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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
Localization with Reconfigurable Intelligent Surface: An Active Sensing
  Approach
Localization with Reconfigurable Intelligent Surface: An Active Sensing Approach
Zhongze Zhang
Tao Jiang
Weiyong Yu
59
10
0
14 Dec 2023
Deep Learning-Based Cyber-Attack Detection Model for Smart Grids
Deep Learning-Based Cyber-Attack Detection Model for Smart Grids
Mojtaba Mohammadi
Arshia Aflaki
Abdollah Kavousifard
Mohsen Gitizadeh
18
0
0
14 Dec 2023
ProNeRF: Learning Efficient Projection-Aware Ray Sampling for
  Fine-Grained Implicit Neural Radiance Fields
ProNeRF: Learning Efficient Projection-Aware Ray Sampling for Fine-Grained Implicit Neural Radiance Fields
J. P. Bello
Minh-Quan Viet Bui
Munchurl Kim
82
0
0
13 Dec 2023
Rethinking materials simulations: Blending direct numerical simulations
  with neural operators
Rethinking materials simulations: Blending direct numerical simulations with neural operators
Vivek Oommen
K. Shukla
Saaketh Desai
Rémi Dingreville
George Karniadakis
AI4CE
93
22
0
08 Dec 2023
Tenplex: Dynamic Parallelism for Deep Learning using Parallelizable
  Tensor Collections
Tenplex: Dynamic Parallelism for Deep Learning using Parallelizable Tensor Collections
Marcel Wagenlander
Guo Li
Bo Zhao
Kai Zou
Peter R. Pietzuch
98
7
0
08 Dec 2023
Graph for Science: From API based Programming to Graph Engine based
  Programming for HPC
Graph for Science: From API based Programming to Graph Engine based Programming for HPC
Yu Zhang
Zixiao Wang
Jin Zhao
Yuluo Guo
Hui Yu
Zhiying Huang
Xuanhua Shi
Xiaofei Liao
26
0
0
08 Dec 2023
Efficient Parallel Reinforcement Learning Framework using the Reactor
  Model
Efficient Parallel Reinforcement Learning Framework using the Reactor Model
Jacky Kwok
Marten Lohstroh
Edward A. Lee
64
0
0
07 Dec 2023
Moirai: Towards Optimal Placement for Distributed Inference on
  Heterogeneous Devices
Moirai: Towards Optimal Placement for Distributed Inference on Heterogeneous Devices
Beibei Zhang
Hongwei Zhu
Feng Gao
Zhihui Yang
Xiaoyang Sean Wang
110
1
0
07 Dec 2023
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for
  Graph Streams
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams
Chaoyi Chen
Dechao Gao
Yanfeng Zhang
Qiange Wang
Zhenbo Fu
Xuecang Zhang
Junhua Zhu
Yu Gu
Ge Yu
GNN
89
6
0
05 Dec 2023
RINAS: Training with Dataset Shuffling Can Be General and Fast
RINAS: Training with Dataset Shuffling Can Be General and Fast
Tianle Zhong
Jiechen Zhao
Xindi Guo
Qiang Su
Geoffrey C. Fox
76
4
0
04 Dec 2023
Federated Learning is Better with Non-Homomorphic Encryption
Federated Learning is Better with Non-Homomorphic Encryption
Konstantin Burlachenko
Abdulmajeed Alrowithi
Fahad Ali Albalawi
Peter Richtárik
FedML
91
6
0
04 Dec 2023
AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for
  Preconditioning Matrix
AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix
Yun Yue
Zhiling Ye
Jiadi Jiang
Yongchao Liu
Ke Zhang
ODL
122
1
0
04 Dec 2023
Using Large Language Models to Accelerate Communication for Users with
  Severe Motor Impairments
Using Large Language Models to Accelerate Communication for Users with Severe Motor Impairments
Shanqing Cai
Subhashini Venugopalan
Katie Seaver
Xiang Xiao
Katrin Tomanek
...
Daniel E Vance
Blair Casey
Steve M. Gleason
Philip Q. Nelson
Michael P. Brenner
63
7
0
03 Dec 2023
Optimizing Context-Enhanced Relational Joins
Optimizing Context-Enhanced Relational Joins
Viktor Sanca
Manos Chatzakis
Anastasia Ailamaki
103
2
0
03 Dec 2023
SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer
SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer
Renan A. Rojas-Gomez
Karan Singhal
Ali Etemad
Alex Bijamov
Warren Morningstar
Philip Mansfield
77
1
0
02 Dec 2023
BCN: Batch Channel Normalization for Image Classification
BCN: Batch Channel Normalization for Image Classification
Afifa Khaled
Chao Li
Jia Ning
Kun He
42
7
0
01 Dec 2023
Automatic Functional Differentiation in JAX
Automatic Functional Differentiation in JAX
Min Lin
29
4
0
30 Nov 2023
Combined Scheduling, Memory Allocation and Tensor Replacement for
  Minimizing Off-Chip Data Accesses of DNN Accelerators
Combined Scheduling, Memory Allocation and Tensor Replacement for Minimizing Off-Chip Data Accesses of DNN Accelerators
Yi Li
Aarti Gupta
Sharad Malik
29
1
0
30 Nov 2023
Packrat: Automatic Reconfiguration for Latency Minimization in CPU-based
  DNN Serving
Packrat: Automatic Reconfiguration for Latency Minimization in CPU-based DNN Serving
Ankit Bhardwaj
Amar Phanishayee
Deepak Narayanan
Mihail Tarta
Ryan Stutsman
23
2
0
30 Nov 2023
Bias Resilient Multi-Step Off-Policy Goal-Conditioned Reinforcement
  Learning
Bias Resilient Multi-Step Off-Policy Goal-Conditioned Reinforcement Learning
Lisheng Wu
Ke Chen
64
0
0
29 Nov 2023
GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on
  Dynamic Graphs
GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic Graphs
Yuchen Zhong
Guangming Sheng
Tianzuo Qin
Minjie Wang
Quan Gan
Chuan Wu
AI4CEGNN
92
8
0
29 Nov 2023
Deep Regularized Compound Gaussian Network for Solving Linear Inverse
  Problems
Deep Regularized Compound Gaussian Network for Solving Linear Inverse Problems
Carter Lyons
R. Raj
Margaret Cheney
BDL
66
3
0
28 Nov 2023
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning
Jintang Li
Jiawang Dan
Ruofan Wu
Jing Zhou
Sheng Tian
...
Changhua Meng
Weiqiang Wang
Yuchang Zhu
Liang Chen
Zibin Zheng
AI4CE
85
0
0
28 Nov 2023
BatchNorm-based Weakly Supervised Video Anomaly Detection
BatchNorm-based Weakly Supervised Video Anomaly Detection
Yixuan Zhou
Yi Qu
Xing Xu
Fumin Shen
Jingkuan Song
Hengtao Shen
87
20
0
26 Nov 2023
Support Vector Machine Implementation on MPI-CUDA and Tensorflow
  Framework
Support Vector Machine Implementation on MPI-CUDA and Tensorflow Framework
Islam Elgarhy
18
0
0
25 Nov 2023
HongTu: Scalable Full-Graph GNN Training on Multiple GPUs (via
  communication-optimized CPU data offloading)
HongTu: Scalable Full-Graph GNN Training on Multiple GPUs (via communication-optimized CPU data offloading)
Qiange Wang
Yao Chen
Weng-Fai Wong
Bingsheng He
GNN
58
11
0
25 Nov 2023
Weak Alignment Supervision from Hybrid Model Improves End-to-end ASR
Weak Alignment Supervision from Hybrid Model Improves End-to-end ASR
Jintao Jiang
Yingbo Gao
Zoltán Tüske
106
1
0
24 Nov 2023
DP-NMT: Scalable Differentially-Private Machine Translation
DP-NMT: Scalable Differentially-Private Machine Translation
Timour Igamberdiev
Doan Nam Long Vu
Felix Künnecke
Zhuo Yu
Jannik Holmer
Ivan Habernal
91
7
0
24 Nov 2023
Prototype of deployment of Federated Learning with IoT devices
Prototype of deployment of Federated Learning with IoT devices
Pablo García Santaclara
Ana Fernández-Vilas
R. Redondo
58
11
0
24 Nov 2023
When Side-Channel Attacks Break the Black-Box Property of Embedded
  Artificial Intelligence
When Side-Channel Attacks Break the Black-Box Property of Embedded Artificial Intelligence
Benoît Coqueret
Mathieu Carbone
Olivier Sentieys
Gabriel Zaid
89
2
0
23 Nov 2023
Investigating the use of publicly available natural videos to learn
  Dynamic MR image reconstruction
Investigating the use of publicly available natural videos to learn Dynamic MR image reconstruction
O. Jaubert
Michele Pascale
Javier Montalt-Tordera
Julius Akesson
Ruta Virsinskaite
Dan Knight
Simon Arridge
J. Steeden
V. Muthurangu
111
1
0
23 Nov 2023
Locally Optimal Descent for Dynamic Stepsize Scheduling
Locally Optimal Descent for Dynamic Stepsize Scheduling
Gilad Yehudai
Alon Cohen
Amit Daniely
Yoel Drori
Tomer Koren
Mariano Schain
93
0
0
23 Nov 2023
DMLR: Data-centric Machine Learning Research -- Past, Present and Future
DMLR: Data-centric Machine Learning Research -- Past, Present and Future
Luis Oala
M. Maskey
Lilith Bat-Leah
Alicia Parrish
Nezihe Merve Gürel
...
Lora Aroyo
Ce Zhang
Joaquin Vanschoren
Isabelle Guyon
Peter Mattson
AI4CE
83
13
0
21 Nov 2023
Perspectives on Privacy in the Post-Roe Era: A Mixed-Methods of Machine
  Learning and Qualitative Analyses of Tweets
Perspectives on Privacy in the Post-Roe Era: A Mixed-Methods of Machine Learning and Qualitative Analyses of Tweets
Yawen Guo
Rachael Zehrung
Katie Genuario
Xuan Lu
Qiaozhu Mei
Yunan Chen
Kai Zheng
26
2
0
20 Nov 2023
Tensor-Aware Energy Accounting
Tensor-Aware Energy Accounting
Timur Babakol
Yu David Liu
43
4
0
19 Nov 2023
Accurate and Fast Fischer-Tropsch Reaction Microkinetics using PINNs
Accurate and Fast Fischer-Tropsch Reaction Microkinetics using PINNs
Harshil Patel
Aniruddha Panda
T. Nikolaienko
Stanislav Jaso
Alejandro Lopez
Kaushic Kalyanaraman
65
2
0
17 Nov 2023
CDMPP: A Device-Model Agnostic Framework for Latency Prediction of
  Tensor Programs
CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs
Hanpeng Hu
Junwei Su
Juntao Zhao
Size Zheng
Yibo Zhu
Yanghua Peng
Chuan Wu
83
2
0
16 Nov 2023
Regenerating Arbitrary Video Sequences with Distillation Path-Finding
Regenerating Arbitrary Video Sequences with Distillation Path-Finding
T. Le
Sheng-Yi Yao
Chun-Te Wu
Tong-Yee Lee
87
1
0
13 Nov 2023
A differentiable brain simulator bridging brain simulation and
  brain-inspired computing
A differentiable brain simulator bridging brain simulation and brain-inspired computing
Chaoming Wang
Tianqiu Zhang
Sichao He
Hongyaoxing Gu
Shangyang Li
Si Wu
114
4
0
09 Nov 2023
Near-Linear Scaling Data Parallel Training with Overlapping-Aware
  Gradient Compression
Near-Linear Scaling Data Parallel Training with Overlapping-Aware Gradient Compression
Lin Meng
Yuzhong Sun
Weimin Li
77
1
0
08 Nov 2023
Blurry Video Compression: A Trade-off between Visual Enhancement and
  Data Compression
Blurry Video Compression: A Trade-off between Visual Enhancement and Data Compression
Dawit Mureja Argaw
Junsik Kim
In So Kweon
45
1
0
08 Nov 2023
Practical Performance Guarantees for Pipelined DNN Inference
Practical Performance Guarantees for Pipelined DNN Inference
Aaron Archer
Matthew Fahrbach
Kuikui Liu
Prakash Prabhu
63
0
0
07 Nov 2023
Machine learning's own Industrial Revolution
Machine learning's own Industrial Revolution
Yuan Luo
Song Han
Jingjing Liu
AI4CE
96
0
0
04 Nov 2023
TinyFormer: Efficient Transformer Design and Deployment on Tiny Devices
TinyFormer: Efficient Transformer Design and Deployment on Tiny Devices
Jianlei Yang
Jiacheng Liao
Fanding Lei
Meichen Liu
Junyi Chen
Lingkun Long
Han Wan
Bei Yu
Weisheng Zhao
MoE
137
2
0
03 Nov 2023
SmoothHess: ReLU Network Feature Interactions via Stein's Lemma
SmoothHess: ReLU Network Feature Interactions via Stein's Lemma
Max Torop
A. Masoomi
Davin Hill
Kivanc Kose
Stratis Ioannidis
Jennifer Dy
128
5
0
01 Nov 2023
Domain decomposition-based coupling of physics-informed neural networks
  via the Schwarz alternating method
Domain decomposition-based coupling of physics-informed neural networks via the Schwarz alternating method
Will Snyder
Irina Tezaur
Christopher Wentland
67
4
0
01 Nov 2023
Relax: Composable Abstractions for End-to-End Dynamic Machine Learning
Relax: Composable Abstractions for End-to-End Dynamic Machine Learning
Ruihang Lai
Junru Shao
Siyuan Feng
Steven Lyubomirsky
Bohan Hou
...
Sunghyun Park
Prakalp Srivastava
Jared Roesch
T. Mowry
Tianqi Chen
111
11
0
01 Nov 2023
View Classification and Object Detection in Cardiac Ultrasound to
  Localize Valves via Deep Learning
View Classification and Object Detection in Cardiac Ultrasound to Localize Valves via Deep Learning
Derya Gol Gungor
B. Rao
C. Wolverton
I. Guracar
25
3
0
31 Oct 2023
StairNet: Visual Recognition of Stairs for Human-Robot Locomotion
StairNet: Visual Recognition of Stairs for Human-Robot Locomotion
Andrew Garrett Kurbis
Dmytro Kuzmenko
Bogdan Ivanyuk-Skulskiy
Alex Mihailidis
Brokoslaw Laschowski
25
0
0
31 Oct 2023
ROAM: memory-efficient large DNN training via optimized operator
  ordering and memory layout
ROAM: memory-efficient large DNN training via optimized operator ordering and memory layout
Huiyao Shu
Ang Wang
Ziji Shi
Hanyu Zhao
Yong Li
Lu Lu
OffRL
65
2
0
30 Oct 2023
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