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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 / 4,254 papers shown
Title
Ed-Fed: A generic federated learning framework with resource-aware
  client selection for edge devices
Ed-Fed: A generic federated learning framework with resource-aware client selection for edge devices
Zitha Sasindran
Harsha Yelchuri
T. V. Prabhakar
FedML
99
5
0
14 Jul 2023
Full-resolution Lung Nodule Segmentation from Chest X-ray Images using
  Residual Encoder-Decoder Networks
Full-resolution Lung Nodule Segmentation from Chest X-ray Images using Residual Encoder-Decoder Networks
M. J. Horry
Subrata Chakraborty
B. Pradhan
M. Paul
Jing Zhu
P. Barua
Usha R. Acharya
Fang Chen
Jianlong Zhou
MedIm
53
0
0
13 Jul 2023
Stochastic Delay Differential Games: Financial Modeling and Machine
  Learning Algorithms
Stochastic Delay Differential Games: Financial Modeling and Machine Learning Algorithms
R. Balkin
Héctor D. Ceniceros
Ruimeng Hu
46
2
0
12 Jul 2023
On Collaboration in Distributed Parameter Estimation with Resource
  Constraints
On Collaboration in Distributed Parameter Estimation with Resource Constraints
Y. Chen
Daniel S. Menasché
Don Towsley
72
0
0
12 Jul 2023
A Comprehensive Overview of Large Language Models
A Comprehensive Overview of Large Language Models
Humza Naveed
Asad Ullah Khan
Shi Qiu
Muhammad Saqib
Saeed Anwar
Muhammad Usman
Naveed Akhtar
Nick Barnes
Ajmal Mian
OffRL
261
628
0
12 Jul 2023
Operational Support Estimator Networks
Operational Support Estimator Networks
Mete Ahishali
Mehmet Yamaç
S. Kiranyaz
Moncef Gabbouj
102
1
0
12 Jul 2023
Pathway: a fast and flexible unified stream data processing framework
  for analytical and Machine Learning applications
Pathway: a fast and flexible unified stream data processing framework for analytical and Machine Learning applications
M. Bartoszkiewicz
J. Chorowski
A. Kosowski
Jakub M. Kowalski
S. Kulik
...
Krzysztof Nowicki
Kamila Piechowiak
Olivier Ruas
Zuzanna Stamirowska
P. Uznański
AI4TS
21
0
0
12 Jul 2023
Contrastive Learning for Conversion Rate Prediction
Contrastive Learning for Conversion Rate Prediction
W. Ouyang
Rui Dong
Xiuwu Zhang
Chao Guo
Jinmei Luo
Xiangzheng Liu
Yanlong Du
34
0
0
12 Jul 2023
tdCoxSNN: Time-Dependent Cox Survival Neural Network for Continuous-time
  Dynamic Prediction
tdCoxSNN: Time-Dependent Cox Survival Neural Network for Continuous-time Dynamic Prediction
Lang Zeng
Jipeng Zhang
Wei Chen
Ying Ding
31
2
0
12 Jul 2023
A DeepLearning Framework for Dynamic Estimation of Origin-Destination
  Sequence
A DeepLearning Framework for Dynamic Estimation of Origin-Destination Sequence
Zheli Xiong
Defu Lian
Enhong Chen
Gang Chen
Xiaomin Cheng
AI4TS
28
1
0
11 Jul 2023
PowerFusion: A Tensor Compiler with Explicit Data Movement Description
  and Instruction-level Graph IR
PowerFusion: A Tensor Compiler with Explicit Data Movement Description and Instruction-level Graph IR
Zixuan Ma
Haojie Wang
Jingze Xing
Liyan Zheng
Chen Zhang
Huanqi Cao
Kezhao Huang
Shizhi Tang
Penghan Wang
Jidong Zhai
GNN
68
1
0
11 Jul 2023
DyCL: Dynamic Neural Network Compilation Via Program Rewriting and Graph
  Optimization
DyCL: Dynamic Neural Network Compilation Via Program Rewriting and Graph Optimization
Simin Chen
Shiyi Wei
Cong Liu
Wei Yang
70
6
0
11 Jul 2023
Feature selection simultaneously preserving both class and cluster
  structures
Feature selection simultaneously preserving both class and cluster structures
Suchismita Das
Nikhil Pal
29
0
0
08 Jul 2023
Formulation Graphs for Mapping Structure-Composition of Battery
  Electrolytes to Device Performance
Formulation Graphs for Mapping Structure-Composition of Battery Electrolytes to Device Performance
Vidushi Sharma
Maxwell J. Giammona
Dmitry Zubarev
Andy Tek
Khanh Nugyuen
Linda Sundberg
D. Congiu
Young-Hye La
67
12
0
07 Jul 2023
FLuID: Mitigating Stragglers in Federated Learning using Invariant
  Dropout
FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout
Irene Wang
Prashant J. Nair
Divyat Mahajan
80
13
0
05 Jul 2023
LOB-Based Deep Learning Models for Stock Price Trend Prediction: A
  Benchmark Study
LOB-Based Deep Learning Models for Stock Price Trend Prediction: A Benchmark Study
Matteo Prata
Giuseppe Masi
Leonardo Berti
Viviana Arrigoni
Andrea Coletta
Irene Cannistraci
Svitlana Vyetrenko
Paola Velardi
N. Bartolini
110
11
0
05 Jul 2023
Towards Open Federated Learning Platforms: Survey and Vision from
  Technical and Legal Perspectives
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives
Moming Duan
Qinbin Li
Linshan Jiang
Bingsheng He
FedML
105
5
0
05 Jul 2023
Passive Query-Recovery Attack Against Secure Conjunctive Keyword Search
  Schemes
Passive Query-Recovery Attack Against Secure Conjunctive Keyword Search Schemes
Marco Dijkslag
Marc Damie
Florian Hahn
Andreas Peter
39
4
0
03 Jul 2023
Conformer LLMs -- Convolution Augmented Large Language Models
Conformer LLMs -- Convolution Augmented Large Language Models
Prateek Verma
62
1
0
02 Jul 2023
InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph
  Neural Network over Huge Graphs
InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs
Dalong Zhang
Xianzheng Song
Zhiyang Hu
Yang Li
Miao Tao
Binbin Hu
Lin Wang
Qing Cui
Jun Zhou
GNN
62
4
0
01 Jul 2023
GIRA: Gaussian Mixture Models for Inference and Robot Autonomy
GIRA: Gaussian Mixture Models for Inference and Robot Autonomy
K. Goel
Wennie Tabib
3DV
131
0
0
30 Jun 2023
ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation
ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation
Shuyang Sun
Weijun Wang
Qihang Yu
Andrew G. Howard
Philip Torr
Liang-Chieh Chen
105
15
0
29 Jun 2023
Identifying Important Sensory Feedback for Learning Locomotion Skills
Identifying Important Sensory Feedback for Learning Locomotion Skills
Wanming Yu
Chuanyu Yang
C. McGreavy
Eleftherios Triantafyllidis
Guillaume Bellegarda
M. Shafiee
A. Ijspeert
Zhibin Li
83
16
0
29 Jun 2023
BayesFlow: Amortized Bayesian Workflows With Neural Networks
BayesFlow: Amortized Bayesian Workflows With Neural Networks
Stefan T. Radev
Marvin Schmitt
Lukas Schumacher
Lasse Elsemüller
Valentin Pratz
Yannik Schalte
Ullrich Kothe
Paul-Christian Bürkner
BDL
109
32
0
28 Jun 2023
SparseOptimizer: Sparsify Language Models through Moreau-Yosida
  Regularization and Accelerate via Compiler Co-design
SparseOptimizer: Sparsify Language Models through Moreau-Yosida Regularization and Accelerate via Compiler Co-design
Fu-Ming Guo
MoE
117
0
0
27 Jun 2023
Im2win: Memory Efficient Convolution On SIMD Architectures
Im2win: Memory Efficient Convolution On SIMD Architectures
Shuai-bing Lu
Jun Chu
Xuantong Liu
43
4
0
25 Jun 2023
Im2win: An Efficient Convolution Paradigm on GPU
Im2win: An Efficient Convolution Paradigm on GPU
Shuai-bing Lu
Jun Chu
Luanzheng Guo
Xuantong Liu
43
1
0
25 Jun 2023
DiffMix: Diffusion Model-based Data Synthesis for Nuclei Segmentation
  and Classification in Imbalanced Pathology Image Datasets
DiffMix: Diffusion Model-based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets
Hyunwoo Oh
Won-Ki Jeong
MedImDiffM
64
31
0
25 Jun 2023
Physics-informed neural networks modeling for systems with moving
  immersed boundaries: application to an unsteady flow past a plunging foil
Physics-informed neural networks modeling for systems with moving immersed boundaries: application to an unsteady flow past a plunging foil
Rahul Sundar
Dipanjan Majumdar
Didier Lucor
Sunetra Sarkar
PINNAI4CE
70
8
0
23 Jun 2023
Learning Scene Flow With Skeleton Guidance For 3D Action Recognition
Learning Scene Flow With Skeleton Guidance For 3D Action Recognition
Vasileios Magoulianitis
A. Psaltis
3DH3DPC
122
0
0
23 Jun 2023
Triggering Dark Showers with Conditional Dual Auto-Encoders
Triggering Dark Showers with Conditional Dual Auto-Encoders
Luca Anzalone
S. S. Chhibra
B. Maier
N. Chernyavskaya
M. Pierini
AI4CE
62
4
0
22 Jun 2023
$λ$FS: A Scalable and Elastic Distributed File System Metadata
  Service using Serverless Functions
λλλFS: A Scalable and Elastic Distributed File System Metadata Service using Serverless Functions
Benjamin Carver
Runzhou Han
Jingyuan Zhang
Mai Zheng
Yue Cheng
34
4
0
20 Jun 2023
Supervised Auto-Encoding Twin-Bottleneck Hashing
Supervised Auto-Encoding Twin-Bottleneck Hashing
Yuan Chen
Stéphane Marchand-Maillet
62
0
0
19 Jun 2023
Deep Huber quantile regression networks
Deep Huber quantile regression networks
Hristos Tyralis
Georgia Papacharalampous
N. Dogulu
Kwok-Pan Chun
UQCV
145
2
0
17 Jun 2023
Bootstrapped Representations in Reinforcement Learning
Bootstrapped Representations in Reinforcement Learning
Charline Le Lan
Stephen Tu
Mark Rowland
Anna Harutyunyan
Rishabh Agarwal
Marc G. Bellemare
Will Dabney
OffRLOODSSL
140
10
0
16 Jun 2023
MobileASR: A resource-aware on-device learning framework for user voice
  personalization applications on mobile phones
MobileASR: A resource-aware on-device learning framework for user voice personalization applications on mobile phones
Zitha Sasindran
Harsha Yelchuri
Pooja S B. Rao
Prabhakar Venkata Tamma
64
1
0
15 Jun 2023
Improving Image Tracing with Convolutional Autoencoders by High-Pass
  Filter Preprocessing
Improving Image Tracing with Convolutional Autoencoders by High-Pass Filter Preprocessing
Zineddine Bettouche
Andreas Fischer
20
1
0
15 Jun 2023
Exploring Resolution Fields for Scalable Image Compression with
  Uncertainty Guidance
Exploring Resolution Fields for Scalable Image Compression with Uncertainty Guidance
Dongyi Zhang
Feng Li
Man Liu
Runmin Cong
H. Bai
Ming Wang
Yao-Min Zhao
67
8
0
15 Jun 2023
ArchGym: An Open-Source Gymnasium for Machine Learning Assisted
  Architecture Design
ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design
Srivatsan Krishnan
Amir Yazdanbaksh
Shvetank Prakash
Jason J. Jabbour
Ikechukwu Uchendu
...
Behzad Boroujerdian
Daniel Richins
Devashree Tripathy
Aleksandra Faust
Vijay Janapa Reddi
116
14
0
15 Jun 2023
Naeural AI OS -- Decentralized ubiquitous computing MLOps execution engine
Naeural AI OS -- Decentralized ubiquitous computing MLOps execution engine
Beatrice Milik
S. Saraev
Cristian Bleotiu
Radu Lupaescu
91
0
0
14 Jun 2023
Effects of Data Enrichment with Image Transformations on the Performance
  of Deep Networks
Effects of Data Enrichment with Image Transformations on the Performance of Deep Networks
Hakan Temiz
MDE3DH
46
1
0
13 Jun 2023
Towards a Machine-Learned Poisson Solver for Low-Temperature Plasma
  Simulations in Complex Geometries
Towards a Machine-Learned Poisson Solver for Low-Temperature Plasma Simulations in Complex Geometries
Ihda Chaerony Siffa
M. Becker
K. Weltmann
J. Trieschmann
64
3
0
13 Jun 2023
Differentiable Multi-Fidelity Fusion: Efficient Learning of Physics
  Simulations with Neural Architecture Search and Transfer Learning
Differentiable Multi-Fidelity Fusion: Efficient Learning of Physics Simulations with Neural Architecture Search and Transfer Learning
Yuwen Deng
Wang Kang
Wei W. Xing
OODAI4CE
73
0
0
12 Jun 2023
Toward Fair Facial Expression Recognition with Improved Distribution
  Alignment
Toward Fair Facial Expression Recognition with Improved Distribution Alignment
Mojtaba Kolahdouzi
Ali Etemad
59
2
0
11 Jun 2023
S$^{3}$: Increasing GPU Utilization during Generative Inference for
  Higher Throughput
S3^{3}3: Increasing GPU Utilization during Generative Inference for Higher Throughput
Yunho Jin
Chun-Feng Wu
David Brooks
Gu-Yeon Wei
110
71
0
09 Jun 2023
Scaling Spherical CNNs
Scaling Spherical CNNs
Carlos Esteves
Jean-Jacques E. Slotine
A. Makadia
GNNLRM
85
14
0
08 Jun 2023
EMO: Episodic Memory Optimization for Few-Shot Meta-Learning
EMO: Episodic Memory Optimization for Few-Shot Meta-Learning
Yingjun Du
Jiayi Shen
Xiantong Zhen
Cees G. M. Snoek
74
1
0
08 Jun 2023
Online Multi-Contact Receding Horizon Planning via Value Function
  Approximation
Online Multi-Contact Receding Horizon Planning via Value Function Approximation
Jiayi Wang
Sanghyun Kim
Teguh Santoso Lembono
Wenqian Du
Jae-Koo Shim
...
Ke Min Wang
V. Ivan
Sylvain Calinon
S. Vijayakumar
Steve Tonneau
54
5
0
07 Jun 2023
Git-Theta: A Git Extension for Collaborative Development of Machine
  Learning Models
Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models
Nikhil Kandpal
Brian Lester
Mohammed Muqeeth
Anisha Mascarenhas
Monty Evans
Vishal Baskaran
Tenghao Huang
Haokun Liu
Colin Raffel
VLM
75
12
0
07 Jun 2023
Model Spider: Learning to Rank Pre-Trained Models Efficiently
Model Spider: Learning to Rank Pre-Trained Models Efficiently
Yi-Kai Zhang
Ting Huang
Yao-Xiang Ding
De-Chuan Zhan
Han-Jia Ye
119
29
0
06 Jun 2023
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