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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 / 4,252 papers shown
Title
Scalable Weibull Graph Attention Autoencoder for Modeling Document
  Networks
Scalable Weibull Graph Attention Autoencoder for Modeling Document Networks
Changbo Wang
Xinyang Liu
Dongsheng Wang
Hao Zhang
Bo Chen
Mingyuan Zhou
BDL
72
0
0
13 Oct 2024
EPi-cKANs: Elasto-Plasticity Informed Kolmogorov-Arnold Networks Using
  Chebyshev Polynomials
EPi-cKANs: Elasto-Plasticity Informed Kolmogorov-Arnold Networks Using Chebyshev Polynomials
Farinaz Mostajeran
Salah A Faroughi
106
7
0
12 Oct 2024
Aligning Motion-Blurred Images Using Contrastive Learning on
  Overcomplete Pixels
Aligning Motion-Blurred Images Using Contrastive Learning on Overcomplete Pixels
Leonid Pogorelyuk
Stefan T. Radev
62
0
0
09 Oct 2024
A Survey: Collaborative Hardware and Software Design in the Era of Large
  Language Models
A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models
Cong Guo
Feng Cheng
Zhixu Du
James Kiessling
Jonathan Ku
...
Qilin Zheng
Guanglei Zhou
Hai
Li-Wei Li
Yiran Chen
60
7
0
08 Oct 2024
A second-order-like optimizer with adaptive gradient scaling for deep
  learning
A second-order-like optimizer with adaptive gradient scaling for deep learning
Jérôme Bolte
Ryan Boustany
Edouard Pauwels
Andrei Purica
ODL
67
0
0
08 Oct 2024
Optimizing Tensor Computation Graphs with Equality Saturation and Monte
  Carlo Tree Search
Optimizing Tensor Computation Graphs with Equality Saturation and Monte Carlo Tree Search
Jakob Hartmann
Guoliang He
Eiko Yoneki
63
0
0
07 Oct 2024
Distribution Guided Active Feature Acquisition
Distribution Guided Active Feature Acquisition
Yang Li
Junier Oliva
71
0
0
04 Oct 2024
Spatial Hyperspheric Models for Compositional Data
Spatial Hyperspheric Models for Compositional Data
Michael R. Schwob
Mevin B. Hooten
Nicholas M. Calzada
57
0
0
04 Oct 2024
EinDecomp: Decomposition of Declaratively-Specified Machine Learning and
  Numerical Computations for Parallel Execution
EinDecomp: Decomposition of Declaratively-Specified Machine Learning and Numerical Computations for Parallel Execution
Daniel Bourgeois
Zhimin Ding
Dimitrije Jankov
Jiehui Li
Mahmoud Sleem
Yuxin Tang
Jiawen Yao
Xinyu Yao
Chris Jermaine
43
2
0
03 Oct 2024
ConServe: Harvesting GPUs for Low-Latency and High-Throughput Large
  Language Model Serving
ConServe: Harvesting GPUs for Low-Latency and High-Throughput Large Language Model Serving
Yifan Qiao
Shu Anzai
Shan Yu
Haoran Ma
Yang Wang
Miryung Kim
Harry Xu
59
4
0
02 Oct 2024
Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations
  at Test-Time
Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-Time
Chiao-An Yang
Ziwei Liu
Raymond A. Yeh
61
1
0
01 Oct 2024
Accelerating PoT Quantization on Edge Devices
Accelerating PoT Quantization on Edge Devices
Rappy Saha
Jude Haris
José Cano
MQ
59
0
0
30 Sep 2024
Unifying back-propagation and forward-forward algorithms through model
  predictive control
Unifying back-propagation and forward-forward algorithms through model predictive control
Lianhai Ren
Qianxiao Li
87
1
0
29 Sep 2024
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models
Haolin Li
Yuhang Zhou
Ziheng Zhao
Siyuan Du
Jiangchao Yao
Weidi Xie
Ya Zhang
Yanfeng Wang
74
1
0
29 Sep 2024
LightAvatar: Efficient Head Avatar as Dynamic Neural Light Field
LightAvatar: Efficient Head Avatar as Dynamic Neural Light Field
Huan Wang
Feitong Tan
Ziqian Bai
Yinda Zhang
Shichen Liu
...
Anish Prabhu
Rohit Pandey
S. Fanello
Zeng Huang
Yun Fu
50
1
0
26 Sep 2024
Flexible Swapping for the Cloud
Flexible Swapping for the Cloud
Milan Pandurov
Lukas Humbel
Dmitry Sepp
Adamos Ttofari
Leon Thomm
...
Shai Bergman
Wei Wang
Sven Lundgren
Konstantinos Sagonas
Alberto Ros
VLM
26
0
0
20 Sep 2024
pyrtklib: An open-source package for tightly coupled deep learning and
  GNSS integration for positioning in urban canyons
pyrtklib: An open-source package for tightly coupled deep learning and GNSS integration for positioning in urban canyons
Runzhi Hu
Penghui Xu
Yihan Zhong
W. Wen
50
1
0
19 Sep 2024
Efficient Low-Resolution Face Recognition via Bridge Distillation
Efficient Low-Resolution Face Recognition via Bridge Distillation
Shiming Ge
Shengwei Zhao
Chenyu Li
Yu Zhang
Jia Li
CVBM
106
59
0
18 Sep 2024
Inferno: An Extensible Framework for Spiking Neural Networks
Inferno: An Extensible Framework for Spiking Neural Networks
Marissa Dominijanni
BDL
71
0
0
17 Sep 2024
Time-Distributed Feature Learning for Internet of Things Network Traffic
  Classification
Time-Distributed Feature Learning for Internet of Things Network Traffic Classification
Yoga Suhas Kuruba Manjunath
Sihao Zhao
Xiao-Ping Zhang
Lian Zhao
38
3
0
08 Sep 2024
Improving Electrolyte Performance for Target Cathode Loading Using
  Interpretable Data-Driven Approach
Improving Electrolyte Performance for Target Cathode Loading Using Interpretable Data-Driven Approach
Vidushi Sharma
Andy Tek
Khanh Nguyen
Max Giammona
Murtaza Zohair
Linda Sundberg
Young-Hye La
50
3
0
03 Sep 2024
Securing Federated Learning in Robot Swarms using Blockchain Technology
Securing Federated Learning in Robot Swarms using Blockchain Technology
Alexandre Pacheco
Sébastien De Vos
Andreagiovanni Reina
Marco Dorigo
Volker Strobel
53
0
0
03 Sep 2024
Vortex: Efficient Sample-Free Dynamic Tensor Program Optimization via
  Hardware-aware Strategy Space Hierarchization
Vortex: Efficient Sample-Free Dynamic Tensor Program Optimization via Hardware-aware Strategy Space Hierarchization
Yangjie Zhou
Honglin Zhu
Qian Qiu
Weihao Cui
Zihan Liu
...
Jintao Meng
Haidong Lan
Jingwen Leng
Wenxi Zhu
Minwen Deng
81
0
0
02 Sep 2024
Harnessing Artificial Intelligence for Wildlife Conservation
Harnessing Artificial Intelligence for Wildlife Conservation
Paul Fergus
C. Chalmers
Steve Longmore
Serge Wich
98
8
0
30 Aug 2024
Coalitions of AI-based Methods Predict 15-Year Risks of Breast Cancer
  Metastasis Using Real-World Clinical Data with AUC up to 0.9
Coalitions of AI-based Methods Predict 15-Year Risks of Breast Cancer Metastasis Using Real-World Clinical Data with AUC up to 0.9
Xia Jiang
Yijun Zhou
Alan Wells
A. Brufsky
OODAI4CE
63
0
0
29 Aug 2024
GNN: Graph Neural Network and Large Language Model for Data Discovery
GNN: Graph Neural Network and Large Language Model for Data Discovery
Thomas Hoang
32
1
0
24 Aug 2024
Parameterized Physics-informed Neural Networks for Parameterized PDEs
Parameterized Physics-informed Neural Networks for Parameterized PDEs
Woojin Cho
Minju Jo
Haksoo Lim
Kookjin Lee
Dongeun Lee
Sanghyun Hong
Noseong Park
PINNAI4CE
102
19
1
18 Aug 2024
Pessimistic Iterative Planning for Robust POMDPs
Pessimistic Iterative Planning for Robust POMDPs
Maris F. L. Galesloot
Marnix Suilen
T. D. Simão
Steven Carr
M. Spaan
Ufuk Topcu
Nils Jansen
70
2
0
16 Aug 2024
OptDist: Learning Optimal Distribution for Customer Lifetime Value
  Prediction
OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction
Yunpeng Weng
Xing Tang
Zhenhao Xu
Fuyuan Lyu
Dugang Liu
Zexu Sun
Xiuqiang He
76
4
0
16 Aug 2024
MobileMEF: Fast and Efficient Method for Multi-Exposure Fusion
MobileMEF: Fast and Efficient Method for Multi-Exposure Fusion
L. N. Kirsten
Zhicheng Fu
Nikhil Ambha Madhusudhana
129
1
0
15 Aug 2024
Oja's plasticity rule overcomes several challenges of training neural networks under biological constraints
Oja's plasticity rule overcomes several challenges of training neural networks under biological constraints
Navid Shervani-Tabar
Marzieh Alireza Mirhoseini
Robert Rosenbaum
AAMLAI4CE
124
0
0
15 Aug 2024
Palantir: Towards Efficient Super Resolution for Ultra-high-definition
  Live Streaming
Palantir: Towards Efficient Super Resolution for Ultra-high-definition Live Streaming
Xinqi Jin
Zhui Zhu
Xikai Sun
Fan Dang
Jiangchuan Liu
Jingao Xu
Kebin Liu
Xinlei Chen
Yunhao Liu
57
0
0
12 Aug 2024
Extracting Urban Sound Information for Residential Areas in Smart Cities
  Using an End-to-End IoT System
Extracting Urban Sound Information for Residential Areas in Smart Cities Using an End-to-End IoT System
Ee-Leng Tan
Furi Andi Karnapi
L. Ng
Kenneth Ooi
Woon-Seng Gan
35
18
0
11 Aug 2024
Forecasting Day-Ahead Electricity Prices in the Integrated Single
  Electricity Market: Addressing Volatility with Comparative Machine Learning
  Methods
Forecasting Day-Ahead Electricity Prices in the Integrated Single Electricity Market: Addressing Volatility with Comparative Machine Learning Methods
Ben Harkin
Xueqin Liu
63
0
0
10 Aug 2024
LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference
  Serving at Scale
LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale
Jaehong Cho
Minsu Kim
Hyunmin Choi
Guseul Heo
Jongse Park
108
7
0
10 Aug 2024
HiQuE: Hierarchical Question Embedding Network for Multimodal Depression
  Detection
HiQuE: Hierarchical Question Embedding Network for Multimodal Depression Detection
Juho Jung
Chaewon Kang
Jeewoo Yoon
Seungbae Kim
Jinyoung Han
92
7
0
07 Aug 2024
Improving the quality of Persian clinical text with a novel spelling
  correction system
Improving the quality of Persian clinical text with a novel spelling correction system
Seyed Mohammad Sadegh Dashti
S. F. Dashti
89
0
0
07 Aug 2024
Inference Optimizations for Large Language Models: Effects, Challenges,
  and Practical Considerations
Inference Optimizations for Large Language Models: Effects, Challenges, and Practical Considerations
Leo Donisch
Sigurd Schacht
Carsten Lanquillon
81
2
0
06 Aug 2024
Interpretation of the Intent Detection Problem as Dynamics in a
  Low-dimensional Space
Interpretation of the Intent Detection Problem as Dynamics in a Low-dimensional Space
Eduardo Sánchez-Karhunen
Jose F. Quesada-Moreno
Miguel A. Gutiérrez-Naranjo
23
0
0
05 Aug 2024
Neural Term Structure of Additive Process for Option Pricing
Neural Term Structure of Additive Process for Option Pricing
Jimin Lin
Guixin Liu
32
0
0
03 Aug 2024
High Performance Im2win and Direct Convolutions using Three Tensor
  Layouts on SIMD Architectures
High Performance Im2win and Direct Convolutions using Three Tensor Layouts on SIMD Architectures
Xiang Fu
Xinpeng Zhang
Jixiang Ma
Peng Zhao
Shuai-bing Lu
Xu T. Liu
3DV
52
0
0
01 Aug 2024
LiteEFG: An Efficient Python Library for Solving Extensive-form Games
LiteEFG: An Efficient Python Library for Solving Extensive-form Games
Mingyang Liu
Gabriele Farina
Asuman Ozdaglar
64
2
0
29 Jul 2024
Efficient Training of Large Language Models on Distributed
  Infrastructures: A Survey
Efficient Training of Large Language Models on Distributed Infrastructures: A Survey
Jiangfei Duan
Shuo Zhang
Zerui Wang
Lijuan Jiang
Wenwen Qu
...
Dahua Lin
Yonggang Wen
Xin Jin
Tianwei Zhang
Peng Sun
159
13
0
29 Jul 2024
Neural networks for bifurcation and linear stability analysis of steady
  states in partial differential equations
Neural networks for bifurcation and linear stability analysis of steady states in partial differential equations
M. L. Shahab
Hadi Susanto
63
2
0
29 Jul 2024
NAVIX: Scaling MiniGrid Environments with JAX
NAVIX: Scaling MiniGrid Environments with JAX
Eduardo Pignatelli
Jarek Liesen
R. T. Lange
Chris Xiaoxuan Lu
Pablo Samuel Castro
Laura Toni
142
4
0
28 Jul 2024
Deep State-Space Generative Model For Correlated Time-to-Event
  Predictions
Deep State-Space Generative Model For Correlated Time-to-Event Predictions
Yuan Xue
Denny Zhou
Nan Du
Andrew M. Dai
Zhen Xu
Kun Zhang
Claire Cui
122
8
0
28 Jul 2024
Learning to Select the Best Forecasting Tasks for Clinical Outcome
  Prediction
Learning to Select the Best Forecasting Tasks for Clinical Outcome Prediction
Yuan Xue
Nan Du
A. Mottram
Martin G. Seneviratne
Andrew M. Dai
AI4TS
92
0
0
28 Jul 2024
Ordered Momentum for Asynchronous SGD
Ordered Momentum for Asynchronous SGD
Chang-Wei Shi
Yi-Rui Yang
Wu-Jun Li
ODL
169
0
0
27 Jul 2024
Impact of Recurrent Neural Networks and Deep Learning Frameworks on
  Real-time Lightweight Time Series Anomaly Detection
Impact of Recurrent Neural Networks and Deep Learning Frameworks on Real-time Lightweight Time Series Anomaly Detection
Ming-Chang Lee
Jia-Chun Lin
Sokratis K. Katsikas
AI4TS
59
2
0
26 Jul 2024
StraightLine: An End-to-End Resource-Aware Scheduler for Machine
  Learning Application Requests
StraightLine: An End-to-End Resource-Aware Scheduler for Machine Learning Application Requests
Cheng-Wei Ching
Boyuan Guan
Hailu Xu
Liting Hu
VLMAI4TSHAI
72
0
0
25 Jul 2024
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