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

50 / 4,260 papers shown
Title
pyribs: A Bare-Bones Python Library for Quality Diversity Optimization
pyribs: A Bare-Bones Python Library for Quality Diversity Optimization
Bryon Tjanaka
Matthew C. Fontaine
David H. Lee
Yulun Zhang
Nivedit Reddy Balam
N. Dennler
Sujay S. Garlanka
Nikitas Dimitri Klapsis
Stefanos Nikolaidis
107
42
0
01 Mar 2023
Efficient Sensor Placement from Regression with Sparse Gaussian
  Processes in Continuous and Discrete Spaces
Efficient Sensor Placement from Regression with Sparse Gaussian Processes in Continuous and Discrete Spaces
Kalvik Jakkala
Srinivas Akella
77
1
0
28 Feb 2023
Ultra-low Precision Multiplication-free Training for Deep Neural
  Networks
Ultra-low Precision Multiplication-free Training for Deep Neural Networks
Chang-Shu Liu
Rui Zhang
Xishan Zhang
Yifan Hao
Zidong Du
Xingui Hu
Ling Li
Qi Guo
MQ
130
1
0
28 Feb 2023
Full Stack Optimization of Transformer Inference: a Survey
Full Stack Optimization of Transformer Inference: a Survey
Sehoon Kim
Coleman Hooper
Thanakul Wattanawong
Minwoo Kang
Ruohan Yan
...
Qijing Huang
Kurt Keutzer
Michael W. Mahoney
Y. Shao
A. Gholami
MQ
163
106
0
27 Feb 2023
Autoencoders as Pattern Filters
Autoencoders as Pattern Filters
M. Andrecut
18
0
0
26 Feb 2023
EvoTorch: Scalable Evolutionary Computation in Python
EvoTorch: Scalable Evolutionary Computation in Python
N. E. Toklu
Timothy James Atkinson
Vojtvech Micka
Paweł Liskowski
R. Srivastava
94
14
0
24 Feb 2023
Learning stiff chemical kinetics using extended deep neural operators
Learning stiff chemical kinetics using extended deep neural operators
S. Goswami
Ameya Dilip Jagtap
H. Babaee
Bryan T. Susi
George Karniadakis
AI4CE
180
40
0
23 Feb 2023
SymX: Energy-based Simulation from Symbolic Expressions
SymX: Energy-based Simulation from Symbolic Expressions
J. A. Fernández-fernández
F. Löschner
Lukas Westhofen
Andreas Longva
Jan Bender
29
7
0
22 Feb 2023
Recent Advancements in Deep Learning Applications and Methods for
  Autonomous Navigation: A Comprehensive Review
Recent Advancements in Deep Learning Applications and Methods for Autonomous Navigation: A Comprehensive Review
Arman Asgharpoor Golroudbari
M. Sabour
84
22
0
22 Feb 2023
Task-Oriented Prediction and Communication Co-Design for Haptic
  Communications
Task-Oriented Prediction and Communication Co-Design for Haptic Communications
Burak Kizilkaya
Changyang She
Guodong Zhao
Muhammad Ali Imran
43
10
0
21 Feb 2023
CHA2: CHemistry Aware Convex Hull Autoencoder Towards Inverse Molecular
  Design
CHA2: CHemistry Aware Convex Hull Autoencoder Towards Inverse Molecular Design
M. S. Ghaemi
Hang Hu
A. Hu
H. K. Ooi
BDL
39
0
0
21 Feb 2023
Scalable Infomin Learning
Scalable Infomin Learning
Yanzhi Chen
Wei-Der Sun
Yingzhen Li
Adrian Weller
107
8
0
21 Feb 2023
Faster high-accuracy log-concave sampling via algorithmic warm starts
Faster high-accuracy log-concave sampling via algorithmic warm starts
Jason M. Altschuler
Sinho Chewi
115
37
0
20 Feb 2023
Spatio-Temporal Momentum: Jointly Learning Time-Series and
  Cross-Sectional Strategies
Spatio-Temporal Momentum: Jointly Learning Time-Series and Cross-Sectional Strategies
Wee Ling Tan
Stephen J. Roberts
S. Zohren
AI4TSAIFin
39
10
0
20 Feb 2023
Fixflow: A Framework to Evaluate Fixed-point Arithmetic in Light-Weight
  CNN Inference
Fixflow: A Framework to Evaluate Fixed-point Arithmetic in Light-Weight CNN Inference
Farhad Taheri
Siavash Bayat Sarmadi
H. Mosanaei-Boorani
Reza Taheri
MQ
32
1
0
19 Feb 2023
Improving Training Stability for Multitask Ranking Models in Recommender
  Systems
Improving Training Stability for Multitask Ranking Models in Recommender Systems
Jiaxi Tang
Yoel Drori
Daryl Chang
M. Sathiamoorthy
Justin Gilmer
Li Wei
Xinyang Yi
Lichan Hong
Ed H. Chi
100
10
0
17 Feb 2023
Social Visual Behavior Analytics for Autism Therapy of Children Based on
  Automated Mutual Gaze Detection
Social Visual Behavior Analytics for Autism Therapy of Children Based on Automated Mutual Gaze Detection
Zhang Guo
Vuthea Chheang
Jicheng Li
Kenneth Barner
Anjana Bhat
R. Barmaki
58
6
0
16 Feb 2023
Auto-Parallelizing Large Models with Rhino: A Systematic Approach on
  Production AI Platform
Auto-Parallelizing Large Models with Rhino: A Systematic Approach on Production AI Platform
Shiwei Zhang
Lansong Diao
Siyu Wang
Zongyan Cao
Yiliang Gu
Chang Si
Ziji Shi
Zhen Zheng
Chuan Wu
W. Lin
AI4CE
56
4
0
16 Feb 2023
Slapo: A Schedule Language for Progressive Optimization of Large Deep
  Learning Model Training
Slapo: A Schedule Language for Progressive Optimization of Large Deep Learning Model Training
Hongzheng Chen
Cody Hao Yu
Shuai Zheng
Zhen Zhang
Zhiru Zhang
Yida Wang
84
8
0
16 Feb 2023
Frameworks for SNNs: a Review of Data Science-oriented Software and an
  Expansion of SpykeTorch
Frameworks for SNNs: a Review of Data Science-oriented Software and an Expansion of SpykeTorch
D. L. Manna
Alex Vicente-Sola
Paul Kirkland
Trevor Bihl
G. D. Caterina
57
11
0
15 Feb 2023
The Geometry of Neural Nets' Parameter Spaces Under Reparametrization
The Geometry of Neural Nets' Parameter Spaces Under Reparametrization
Agustinus Kristiadi
Felix Dangel
Philipp Hennig
73
14
0
14 Feb 2023
PADLL: Taming Metadata-intensive HPC Jobs Through Dynamic,
  Application-agnostic QoS Control
PADLL: Taming Metadata-intensive HPC Jobs Through Dynamic, Application-agnostic QoS Control
Ricardo Macedo
Mariana Miranda
Y. Tanimura
J. Haga
Amit Ruhela
Stephen Lien Harrell
R. T. Evans
J. Pereira
J. Paulo
28
6
0
13 Feb 2023
SWIFT: Expedited Failure Recovery for Large-scale DNN Training
SWIFT: Expedited Failure Recovery for Large-scale DNN Training
Keon Jang
Hassan M. G. Wassel
Behnam Montazeri
Michael Ryan
David Wetherall
56
8
0
13 Feb 2023
Expediting Distributed DNN Training with Device Topology-Aware Graph
  Deployment
Expediting Distributed DNN Training with Device Topology-Aware Graph Deployment
Shiwei Zhang
Xiaodong Yi
Lansong Diao
Chuan Wu
Siyu Wang
W. Lin
GNN
47
5
0
13 Feb 2023
CCDN: Checkerboard Corner Detection Network for Robust Camera
  Calibration
CCDN: Checkerboard Corner Detection Network for Robust Camera Calibration
Ben Chen
C. Xiong
Qi Zhang
46
18
0
10 Feb 2023
Mixed formulation of physics-informed neural networks for
  thermo-mechanically coupled systems and heterogeneous domains
Mixed formulation of physics-informed neural networks for thermo-mechanically coupled systems and heterogeneous domains
Ali Harandi
Ahmad Moeineddin
Michael Kaliske
Stefanie Reese
Shahed Rezaei
AI4CEPINN
84
44
0
09 Feb 2023
Nerfstudio: A Modular Framework for Neural Radiance Field Development
Nerfstudio: A Modular Framework for Neural Radiance Field Development
Matthew Tancik
Ethan Weber
Evonne Ng
Ruilong Li
Brent Yi
...
Jake Austin
Kamyar Salahi
Abhik Ahuja
David McAllister
Angjoo Kanazawa
189
653
0
08 Feb 2023
Unsupervised Seismic Footprint Removal With Physical Prior Augmented
  Deep Autoencoder
Unsupervised Seismic Footprint Removal With Physical Prior Augmented Deep Autoencoder
Feng Qian
Yuehua Yue
Yu He
Hongtao Yu
Yingjie Zhou
Jinliang Tang
Guang Hu
43
18
0
08 Feb 2023
ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via
  Learned Finite State Machines
ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines
Siyuan Chen
Pratik Fegade
Tianqi Chen
Phillip B. Gibbons
T. Mowry
50
0
0
08 Feb 2023
HyperSLICE: HyperBand optimized Spiral for Low-latency Interactive
  Cardiac Examination
HyperSLICE: HyperBand optimized Spiral for Low-latency Interactive Cardiac Examination
Oliver Jaubert
Javier Montalt-Tordera
Dan Knight
Simon Arridge
J. Steeden
V. Muthurangu
60
7
0
06 Feb 2023
PAseos Simulates the Environment for Operating multiple Spacecraft
PAseos Simulates the Environment for Operating multiple Spacecraft
Pablo Gómez
Johan Ostman
V. M. Shreenath
Gabriele Meoni
62
5
0
06 Feb 2023
$z$-SignFedAvg: A Unified Stochastic Sign-based Compression for
  Federated Learning
zzz-SignFedAvg: A Unified Stochastic Sign-based Compression for Federated Learning
Zhiwei Tang
Yanmeng Wang
Tsung-Hui Chang
FedML
72
14
0
06 Feb 2023
Towards energy-efficient Deep Learning: An overview of energy-efficient
  approaches along the Deep Learning Lifecycle
Towards energy-efficient Deep Learning: An overview of energy-efficient approaches along the Deep Learning Lifecycle
Vanessa Mehlin
Sigurd Schacht
Carsten Lanquillon
HAIMedIm
133
20
0
05 Feb 2023
NeuRI: Diversifying DNN Generation via Inductive Rule Inference
NeuRI: Diversifying DNN Generation via Inductive Rule Inference
Jiawei Liu
Jinjun Peng
Yuyao Wang
Lingming Zhang
AI4CE
85
19
0
04 Feb 2023
Detecting Security Patches via Behavioral Data in Code Repositories
Detecting Security Patches via Behavioral Data in Code Repositories
Nitzan Farhi
Noam Koenigstein
Y. Shavitt
61
1
0
04 Feb 2023
GRANDE: a neural model over directed multigraphs with application to
  anti-money laundering
GRANDE: a neural model over directed multigraphs with application to anti-money laundering
Ruofan Wu
Boqun Ma
Hong Jin
Wenlong Zhao
Weiqiang Wang
Tianyi Zhang
46
1
0
04 Feb 2023
Deep Reinforcement Learning for Traffic Light Control in Intelligent Transportation Systems
Deep Reinforcement Learning for Traffic Light Control in Intelligent Transportation Systems
Xiao-Yang Liu
Ming Zhu
S. Borst
A. Elwalid
154
10
0
04 Feb 2023
PyGlove: Efficiently Exchanging ML Ideas as Code
PyGlove: Efficiently Exchanging ML Ideas as Code
Daiyi Peng
Xuanyi Dong
Esteban Real
Yifeng Lu
Quoc V. Le
28
0
0
03 Feb 2023
FR3D: Three-dimensional Flow Reconstruction and Force Estimation for
  Unsteady Flows Around Extruded Bluff Bodies via Conformal Mapping Aided
  Convolutional Autoencoders
FR3D: Three-dimensional Flow Reconstruction and Force Estimation for Unsteady Flows Around Extruded Bluff Bodies via Conformal Mapping Aided Convolutional Autoencoders
Ali Girayhan Ozbay
S. Laizet
AI4CE
52
2
0
03 Feb 2023
adSformers: Personalization from Short-Term Sequences and Diversity of
  Representations in Etsy Ads
adSformers: Personalization from Short-Term Sequences and Diversity of Representations in Etsy Ads
A. Awad
Denisa Roberts
Eden Dolev
Andrea Heyman
Zahra Ebrahimzadeh
Zoe Weil
Marcin Mejran
Vaibhav Malpani
Mahir Yavuz
70
6
0
02 Feb 2023
Xenos: Dataflow-Centric Optimization to Accelerate Model Inference on
  Edge Devices
Xenos: Dataflow-Centric Optimization to Accelerate Model Inference on Edge Devices
Runhua Zhang
Hongxu Jiang
Fangzheng Tian
Jinkun Geng
Xiaobin Li
Yuhang Ma
Chenhui Zhu
Dong Dong
Li Xin
Haojie Wang
47
4
0
01 Feb 2023
Learning Roles with Emergent Social Value Orientations
Learning Roles with Emergent Social Value Orientations
Wenhao Li
Xiangfeng Wang
Bo Jin
J. Lu
H. Zha
47
3
0
31 Jan 2023
CMLCompiler: A Unified Compiler for Classical Machine Learning
CMLCompiler: A Unified Compiler for Classical Machine Learning
Xu Wen
Wanling Gao
An-Dong Li
Lei Wang
Zihan Jiang
Jianfeng Zhan
50
0
0
31 Jan 2023
Learning to Solve Integer Linear Programs with Davis-Yin Splitting
Learning to Solve Integer Linear Programs with Davis-Yin Splitting
Daniel McKenzie
Samy Wu Fung
Howard Heaton
89
4
0
31 Jan 2023
On the Correctness of Automatic Differentiation for Neural Networks with
  Machine-Representable Parameters
On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters
Wonyeol Lee
Sejun Park
A. Aiken
PINN
46
6
0
31 Jan 2023
Operator Fusion in XLA: Analysis and Evaluation
Operator Fusion in XLA: Analysis and Evaluation
Danielle Snider
Ruofan Liang
55
4
0
30 Jan 2023
Deep networks for system identification: a Survey
Deep networks for system identification: a Survey
G. Pillonetto
Aleksandr Aravkin
Daniel Gedon
L. Ljung
Antônio H. Ribeiro
Thomas B. Schon
OOD
109
45
0
30 Jan 2023
Reduced-Order Autodifferentiable Ensemble Kalman Filters
Reduced-Order Autodifferentiable Ensemble Kalman Filters
Yuming Chen
D. Sanz-Alonso
Rebecca Willett
71
10
0
27 Jan 2023
Light-Weight Pointcloud Representation with Sparse Gaussian Process
Light-Weight Pointcloud Representation with Sparse Gaussian Process
Mahmoud Ali
Lantao Liu
56
7
0
26 Jan 2023
Towards Robust Metrics for Concept Representation Evaluation
Towards Robust Metrics for Concept Representation Evaluation
M. Zarlenga
Pietro Barbiero
Z. Shams
Dmitry Kazhdan
Umang Bhatt
Adrian Weller
M. Jamnik
86
24
0
25 Jan 2023
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