu
Zhi Jin
63
74
0
16 Sep 2019
Particle reconstruction of volumetric particle image velocimetry with
  strategy of machine learning
Particle reconstruction of volumetric particle image velocimetry with strategy of machine learning
Q. Gao
Shaowu Pan
Hongping Wang
R. Wei
Jinjun Wang
3DV
21
30
0
16 Sep 2019
An Empirical Study towards Characterizing Deep Learning Development and
  Deployment across Different Frameworks and Platforms
An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms
Qianyu Guo
Sen Chen
Xiaofei Xie
Lei Ma
Q. Hu
Hongtao Liu
Yang Liu
Jianjun Zhao
Xiaohong Li
94
125
0
15 Sep 2019
An Investigation Into On-device Personalization of End-to-end Automatic
  Speech Recognition Models
An Investigation Into On-device Personalization of End-to-end Automatic Speech Recognition Models
K. Sim
P. Zadrazil
F. Beaufays
88
58
0
14 Sep 2019
DL2: A Deep Learning-driven Scheduler for Deep Learning Clusters
DL2: A Deep Learning-driven Scheduler for Deep Learning Clusters
Size Zheng
Yixin Bao
Yangrui Chen
Chuan Wu
Chen Meng
Wei Lin
56
85
0
13 Sep 2019
Complexity-Scalable Neural Network Based MIMO Detection With Learnable
  Weight Scaling
Complexity-Scalable Neural Network Based MIMO Detection With Learnable Weight Scaling
A. Mohammad
C. Masouros
Y. Andreopoulos
60
28
0
12 Sep 2019
CTRL: A Conditional Transformer Language Model for Controllable
  Generation
CTRL: A Conditional Transformer Language Model for Controllable Generation
N. Keskar
Bryan McCann
Lav Varshney
Caiming Xiong
R. Socher
AI4CE
153
1,255
0
11 Sep 2019
FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability
  and Transparency
FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency
Kacper Sokol
Raúl Santos-Rodríguez
Peter A. Flach
55
37
0
11 Sep 2019
Addressing Algorithmic Bottlenecks in Elastic Machine Learning with
  Chicle
Addressing Algorithmic Bottlenecks in Elastic Machine Learning with Chicle
Michael Kaufmann
K. Kourtis
Celestine Mendler-Dünner
Adrian Schüpbach
Thomas Parnell
18
0
0
11 Sep 2019
Deep Elastic Networks with Model Selection for Multi-Task Learning
Deep Elastic Networks with Model Selection for Multi-Task Learning
Chanho Ahn
Eunwoo Kim
Songhwai Oh
105
49
0
11 Sep 2019
RecSim: A Configurable Simulation Platform for Recommender Systems
RecSim: A Configurable Simulation Platform for Recommender Systems
Eugene Ie
Chih-Wei Hsu
Martin Mladenov
Vihan Jain
Sanmit Narvekar
Jing Wang
Rui Wu
Craig Boutilier
127
183
0
11 Sep 2019
Byzantine-Resilient Stochastic Gradient Descent for Distributed
  Learning: A Lipschitz-Inspired Coordinate-wise Median Approach
Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach
Haibo Yang
Xin Zhang
Minghong Fang
Jia-Wei Liu
70
42
0
10 Sep 2019
GEN: Highly Efficient SMILES Explorer Using Autodidactic Generative
  Examination Networks
GEN: Highly Efficient SMILES Explorer Using Autodidactic Generative Examination Networks
R. V. Deursen
P. Ertl
Igor V. Tetko
Guillaume Godin
28
32
0
10 Sep 2019
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with
  Multiple Seasonal Patterns
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns
Kasun Bandara
Christoph Bergmeir
Hansika Hewamalage
AI4TS
87
139
0
10 Sep 2019
Real Time Trajectory Prediction Using Deep Conditional Generative Models
Real Time Trajectory Prediction Using Deep Conditional Generative Models
S. Gómez-González
Sergey Prokudin
Bernhard Schölkopf
Jan Peters
DRLAI4CE
47
40
0
09 Sep 2019
OCR4all -- An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow
  for Historical Printings
OCR4all -- An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow for Historical Printings
Christian Reul
Dennis Christ
Alexander Hartelt
Nico Balbach
Maximilian Wehner
U. Springmann
C. Wick
Christine Grundig
Andre Büttner
F. Puppe
49
60
0
09 Sep 2019
Distributed Training of Embeddings using Graph Analytics
Distributed Training of Embeddings using Graph Analytics
G. Gill
Roshan Dathathri
Saeed Maleki
Madan Musuvathi
Todd Mytkowicz
Olli Saarikivi The University of Texas at Austin
GNN
26
1
0
08 Sep 2019
On the Acceleration of Deep Learning Model Parallelism with Staleness
On the Acceleration of Deep Learning Model Parallelism with Staleness
An Xu
Zhouyuan Huo
Heng-Chiao Huang
65
38
0
05 Sep 2019
Dense Extreme Inception Network: Towards a Robust CNN Model for Edge
  Detection
Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection
Xavier Soria Poma
Edgar Riba
A. Sappa
96
302
0
04 Sep 2019
ICDM 2019 Knowledge Graph Contest: Team UWA
ICDM 2019 Knowledge Graph Contest: Team UWA
Michael Stewart
Majigsuren Enkhsaikhan
Wei Liu
3DV
34
13
0
04 Sep 2019
Deep Learning-Aided Tabu Search Detection for Large MIMO Systems
Deep Learning-Aided Tabu Search Detection for Large MIMO Systems
N. Nguyen
Kyungchun Lee
71
66
0
04 Sep 2019
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch
Adam Stooke
Pieter Abbeel
OffRL
77
98
0
03 Sep 2019
Making Efficient Use of Demonstrations to Solve Hard Exploration
  Problems
Making Efficient Use of Demonstrations to Solve Hard Exploration Problems
T. Paine
Çağlar Gülçehre
Bobak Shahriari
Misha Denil
Matt Hoffman
...
Duncan Williams
Gabriel Barth-Maron
Ziyun Wang
Nando de Freitas
Worlds Team
82
84
0
03 Sep 2019
PSDNet and DPDNet: Efficient channel expansion,
  Depthwise-Pointwise-Depthwise Inverted Bottleneck Block
PSDNet and DPDNet: Efficient channel expansion, Depthwise-Pointwise-Depthwise Inverted Bottleneck Block
Guoqing Li
Meng Zhang
Qianru Zhang
Ziyang Chen
Wenzhao Liu
Jiaojie Li
Xuzhao Shen
Jian Li
Zhenyu Zhu
Chau Yuen
73
5
0
03 Sep 2019
Guardians of the Deep Fog: Failure-Resilient DNN Inference from Edge to
  Cloud
Guardians of the Deep Fog: Failure-Resilient DNN Inference from Edge to Cloud
Ashkan Yousefpour
Siddartha Devic
Brian Q. Nguyen
Aboudy Kreidieh
Alan Liao
Alexandre M. Bayen
J. Jue
FedMLGNN
64
24
0
03 Sep 2019
Targeted Example Generation for Compilation Errors
Targeted Example Generation for Compilation Errors
Umair Z. Ahmed
Renuka Sindhgatta
Nisheeth Srivastava
Amey Karkare
57
28
0
02 Sep 2019
Kidney tumor segmentation using an ensembling multi-stage deep learning
  approach. A contribution to the KiTS19 challenge
Kidney tumor segmentation using an ensembling multi-stage deep learning approach. A contribution to the KiTS19 challenge
Gianmarco Santini
Noémie Moreau
M. Rubeaux
21
31
0
02 Sep 2019
Enriching Medcial Terminology Knowledge Bases via Pre-trained Language
  Model and Graph Convolutional Network
Enriching Medcial Terminology Knowledge Bases via Pre-trained Language Model and Graph Convolutional Network
Jiaying Zhang
Zhixing Zhang
Huanhuan Zhang
Zhiyuan Ma
Yangming Zhou
Ping He
MedIm
18
0
0
02 Sep 2019
Previous
123...606162...848586
Next