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TensorFlow: A system for large-scale machine learning

TensorFlow: A system for large-scale machine learning

27 May 2016
Martín Abadi
P. Barham
Jianmin Chen
Zhehuai 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
    GNN
    AI4CE
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Papers citing "TensorFlow: A system for large-scale machine learning"

50 / 3,448 papers shown
Title
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
16
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
18
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
AI4CE
GNN
37
7
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
29
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
57
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
28
19
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
11
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
26
9
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
36
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
40
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
28
10
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
58
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
35
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
37
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
39
11
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
17
1
0
20 Nov 2023
Tensor-Aware Energy Accounting
Tensor-Aware Energy Accounting
Timur Babakol
Yu David Liu
21
3
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
36
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
26
1
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
57
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
24
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
34
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
26
0
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
34
0
0
07 Nov 2023
Machine learning's own Industrial Revolution
Machine learning's own Industrial Revolution
Yuan Luo
Song Han
Jingjing Liu
AI4CE
23
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
35
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
33
4
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
32
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
47
9
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
11
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
23
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
34
2
0
30 Oct 2023
There Are No Data Like More Data- Datasets for Deep Learning in Earth
  Observation
There Are No Data Like More Data- Datasets for Deep Learning in Earth Observation
Michael Schmitt
S. A. Ahmadi
Yonghao Xu
G. Taşkın
Ujjwal Verma
F. Sica
Ronny Hansch
23
24
0
30 Oct 2023
TorchDEQ: A Library for Deep Equilibrium Models
TorchDEQ: A Library for Deep Equilibrium Models
Zhengyang Geng
J. Zico Kolter
VLM
62
12
0
28 Oct 2023
PockEngine: Sparse and Efficient Fine-tuning in a Pocket
PockEngine: Sparse and Efficient Fine-tuning in a Pocket
Ligeng Zhu
Lanxiang Hu
Ji Lin
Wei-Chen Wang
Wei-Ming Chen
Chuang Gan
Song Han
30
19
0
26 Oct 2023
MCUFormer: Deploying Vision Transformers on Microcontrollers with
  Limited Memory
MCUFormer: Deploying Vision Transformers on Microcontrollers with Limited Memory
Yinan Liang
Ziwei Wang
Xiuwei Xu
Yansong Tang
Jie Zhou
Jiwen Lu
29
9
0
25 Oct 2023
Citizen participation: crowd-sensed sustainable indoor location services
Citizen participation: crowd-sensed sustainable indoor location services
Ioannis Nasios
Konstantinos Vogklis
A. Malhi
Anastasia Vayona
P. Chatziadam
Vasilis Katos
13
0
0
25 Oct 2023
Task Grouping for Automated Multi-Task Machine Learning via Task
  Affinity Prediction
Task Grouping for Automated Multi-Task Machine Learning via Task Affinity Prediction
Afiya Ayman
Ayan Mukhopadhyay
Aron Laszka
23
1
0
24 Oct 2023
Physically Explainable Deep Learning for Convective Initiation
  Nowcasting Using GOES-16 Satellite Observations
Physically Explainable Deep Learning for Convective Initiation Nowcasting Using GOES-16 Satellite Observations
Da Fan
S. Greybush
David John Gagne
E. Clothiaux
20
1
0
24 Oct 2023
Preference Elicitation with Soft Attributes in Interactive
  Recommendation
Preference Elicitation with Soft Attributes in Interactive Recommendation
Erdem Biyik
Fan Yao
Yinlam Chow
Alex Haig
Chih-Wei Hsu
Mohammad Ghavamzadeh
Craig Boutilier
19
4
0
22 Oct 2023
Learning Interpretable Rules for Scalable Data Representation and
  Classification
Learning Interpretable Rules for Scalable Data Representation and Classification
Zhuo Wang
Wei Zhang
Ning Liu
Jianyong Wang
30
7
0
22 Oct 2023
RL-X: A Deep Reinforcement Learning Library (not only) for RoboCup
RL-X: A Deep Reinforcement Learning Library (not only) for RoboCup
Nico Bohlinger
Klaus Dorer
27
4
0
20 Oct 2023
DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency
  for Federated Learning with Static and Streaming Dataset
DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset
Weijie Liu
Xiaoxi Zhang
Jingpu Duan
Carlee Joe-Wong
Zhi Zhou
Xu Chen
26
8
0
20 Oct 2023
Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction,
  and Scoring across Edge Devices
Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring across Edge Devices
Xiaolong Tu
Anik Mallik
Dawei Chen
Kyungtae Han
Onur Altintas
Haoxin Wang
Jiang Xie
27
12
0
19 Oct 2023
Blending gradient boosted trees and neural networks for point and
  probabilistic forecasting of hierarchical time series
Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time series
Ioannis Nasios
Konstantinos Vogklis
AI4TS
19
9
0
19 Oct 2023
DocXChain: A Powerful Open-Source Toolchain for Document Parsing and
  Beyond
DocXChain: A Powerful Open-Source Toolchain for Document Parsing and Beyond
Cong Yao
52
6
0
19 Oct 2023
On Unsupervised Image-to-image translation and GAN stability
On Unsupervised Image-to-image translation and GAN stability
BahaaEddin AlAila
Zahra Jandaghi
Abolfazl Farahani
M. Al-Saad
GAN
25
1
0
18 Oct 2023
Leveraging Large Language Model for Automatic Evolving of Industrial
  Data-Centric R&D Cycle
Leveraging Large Language Model for Automatic Evolving of Industrial Data-Centric R&D Cycle
Xu Yang
Xiao Yang
Weiqing Liu
Jinhui Li
Peng Yu
Zeqi Ye
Jiang Bian
37
1
0
17 Oct 2023
Robust Multi-Agent Reinforcement Learning via Adversarial
  Regularization: Theoretical Foundation and Stable Algorithms
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms
Alexander Bukharin
Yan Li
Yue Yu
Qingru Zhang
Zhehui Chen
Simiao Zuo
Chao Zhang
Songan Zhang
Tuo Zhao
OOD
AAML
32
18
0
16 Oct 2023
GEVO-ML: Optimizing Machine Learning Code with Evolutionary Computation
GEVO-ML: Optimizing Machine Learning Code with Evolutionary Computation
Jhe-Yu Liou
Stephanie Forrest
Carole-Jean Wu
VLM
21
0
0
16 Oct 2023
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