ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1605.08695
  4. Cited By
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
ArXivPDFHTML

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

50 / 3,507 papers shown
Title
Parameter estimation of the homodyned K distribution based on neural
  networks and trainable fractional-order moments
Parameter estimation of the homodyned K distribution based on neural networks and trainable fractional-order moments
Michal Byra
Z. Klimonda
Piotr Jarosik
14
0
0
11 Oct 2022
Scaling Up Deliberation for Multilingual ASR
Scaling Up Deliberation for Multilingual ASR
Ke Hu
Yue Liu
Tara N. Sainath
LRM
33
9
0
11 Oct 2022
RoHNAS: A Neural Architecture Search Framework with Conjoint
  Optimization for Adversarial Robustness and Hardware Efficiency of
  Convolutional and Capsule Networks
RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks
Alberto Marchisio
Vojtěch Mrázek
Andrea Massa
Beatrice Bussolino
Maurizio Martina
Mohamed Bennai
AAML
51
5
0
11 Oct 2022
MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning
  Library
MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library
Siyi Hu
Yifan Zhong
Minquan Gao
Weixun Wang
Hao Dong
Xiaodan Liang
Zhihui Li
Xiaojun Chang
Yaodong Yang
23
15
0
11 Oct 2022
Rejecting noise in Baikal-GVD data with neural networks
Rejecting noise in Baikal-GVD data with neural networks
I. Kharuk
G. Rubtsov
G. Safronov
15
1
0
10 Oct 2022
KP-RNN: A Deep Learning Pipeline for Human Motion Prediction and
  Synthesis of Performance Art
KP-RNN: A Deep Learning Pipeline for Human Motion Prediction and Synthesis of Performance Art
Patrick Perrine
Trevor Kirkby
3DH
24
2
0
09 Oct 2022
Multi-Objective Personalized Product Retrieval in Taobao Search
Multi-Objective Personalized Product Retrieval in Taobao Search
Yukun Zheng
Jiang Bian
Guang-Xun Meng
Chao Zhang
Honggang Wang
Zhixuan Zhang
Sen-Yuan Li
Zhuang Tao
Qingwen Liu
Xiaoyi Zeng
8
11
0
09 Oct 2022
Demand Layering for Real-Time DNN Inference with Minimized Memory Usage
Demand Layering for Real-Time DNN Inference with Minimized Memory Usage
Min-Zhi Ji
Saehanseul Yi
Chang-Mo Koo
Sol Ahn
Dongjoo Seo
N. Dutt
Jong-Chan Kim
47
17
0
08 Oct 2022
ByteTransformer: A High-Performance Transformer Boosted for
  Variable-Length Inputs
ByteTransformer: A High-Performance Transformer Boosted for Variable-Length Inputs
Yujia Zhai
Chengquan Jiang
Leyuan Wang
Xiaoying Jia
Shang Zhang
Zizhong Chen
Xin Liu
Yibo Zhu
66
48
0
06 Oct 2022
Deep Learning Mixture-of-Experts Approach for Cytotoxic Edema Assessment
  in Infants and Children
Deep Learning Mixture-of-Experts Approach for Cytotoxic Edema Assessment in Infants and Children
Henok Ghebrechristos
Stence Nicholas
D. Mirsky
G. Alaghband
Manh Huynh
Zackary Kromer
Ligia Batista
Brent ONeill
S. Moulton
D. Lindberg
MedIm
18
1
0
06 Oct 2022
Scaling up Stochastic Gradient Descent for Non-convex Optimisation
Scaling up Stochastic Gradient Descent for Non-convex Optimisation
S. Mohamad
H. Alamri
A. Bouchachia
50
3
0
06 Oct 2022
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision
  Models
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models
Chenglin Yang
Siyuan Qiao
Qihang Yu
Xiaoding Yuan
Yukun Zhu
Alan Yuille
Hartwig Adam
Liang-Chieh Chen
ViT
MoE
44
60
0
04 Oct 2022
Sampling Streaming Data with Parallel Vector Quantization -- PVQ
Sampling Streaming Data with Parallel Vector Quantization -- PVQ
Mujahid Sultan
30
1
0
04 Oct 2022
Lightweight Strategy for XOR PUFs as Security Primitives for
  Resource-constrained IoT device
Lightweight Strategy for XOR PUFs as Security Primitives for Resource-constrained IoT device
Gaoxiang Li
Khalid T. Mursi
Yu Zhuang
11
1
0
04 Oct 2022
In the realm of hybrid Brain: Human Brain and AI
In the realm of hybrid Brain: Human Brain and AI
Hoda Fares
Margherita Ronchini
M. Zamani
H. Farkhani
F. Moradi
33
5
0
04 Oct 2022
MSRL: Distributed Reinforcement Learning with Dataflow Fragments
MSRL: Distributed Reinforcement Learning with Dataflow Fragments
Huanzhou Zhu
Bo Zhao
Gang Chen
Weifeng Chen
Yijie Chen
Liang Shi
Yaodong Yang
Peter R. Pietzuch
Lei Chen
OffRL
MoE
31
7
0
03 Oct 2022
Blockchain-based Monitoring for Poison Attack Detection in Decentralized
  Federated Learning
Blockchain-based Monitoring for Poison Attack Detection in Decentralized Federated Learning
Ranwa Al Mallah
David López
OOD
24
6
0
30 Sep 2022
Cloud Classification with Unsupervised Deep Learning
Cloud Classification with Unsupervised Deep Learning
Takuya Kurihana
Ian Foster
Rebecca Willett
S. Jenkins
Kathryn Koenig
Ruby Werman
Ricardo Barros Lourenço
Casper Neo
Elisabeth Moyer
24
8
0
30 Sep 2022
PyPose: A Library for Robot Learning with Physics-based Optimization
PyPose: A Library for Robot Learning with Physics-based Optimization
Chen Wang
Dasong Gao
Kuan Xu
Junyi Geng
Yaoyu Hu
...
Jiajun Wu
Lihua Xie
Luca Carlone
Marco Hutter
Sebastian Scherer
PINN
AI4CE
67
43
0
30 Sep 2022
Convolutional Neural Networks Quantization with Attention
Convolutional Neural Networks Quantization with Attention
Binyi Wu
Bernd Waschneck
Christian Mayr
MQ
24
1
0
30 Sep 2022
Experts in the Loop: Conditional Variable Selection for Accelerating
  Post-Silicon Analysis Based on Deep Learning
Experts in the Loop: Conditional Variable Selection for Accelerating Post-Silicon Analysis Based on Deep Learning
Yiwen Liao
Raphael Latty
Bin Yang
18
0
0
30 Sep 2022
IvySyn: Automated Vulnerability Discovery in Deep Learning Frameworks
IvySyn: Automated Vulnerability Discovery in Deep Learning Frameworks
Neophytos Christou
Di Jin
Vaggelis Atlidakis
Baishakhi Ray
V. Kemerlis
29
13
0
29 Sep 2022
Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets
Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets
Deborah Pereg
M. Villiger
B. Bouma
Polina Golland
39
3
0
28 Sep 2022
Physics-aware Differentiable Discrete Codesign for Diffractive Optical
  Neural Networks
Physics-aware Differentiable Discrete Codesign for Diffractive Optical Neural Networks
Yingjie Li
Ruiyang Chen
Weilu Gao
Cunxi Yu
34
11
0
28 Sep 2022
On Physics-Informed Neural Networks for Quantum Computers
On Physics-Informed Neural Networks for Quantum Computers
Stefano Markidis
PINN
37
18
0
28 Sep 2022
Word to Sentence Visual Semantic Similarity for Caption Generation:
  Lessons Learned
Word to Sentence Visual Semantic Similarity for Caption Generation: Lessons Learned
Ahmed Sabir
25
0
0
26 Sep 2022
Optimizing DNN Compilation for Distributed Training with Joint OP and
  Tensor Fusion
Optimizing DNN Compilation for Distributed Training with Joint OP and Tensor Fusion
Xiaodong Yi
Shiwei Zhang
Lansong Diao
Chuan Wu
Zhen Zheng
Shiqing Fan
Siyu Wang
Jun Yang
W. Lin
49
4
0
26 Sep 2022
Dordis: Efficient Federated Learning with Dropout-Resilient Differential
  Privacy
Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy
Zhifeng Jiang
Wei Wang
Ruichuan Chen
48
7
0
26 Sep 2022
Fast Disparity Estimation from a Single Compressed Light Field
  Measurement
Fast Disparity Estimation from a Single Compressed Light Field Measurement
Emmanuel Martinez
Edwin Vargas
Henry Arguello
19
0
0
22 Sep 2022
Automated detection of Alzheimer disease using MRI images and deep
  neural networks- A review
Automated detection of Alzheimer disease using MRI images and deep neural networks- A review
Narotam Singh
D. Patteshwari
N. Soni
A. Kapoor
OOD
40
4
0
22 Sep 2022
Detecting Rotated Objects as Gaussian Distributions and Its 3-D
  Generalization
Detecting Rotated Objects as Gaussian Distributions and Its 3-D Generalization
Xue Yang
Gefan Zhang
Xiaojiang Yang
Yue Zhou
Wentao Wang
Jin Tang
Tao He
Junchi Yan
30
88
0
22 Sep 2022
Deep Lake: a Lakehouse for Deep Learning
Deep Lake: a Lakehouse for Deep Learning
S. Hambardzumyan
Abhina Tuli
Levon Ghukasyan
Fariz Rahman
Hrant Topchyan
...
Mark McQuade
M. Harutyunyan
Tatevik Hakobyan
I. Stranic
Davit Buniatyan
31
17
0
22 Sep 2022
Nesting Forward Automatic Differentiation for Memory-Efficient Deep
  Neural Network Training
Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training
Cong Guo
Yuxian Qiu
Jingwen Leng
Chen Zhang
Yingdian Cao
Quan Zhang
Yunxin Liu
Fan Yang
Minyi Guo
AI4CE
75
4
0
22 Sep 2022
Deep Learning on Home Drone: Searching for the Optimal Architecture
Deep Learning on Home Drone: Searching for the Optimal Architecture
Alaa Maalouf
Yotam Gurfinkel
Barak Diker
O. Gal
Daniela Rus
Dan Feldman
37
5
0
21 Sep 2022
Streaming Encoding Algorithms for Scalable Hyperdimensional Computing
Streaming Encoding Algorithms for Scalable Hyperdimensional Computing
Anthony Thomas
Behnam Khaleghi
Gopi Krishna Jha
S. Dasgupta
N. Himayat
Ravi Iyer
Nilesh Jain
Tajana Rosing
23
6
0
20 Sep 2022
PolyMPCNet: Towards ReLU-free Neural Architecture Search in Two-party Computation Based Private Inference
Hongwu Peng
Shangli Zhou
Yukui Luo
Shijin Duan
Nuo Xu
...
Tong Geng
Ang Li
Wujie Wen
Xiaolin Xu
Caiwen Ding
44
3
0
20 Sep 2022
Statement-Level Vulnerability Detection: Learning Vulnerability Patterns
  Through Information Theory and Contrastive Learning
Statement-Level Vulnerability Detection: Learning Vulnerability Patterns Through Information Theory and Contrastive Learning
Van Nguyen
Trung Le
Chakkrit Tantithamthavorn
Michael Fu
John C. Grundy
Hung Nguyen
S. Çamtepe
Paul Quirk
Dinh Q. Phung
48
4
0
20 Sep 2022
Cross Project Software Vulnerability Detection via Domain Adaptation and
  Max-Margin Principle
Cross Project Software Vulnerability Detection via Domain Adaptation and Max-Margin Principle
Van Nguyen
Trung Le
Chakkrit Tantithamthavorn
John C. Grundy
Hung Nguyen
Dinh Q. Phung
60
4
0
19 Sep 2022
SAMP: A Model Inference Toolkit of Post-Training Quantization for Text
  Processing via Self-Adaptive Mixed-Precision
SAMP: A Model Inference Toolkit of Post-Training Quantization for Text Processing via Self-Adaptive Mixed-Precision
Rong Tian
Zijing Zhao
Weijie Liu
Haoyan Liu
Weiquan Mao
Zhe Zhao
Kimmo Yan
MQ
27
5
0
19 Sep 2022
Deep Metric Learning with Chance Constraints
Deep Metric Learning with Chance Constraints
Y. Z. Gürbüz
Ogul Can
A. Aydin Alatan
32
2
0
19 Sep 2022
Empirical Analysis on Top-k Gradient Sparsification for Distributed Deep
  Learning in a Supercomputing Environment
Empirical Analysis on Top-k Gradient Sparsification for Distributed Deep Learning in a Supercomputing Environment
Daegun Yoon
Sangyoon Oh
28
0
0
18 Sep 2022
Enhanced Fairness Testing via Generating Effective Initial Individual
  Discriminatory Instances
Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances
Minghua Ma
Zhao Tian
Max Hort
Federica Sarro
Hongyu Zhang
Qingwei Lin
Dongmei Zhang
28
5
0
17 Sep 2022
Belief Revision based Caption Re-ranker with Visual Semantic Information
Belief Revision based Caption Re-ranker with Visual Semantic Information
Ahmed Sabir
Francesc Moreno-Noguer
Pranava Madhyastha
Lluís Padró
BDL
34
2
0
16 Sep 2022
Dynamics-informed deconvolutional neural networks for super-resolution
  identification of regime changes in epidemiological time series
Dynamics-informed deconvolutional neural networks for super-resolution identification of regime changes in epidemiological time series
J. Vilar
L. Saiz
27
6
0
16 Sep 2022
Learning Pair Potentials using Differentiable Simulations
Learning Pair Potentials using Differentiable Simulations
Wujie Wang
Zhenghao Wu
Rafael Gómez-Bombarelli
35
23
0
16 Sep 2022
Distribution Aware Metrics for Conditional Natural Language Generation
Distribution Aware Metrics for Conditional Natural Language Generation
David M. Chan
Yiming Ni
David A. Ross
Sudheendra Vijayanarasimhan
Austin Myers
John F. Canny
53
4
0
15 Sep 2022
Efficiency Ordering of Stochastic Gradient Descent
Efficiency Ordering of Stochastic Gradient Descent
Jie Hu
Vishwaraj Doshi
Do Young Eun
33
6
0
15 Sep 2022
A Universally-Deployable ASR Frontend for Joint Acoustic Echo
  Cancellation, Speech Enhancement, and Voice Separation
A Universally-Deployable ASR Frontend for Joint Acoustic Echo Cancellation, Speech Enhancement, and Voice Separation
Tom O'Malley
A. Narayanan
Quan Wang
27
5
0
14 Sep 2022
FaceTopoNet: Facial Expression Recognition using Face Topology Learning
FaceTopoNet: Facial Expression Recognition using Face Topology Learning
Mojtaba Kolahdouzi
Alireza Sepas-Moghaddam
Ali Etemad
3DH
CVBM
27
7
0
13 Sep 2022
Comparative analysis of segmentation and generative models for
  fingerprint retrieval task
Comparative analysis of segmentation and generative models for fingerprint retrieval task
Megha Patel
Devarsh Patel
Sarthak Patel
21
0
0
13 Sep 2022
Previous
123...151617...697071
Next