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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
Transformer Architecture for NetsDB
Transformer Architecture for NetsDB
Subodh Kamble
Kunal Sunil Kasodekar
AI4CE
40
0
0
08 May 2024
When Foresight Pruning Meets Zeroth-Order Optimization: Efficient
  Federated Learning for Low-Memory Devices
When Foresight Pruning Meets Zeroth-Order Optimization: Efficient Federated Learning for Low-Memory Devices
Peng Zhang
Yingjie Liu
Yingbo Zhou
Xiao Du
Xian Wei
Ting Wang
Mingsong Chen
FedML
49
2
0
08 May 2024
Direct Training High-Performance Deep Spiking Neural Networks: A Review
  of Theories and Methods
Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods
Chenlin Zhou
Han Zhang
Liutao Yu
Yumin Ye
Zhaokun Zhou
Liwei Huang
Zhengyu Ma
Xiaopeng Fan
Huihui Zhou
Yonghong Tian
116
14
0
06 May 2024
FOBNN: Fast Oblivious Binarized Neural Network Inference
FOBNN: Fast Oblivious Binarized Neural Network Inference
Xin Chen
Zhili Chen
Benchang Dong
Shiwen Wei
Lin Chen
Daojing He
FedML
51
2
0
06 May 2024
BetterNet: An Efficient CNN Architecture with Residual Learning and
  Attention for Precision Polyp Segmentation
BetterNet: An Efficient CNN Architecture with Residual Learning and Attention for Precision Polyp Segmentation
Owen Singh
S. S. Sengar
43
3
0
05 May 2024
DiffusionPipe: Training Large Diffusion Models with Efficient Pipelines
DiffusionPipe: Training Large Diffusion Models with Efficient Pipelines
Ye Tian
Zhen Jia
Ziyue Luo
Yida Wang
Chuan Wu
AI4CE
48
4
0
02 May 2024
One-Shot Image Restoration
One-Shot Image Restoration
Deborah Pereg
SupR
111
2
0
26 Apr 2024
Identifying phase transitions in physical systems with neural networks:
  a neural architecture search perspective
Identifying phase transitions in physical systems with neural networks: a neural architecture search perspective
R. C. Terin
Z. G. Arenas
Roberto Santana
62
1
0
23 Apr 2024
EncodeNet: A Framework for Boosting DNN Accuracy with Entropy-driven
  Generalized Converting Autoencoder
EncodeNet: A Framework for Boosting DNN Accuracy with Entropy-driven Generalized Converting Autoencoder
Hasanul Mahmud
Kevin Desai
P. Lama
Sushil Prasad
85
0
0
21 Apr 2024
Social Media Use is Predictable from App Sequences: Using LSTM and
  Transformer Neural Networks to Model Habitual Behavior
Social Media Use is Predictable from App Sequences: Using LSTM and Transformer Neural Networks to Model Habitual Behavior
Heinrich Peters
Joseph B. Bayer
S. C. Matz
Yikun Chi
S. Vaid
Gabriella M. Harari
88
4
0
20 Apr 2024
Computer-Aided Diagnosis of Thoracic Diseases in Chest X-rays using
  hybrid CNN-Transformer Architecture
Computer-Aided Diagnosis of Thoracic Diseases in Chest X-rays using hybrid CNN-Transformer Architecture
Sonit Singh
MedImViT
53
1
0
18 Apr 2024
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
Siyi Lin
Chongming Gao
Jiawei Chen
Sheng Zhou
Binbin Hu
Yan Feng
Chun-Yen Chen
Can Wang
171
8
0
18 Apr 2024
End-to-End Mesh Optimization of a Hybrid Deep Learning Black-Box PDE
  Solver
End-to-End Mesh Optimization of a Hybrid Deep Learning Black-Box PDE Solver
Shaocong Ma
James Diffenderfer
B. Kailkhura
Yi Zhou
AI4CE
118
0
0
17 Apr 2024
Accelerating Geo-distributed Machine Learning with Network-Aware
  Adaptive Tree and Auxiliary Route
Accelerating Geo-distributed Machine Learning with Network-Aware Adaptive Tree and Auxiliary Route
Zonghang Li
Wenjiao Feng
Weibo Cai
Hong-Fang Yu
Long Luo
Gang Sun
Hongyang Du
Dusit Niyato
48
5
0
17 Apr 2024
Optimal Kernel Tuning Parameter Prediction using Deep Sequence Models
Optimal Kernel Tuning Parameter Prediction using Deep Sequence Models
Khawir Mahmood
Jehandad Khan
Hammad Afzal
47
0
0
15 Apr 2024
Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User
  Behavior Representation to the Scenario Context
Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context
Moyu Zhang
Yong Tang
Jinxin Hu
Yu Zhang
AI4TS
93
1
0
15 Apr 2024
AntDT: A Self-Adaptive Distributed Training Framework for Leader and
  Straggler Nodes
AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes
Youshao Xiao
Lin Ju
Zhenglei Zhou
Siyuan Li
Zhaoxin Huan
...
Rujie Jiang
Lin Wang
Xiaolu Zhang
Lei Liang
Jun Zhou
59
1
0
15 Apr 2024
On Optimal Server Allocation for Moldable Jobs with Concave Speed-Up
On Optimal Server Allocation for Moldable Jobs with Concave Speed-Up
Samira Ghanbarian
Arpan Mukhopadhyay
Ravi R. Mazumdar
Fabrice M. Guillemin
65
0
0
15 Apr 2024
Bullion: A Column Store for Machine Learning
Bullion: A Column Store for Machine Learning
Gang Liao
Ye Liu
Jianjun Chen
Daniel J. Abadi
77
5
0
13 Apr 2024
ONNXPruner: ONNX-Based General Model Pruning Adapter
ONNXPruner: ONNX-Based General Model Pruning Adapter
Dongdong Ren
Wenbin Li
Tianyu Ding
Lei Wang
Qi Fan
Jing Huo
Hongbing Pan
Yang Gao
95
3
0
10 Apr 2024
pfl-research: simulation framework for accelerating research in Private
  Federated Learning
pfl-research: simulation framework for accelerating research in Private Federated Learning
Filip Granqvist
Congzheng Song
Áine Cahill
Rogier van Dalen
Martin Pelikan
Yi Sheng Chan
Xiaojun Feng
Natarajan Krishnaswami
Vojta Jina
Mona Chitnis
FedML
88
6
0
09 Apr 2024
Deep Learning-Based Out-of-distribution Source Code Data Identification:
  How Far Have We Gone?
Deep Learning-Based Out-of-distribution Source Code Data Identification: How Far Have We Gone?
Van Nguyen
Xingliang Yuan
Tingmin Wu
Surya Nepal
M. Grobler
Carsten Rudolph
86
1
0
09 Apr 2024
Lightweight Deep Learning for Resource-Constrained Environments: A
  Survey
Lightweight Deep Learning for Resource-Constrained Environments: A Survey
Hou-I Liu
Marco Galindo
Hongxia Xie
Lai-Kuan Wong
Hong-Han Shuai
Yung-Hui Li
Wen-Huang Cheng
134
67
0
08 Apr 2024
Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval
Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval
Jinpeng Wang
Bin Chen
Qiang Zhang
Zaiqiao Meng
Shangsong Liang
Shutao Xia
74
12
0
07 Apr 2024
GNNBENCH: Fair and Productive Benchmarking for Single-GPU GNN System
GNNBENCH: Fair and Productive Benchmarking for Single-GPU GNN System
Yidong Gong
Pradeep Kumar
GNN
46
4
0
05 Apr 2024
Optimizing the Deployment of Tiny Transformers on Low-Power MCUs
Optimizing the Deployment of Tiny Transformers on Low-Power MCUs
Victor J. B. Jung
Luca Bompani
Moritz Scherer
Francesco Conti
Luca Benini
117
5
0
03 Apr 2024
A shared compilation stack for distributed-memory parallelism in stencil
  DSLs
A shared compilation stack for distributed-memory parallelism in stencil DSLs
George Bisbas
Anton Lydike
Emilien Bauer
Nick M. Brown
Mathieu Fehr
...
Gabriel Rodriguez-Canal
Maurice Jamieson
Paul H. J. Kelly
Michel Steuwer
Tobias Grosser
119
4
0
02 Apr 2024
Multi-Stage Multi-Modal Pre-Training for Automatic Speech Recognition
Multi-Stage Multi-Modal Pre-Training for Automatic Speech Recognition
Yash Jain
David M. Chan
Pranav Dheram
Aparna Khare
Olabanji Shonibare
Venkatesh Ravichandran
Shalini Ghosh
75
2
0
28 Mar 2024
Tiny Machine Learning: Progress and Futures
Tiny Machine Learning: Progress and Futures
Ji Lin
Ligeng Zhu
Wei-Ming Chen
Wei-Chen Wang
Song Han
90
60
0
28 Mar 2024
Masked Multi-Domain Network: Multi-Type and Multi-Scenario Conversion
  Rate Prediction with a Single Model
Masked Multi-Domain Network: Multi-Type and Multi-Scenario Conversion Rate Prediction with a Single Model
Wentao Ouyang
Xiuwu Zhang
Chao Guo
Shukui Ren
Yupei Sui
...
Jinmei Luo
Yunfeng Chen
Dongbo Xu
Xiangzheng Liu
Yanlong Du
42
3
0
26 Mar 2024
Leveraging Deep Learning and Xception Architecture for High-Accuracy MRI
  Classification in Alzheimer Diagnosis
Leveraging Deep Learning and Xception Architecture for High-Accuracy MRI Classification in Alzheimer Diagnosis
Shaojie Li
Haichen Qu
Xinqi Dong
Bo Dang
Hengyi Zang
Yulu Gong
84
11
0
24 Mar 2024
Parcae: Proactive, Liveput-Optimized DNN Training on Preemptible
  Instances
Parcae: Proactive, Liveput-Optimized DNN Training on Preemptible Instances
Jiangfei Duan
Ziang Song
Xupeng Miao
Xiaoli Xi
Dahua Lin
Harry Xu
Minjia Zhang
Zhihao Jia
79
11
0
21 Mar 2024
Recent Advances in 3D Gaussian Splatting
Recent Advances in 3D Gaussian Splatting
Tong Wu
Yu-Jie Yuan
Ling-Xiao Zhang
Jie Yang
Yan-Pei Cao
Ling-Qi Yan
Lin Gao
3DGS
157
106
0
17 Mar 2024
JaxDecompiler: Redefining Gradient-Informed Software Design
JaxDecompiler: Redefining Gradient-Informed Software Design
Pierrick Pochelu
34
0
0
14 Mar 2024
Moments of Clarity: Streamlining Latent Spaces in Machine Learning using
  Moment Pooling
Moments of Clarity: Streamlining Latent Spaces in Machine Learning using Moment Pooling
Rikab Gambhir
Athis Osathapan
Jesse Thaler
79
3
0
13 Mar 2024
Mondrian: On-Device High-Performance Video Analytics with Compressive
  Packed Inference
Mondrian: On-Device High-Performance Video Analytics with Compressive Packed Inference
Changmin Jeon
Seonjun Kim
Juheon Yi
Youngki Lee
105
1
0
12 Mar 2024
Reconstructions of Jupiter's magnetic field using physics informed
  neural networks
Reconstructions of Jupiter's magnetic field using physics informed neural networks
P. Livermore
Leyuan Wu
Longwei Chen
Sjoerd A. L. Ridder
43
1
0
12 Mar 2024
Accelerating Sparse Tensor Decomposition Using Adaptive Linearized
  Representation
Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation
Jan Laukemann
Ahmed E. Helal
S. I. G. Anderson
Fabio Checconi
Yongseok Soh
Jesmin Jahan Tithi
Teresa M. Ranadive
Brian J Gravelle
Fabrizio Petrini
Jeewhan Choi
31
1
0
11 Mar 2024
Augmentations vs Algorithms: What Works in Self-Supervised Learning
Augmentations vs Algorithms: What Works in Self-Supervised Learning
Warren Morningstar
Alex Bijamov
Chris Duvarney
Luke Friedman
Neha Kalibhat
...
Philip Mansfield
Renan A. Rojas-Gomez
Karan Singhal
Bradley Green
Sushant Prakash
SSL
77
12
0
08 Mar 2024
Hyperspectral unmixing for Raman spectroscopy via physics-constrained
  autoencoders
Hyperspectral unmixing for Raman spectroscopy via physics-constrained autoencoders
Dimitar Georgiev
Álvaro Fernández-Galiana
Simon Vilms Pedersen
Georgios Papadopoulos
Ruoxiao Xie
Molly M. Stevens
Mauricio Barahona
68
6
0
07 Mar 2024
A mechanism-driven reinforcement learning framework for shape
  optimization of airfoils
A mechanism-driven reinforcement learning framework for shape optimization of airfoils
Jingfeng Wang
Guanghui Hu
53
1
0
07 Mar 2024
Quantum Mixed-State Self-Attention Network
Quantum Mixed-State Self-Attention Network
Fu Chen
Qinglin Zhao
Li Feng
Chuangtao Chen
Yangbin Lin
Jianhong Lin
93
6
0
05 Mar 2024
PI-AstroDeconv: A Physics-Informed Unsupervised Learning Method for
  Astronomical Image Deconvolution
PI-AstroDeconv: A Physics-Informed Unsupervised Learning Method for Astronomical Image Deconvolution
Shulei Ni
Yisheng Qiu
Yunchun Chen
Zihao Song
Hao Chen
Xuejian Jiang
Huaxi Chen
40
1
0
04 Mar 2024
Shifted Interpolation for Differential Privacy
Shifted Interpolation for Differential Privacy
Jinho Bok
Weijie Su
Jason M. Altschuler
125
9
0
01 Mar 2024
SoD$^2$: Statically Optimizing Dynamic Deep Neural Network
SoD2^22: Statically Optimizing Dynamic Deep Neural Network
Wei Niu
Gagan Agrawal
Bin Ren
79
5
0
29 Feb 2024
Using AI libraries for Incompressible Computational Fluid Dynamics
Using AI libraries for Incompressible Computational Fluid Dynamics
Boyang Chen
Claire E. Heaney
Christopher C. Pain
AI4CE
87
5
0
27 Feb 2024
Compass: A Decentralized Scheduler for Latency-Sensitive ML Workflows
Compass: A Decentralized Scheduler for Latency-Sensitive ML Workflows
Yuting Yang
Andrea Merlina
Weijia Song
Tiancheng Yuan
Ken Birman
Roman Vitenberg
68
0
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27 Feb 2024
An Innovative Information Theory-based Approach to Tackle and Enhance
  The Transparency in Phishing Detection
An Innovative Information Theory-based Approach to Tackle and Enhance The Transparency in Phishing Detection
Van Nguyen
Tingmin Wu
Xingliang Yuan
M. Grobler
Surya Nepal
Carsten Rudolph
AAML
73
0
0
27 Feb 2024
Domain Embeddings for Generating Complex Descriptions of Concepts in
  Italian Language
Domain Embeddings for Generating Complex Descriptions of Concepts in Italian Language
Alessandro Maisto
44
0
0
26 Feb 2024
Multimodal Sleep Apnea Detection with Missing or Noisy Modalities
Multimodal Sleep Apnea Detection with Missing or Noisy Modalities
Hamed Fayyaz
Abigail Strang
N. S. D'Souza
Rahmatollah Beheshti
72
0
0
24 Feb 2024
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