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 / 4,259 papers shown
Title
End-to-end Differentiable Clustering with Associative Memories
End-to-end Differentiable Clustering with Associative Memories
Bishwajit Saha
Dmitry Krotov
Mohammed J Zaki
Parikshit Ram
67
7
0
05 Jun 2023
Proteus: Simulating the Performance of Distributed DNN Training
Proteus: Simulating the Performance of Distributed DNN Training
Jiangfei Duan
Xiuhong Li
Ping Xu
Xingcheng Zhang
Shengen Yan
Yun Liang
Dahua Lin
128
10
0
04 Jun 2023
Collect-and-Distribute Transformer for 3D Point Cloud Analysis
Collect-and-Distribute Transformer for 3D Point Cloud Analysis
Haibo Qiu
Baosheng Yu
Dacheng Tao
3DPCViT
104
7
0
02 Jun 2023
Adversarial Attack Based on Prediction-Correction
Adversarial Attack Based on Prediction-Correction
Chen Wan
Fangjun Huang
AAML
62
4
0
02 Jun 2023
A New PHO-rmula for Improved Performance of Semi-Structured Networks
A New PHO-rmula for Improved Performance of Semi-Structured Networks
David Rügamer
61
10
0
01 Jun 2023
Physics-informed machine learning of redox flow battery based on a
  two-dimensional unit cell model
Physics-informed machine learning of redox flow battery based on a two-dimensional unit cell model
Wenqian Chen
Yu-Hang Fu
P. Stinis
PINN
74
12
0
31 May 2023
Building Manufacturing Deep Learning Models with Minimal and Imbalanced
  Training Data Using Domain Adaptation and Data Augmentation
Building Manufacturing Deep Learning Models with Minimal and Imbalanced Training Data Using Domain Adaptation and Data Augmentation
A. Li
Elisa Bertino
Rih-Teng Wu
Ting Wu
79
5
0
31 May 2023
Auto-Differentiation of Relational Computations for Very Large Scale
  Machine Learning
Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
Yu-Shuen Tang
Zhimin Ding
Dimitrije Jankov
Binhang Yuan
Daniel Bourgeois
C. Jermaine
BDL
107
6
0
31 May 2023
Global-QSGD: Practical Floatless Quantization for Distributed Learning
  with Theoretical Guarantees
Global-QSGD: Practical Floatless Quantization for Distributed Learning with Theoretical Guarantees
Jihao Xin
Marco Canini
Peter Richtárik
Samuel Horváth
90
2
0
29 May 2023
ACETest: Automated Constraint Extraction for Testing Deep Learning
  Operators
ACETest: Automated Constraint Extraction for Testing Deep Learning Operators
Jingyi Shi
Yang Xiao
Yuekang Li
Yeting Li
Dongsong Yu
Chendong Yu
Hui Su
Jinan Xu
Wei Huo
AAML
71
18
0
29 May 2023
RASR2: The RWTH ASR Toolkit for Generic Sequence-to-sequence Speech
  Recognition
RASR2: The RWTH ASR Toolkit for Generic Sequence-to-sequence Speech Recognition
Wei Zhou
Eugen Beck
Simon Berger
Ralf Schluter
Hermann Ney
VLM
79
5
0
28 May 2023
OccCasNet: Occlusion-aware Cascade Cost Volume for Light Field Depth
  Estimation
OccCasNet: Occlusion-aware Cascade Cost Volume for Light Field Depth Estimation
Wentao Chao
Fuqing Duan
Xuechun Wang
Yingqian Wang
Guanghui Wang
3DV
53
7
0
28 May 2023
Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion
  Inference
Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference
Zihao Yu
Haoyang Li
Fangcheng Fu
Xupeng Miao
Tengjiao Wang
DiffM
95
8
0
27 May 2023
Pruning Distorted Images in MNIST Handwritten Digits
Pruning Distorted Images in MNIST Handwritten Digits
Amarnath R
Vinay Kumar
42
1
0
26 May 2023
Confidence-Based Feature Imputation for Graphs with Partially Known
  Features
Confidence-Based Feature Imputation for Graphs with Partially Known Features
Daeho Um
Jiwoong Park
Seulki Park
Hawook Jeong
DiffM
75
17
0
26 May 2023
Improved Multi-Scale Grid Rendering of Point Clouds for Radar Object
  Detection Networks
Improved Multi-Scale Grid Rendering of Point Clouds for Radar Object Detection Networks
Daniel Kohler
Maurice Quach
Michael Ulrich
F. Meinl
Bastian Bischoff
H. Blume
3DPC
103
9
0
25 May 2023
Differentiable Clustering with Perturbed Spanning Forests
Differentiable Clustering with Perturbed Spanning Forests
Lawrence Stewart
Francis R. Bach
Felipe Llinares-López
Quentin Berthet
101
11
0
25 May 2023
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of
  Language Model
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model
Zirui Liu
Guanchu Wang
Shaochen Zhong
Zhaozhuo Xu
Daochen Zha
...
Zhimeng Jiang
Kaixiong Zhou
Vipin Chaudhary
Shuai Xu
Helen Zhou
106
15
0
24 May 2023
The Evolution of Distributed Systems for Graph Neural Networks and their
  Origin in Graph Processing and Deep Learning: A Survey
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey
Jana Vatter
R. Mayer
Hans-Arno Jacobsen
GNNAI4TSAI4CE
98
29
0
23 May 2023
Efficient Large-Scale Visual Representation Learning And Evaluation
Efficient Large-Scale Visual Representation Learning And Evaluation
Eden Dolev
A. Awad
Denisa Roberts
Zahra Ebrahimzadeh
Marcin Mejran
Vaibhav Malpani
Mahir Yavuz
86
0
0
22 May 2023
A Generic Performance Model for Deep Learning in a Distributed
  Environment
A Generic Performance Model for Deep Learning in a Distributed Environment
Tulasi Kavarakuntla
Liangxiu Han
H. Lloyd
Annabel Latham
Anthony Kleerekoper
S. Akintoye
83
0
0
19 May 2023
TSGM: A Flexible Framework for Generative Modeling of Synthetic Time
  Series
TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series
Alexander Nikitin
Letizia Iannucci
Samuel Kaski
TTASyDaAI4TS
112
14
0
19 May 2023
Curve Your Enthusiasm: Concurvity Regularization in Differentiable
  Generalized Additive Models
Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models
Julien N. Siems
Konstantin Ditschuneit
Winfried Ripken
Alma Lindborg
Maximilian Schambach
Johannes Otterbach
Martin Genzel
90
6
0
19 May 2023
Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud
  Segmentation in the Geosciences
Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud Segmentation in the Geosciences
Ahmed J. Afifi
Samuel T. Thiele
Aldino Rizaldy
S. Lorenz
Pedram Ghamisi
R. Tolosana-Delgado
M. Kirsch
R. Gloaguen
M. Heizmann
3DPC
75
11
0
17 May 2023
Privacy Loss of Noisy Stochastic Gradient Descent Might Converge Even
  for Non-Convex Losses
Privacy Loss of Noisy Stochastic Gradient Descent Might Converge Even for Non-Convex Losses
S. Asoodeh
Mario Díaz
72
6
0
17 May 2023
Accelerating Communications in Federated Applications with Transparent
  Object Proxies
Accelerating Communications in Federated Applications with Transparent Object Proxies
J. G. Pauloski
Valérie Hayot-Sasson
Logan T. Ward
Nathaniel Hudson
Charlie Sabino
Matt Baughman
Kyle Chard
Ian Foster
102
13
0
16 May 2023
GIFT: Graph-Induced Fine-Tuning for Multi-Party Conversation
  Understanding
GIFT: Graph-Induced Fine-Tuning for Multi-Party Conversation Understanding
Jia-Chen Gu
Zhen-Hua Ling
Quan Liu
Cong Liu
Guoping Hu
92
10
0
16 May 2023
Transactional Python for Durable Machine Learning: Vision, Challenges,
  and Feasibility
Transactional Python for Durable Machine Learning: Vision, Challenges, and Feasibility
Supawit Chockchowwat
Zhaoheng Li
Yongjoo Park
46
4
0
15 May 2023
Trillion Dollar Words: A New Financial Dataset, Task & Market Analysis
Trillion Dollar Words: A New Financial Dataset, Task & Market Analysis
Agam Shah
Suvan Paturi
Sudheer Chava
AIFin
54
51
0
13 May 2023
AMULET: Adaptive Matrix-Multiplication-Like Tasks
AMULET: Adaptive Matrix-Multiplication-Like Tasks
Junyoung Kim
Kenneth Ross
Eric Sedlar
Lukas Stadler
96
1
0
12 May 2023
COLA: Characterizing and Optimizing the Tail Latency for Safe Level-4
  Autonomous Vehicle Systems
COLA: Characterizing and Optimizing the Tail Latency for Safe Level-4 Autonomous Vehicle Systems
Haolan Liu
Zixuan Wang
Jishen Zhao
62
1
0
11 May 2023
Physics-Informed Neural Networks for Discovering Localised Eigenstates
  in Disordered Media
Physics-Informed Neural Networks for Discovering Localised Eigenstates in Disordered Media
Liam Harcombe
Quanling Deng
68
6
0
11 May 2023
Optimizing Memory Mapping Using Deep Reinforcement Learning
Optimizing Memory Mapping Using Deep Reinforcement Learning
Pengming Wang
Mikita Sazanovich
Berkin Ilbeyi
P. Phothilimthana
Manish Purohit
...
R. Tung
Paula Kurylowicz
Kieran Milan
Oriol Vinyals
D. Mankowitz
76
4
0
11 May 2023
A Neural Emulator for Uncertainty Estimation of Fire Propagation
A Neural Emulator for Uncertainty Estimation of Fire Propagation
Andrew Bolt
Conrad Sanderson
J. Dabrowski
C. Huston
Petra Kuhnert
65
3
0
10 May 2023
Technical Understanding from IML Hands-on Experience: A Study through a
  Public Event for Science Museum Visitors
Technical Understanding from IML Hands-on Experience: A Study through a Public Event for Science Museum Visitors
Wataru Kawabe
Yuri Nakao
Akihisa Shitara
Yusuke Sugano
73
1
0
10 May 2023
A Systematic Literature Review on Hardware Reliability Assessment
  Methods for Deep Neural Networks
A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks
Mohammad Hasan Ahmadilivani
Mahdi Taheri
J. Raik
Masoud Daneshtalab
M. Jenihhin
89
29
0
09 May 2023
Physics-informed neural network for seismic wave inversion in layered
  semi-infinite domain
Physics-informed neural network for seismic wave inversion in layered semi-infinite domain
Pu Ren
Chengping Rao
Haoqin Sun
Yang Liu
PINN
78
5
0
09 May 2023
Flame: Simplifying Topology Extension in Federated Learning
Flame: Simplifying Topology Extension in Federated Learning
Harshit Daga
Jae-Kwang Shin
D. Garg
Ada Gavrilovska
Myungjin Lee
Ramana Rao Kompella
AI4CE
78
11
0
09 May 2023
Provable Identifiability of Two-Layer ReLU Neural Networks via LASSO
  Regularization
Provable Identifiability of Two-Layer ReLU Neural Networks via LASSO Regularization
Geng Li
G. Wang
Jie Ding
53
3
0
07 May 2023
A Generative Modeling Framework for Inferring Families of Biomechanical
  Constitutive Laws in Data-Sparse Regimes
A Generative Modeling Framework for Inferring Families of Biomechanical Constitutive Laws in Data-Sparse Regimes
Minglang Yin
Zongren Zou
Enrui Zhang
C. Cavinato
J. Humphrey
George Karniadakis
SyDaMedImAI4CE
111
11
0
04 May 2023
SuperNOVA: Design Strategies and Opportunities for Interactive
  Visualization in Computational Notebooks
SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks
Zijie J. Wang
David Munechika
Seongmin Lee
Duen Horng Chau
105
10
0
04 May 2023
Enhanced Multi-level Features for Very High Resolution Remote Sensing
  Scene Classification
Enhanced Multi-level Features for Very High Resolution Remote Sensing Scene Classification
C. Sitaula
K. Sumesh
Jagannath Aryal
40
21
0
01 May 2023
Impact of Deep Learning Libraries on Online Adaptive Lightweight Time
  Series Anomaly Detection
Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection
Ming-Chang Lee
Jia-Chun Lin
AI4TS
62
2
0
30 Apr 2023
X-RLflow: Graph Reinforcement Learning for Neural Network Subgraphs
  Transformation
X-RLflow: Graph Reinforcement Learning for Neural Network Subgraphs Transformation
Guoliang He
Sean Parker
Eiko Yoneki
56
4
0
28 Apr 2023
Low-field magnetic resonance image enhancement via stochastic image
  quality transfer
Low-field magnetic resonance image enhancement via stochastic image quality transfer
Hongxiang Lin
Matteo Figini
F. D’Arco
G. Ogbole
Ryutaro Tanno
...
D. Carmichael
I. Lagunju
J. Cross
D. Fernández-Reyes
Daniel C. Alexander
82
24
0
26 Apr 2023
What Causes Exceptions in Machine Learning Applications? Mining Machine
  Learning-Related Stack Traces on Stack Overflow
What Causes Exceptions in Machine Learning Applications? Mining Machine Learning-Related Stack Traces on Stack Overflow
Amin Ghadesi
Maxime Lamothe
Heng Li
50
1
0
25 Apr 2023
Incorporating Experts' Judgment into Machine Learning Models
Incorporating Experts' Judgment into Machine Learning Models
Hogun Park
Aly Megahed
Peifeng Yin
Yuya Jeremy Ong
P. Mahajan
Pei Guo
32
9
0
24 Apr 2023
Multiplierless In-filter Computing for tinyML Platforms
Multiplierless In-filter Computing for tinyML Platforms
Abhishek Ramdas Nair
P. Nath
S. Chakrabartty
Chetan Singh Thakur
29
1
0
24 Apr 2023
Small-footprint slimmable networks for keyword spotting
Small-footprint slimmable networks for keyword spotting
Zuhaib Akhtar
Mohammad Omar Khursheed
Dongsu Du
Yuzong Liu
47
4
0
21 Apr 2023
Learning Diffractive Optical Communication Around Arbitrary Opaque
  Occlusions
Learning Diffractive Optical Communication Around Arbitrary Opaque Occlusions
Md. Sadman Sakib Rahman
Tianyi Gan
Emir Arda Deger
Çaǧatay Işıl
Mona Jarrahi
Aydogan Ozcan
77
20
0
20 Apr 2023
Previous
123...101112...848586
Next