Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1605.08695
Cited By
v1
v2 (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
GNN
AI4CE
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"TensorFlow: A system for large-scale machine learning"
50 / 4,253 papers shown
Title
MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs
Ziheng Jiang
Yanghua Peng
Yinmin Zhong
Qi Huang
Yangrui Chen
...
Zhe Li
X. Jia
Jia-jun Ye
Xin Jin
Xin Liu
LRM
126
124
0
23 Feb 2024
Towards a Theoretical Understanding of Two-Stage Recommender Systems
Amit Kumar Jaiswal
60
2
0
23 Feb 2024
Boosting gets full Attention for Relational Learning
Mathieu Guillame-Bert
Richard Nock
LMTD
52
0
0
22 Feb 2024
Ensure Timeliness and Accuracy: A Novel Sliding Window Data Stream Paradigm for Live Streaming Recommendation
Fengqi Liang
Baigong Zheng
Liqin Zhao
Guorui Zhou
Qian Wang
Yanan Niu
AI4TS
66
4
0
22 Feb 2024
AgentScope: A Flexible yet Robust Multi-Agent Platform
Dawei Gao
Zitao Li
Xuchen Pan
Weirui Kuang
Zhijian Ma
...
Chen Cheng
Hongzhu Shi
Yaliang Li
Bolin Ding
Jingren Zhou
LLMAG
97
39
0
21 Feb 2024
Communication-Efficient Distributed Learning with Local Immediate Error Compensation
Yifei Cheng
Li Shen
Linli Xu
Xun Qian
Shiwei Wu
Yiming Zhou
Tie Zhang
Dacheng Tao
Enhong Chen
70
0
0
19 Feb 2024
Machine Learning based Prediction of Ditching Loads
Henning Schwarz
Micha Überrück
J. Zemke
Thomas Rung
MU
AI4CE
47
1
0
16 Feb 2024
A novel integrated industrial approach with cobots in the age of industry 4.0 through conversational interaction and computer vision
Andrea Pazienza
Nicola Macchiarulo
Felice Vitulano
Antonio Fiorentini
Marco Cammisa
Leonardo Rigutini
E. Iorio
Achille Globo
Antonio Trevisi
25
8
0
16 Feb 2024
DOF: Accelerating High-order Differential Operators with Forward Propagation
Ruichen Li
Chuwei Wang
Haotian Ye
Di He
Liwei Wang
AI4CE
77
4
0
15 Feb 2024
TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems
Eugenio Ressa
Alberto Marchisio
Maurizio Martina
Guido Masera
Mohamed Bennai
142
0
0
15 Feb 2024
Exploring Federated Deep Learning for Standardising Naming Conventions in Radiotherapy Data
Ali Haidar
Daniel Al Mouiee
F. Aly
David Thwaites
Lois Holloway
31
0
0
14 Feb 2024
Rethinking the Capacity of Graph Neural Networks for Branching Strategy
Ziang Chen
Jialin Liu
Xiaohan Chen
Xinshang Wang
Wotao Yin
100
5
0
11 Feb 2024
YAMLE: Yet Another Machine Learning Environment
Martin Ferianc
Miguel R. D. Rodrigues
VLM
51
3
0
09 Feb 2024
A Deep Reinforcement Learning Approach for Adaptive Traffic Routing in Next-gen Networks
A. Abrol
Purnima Murali Mohan
Tram Truong-Huu
34
1
0
07 Feb 2024
AnthroScore: A Computational Linguistic Measure of Anthropomorphism
Myra Cheng
Kristina Gligorić
Tiziano Piccardi
Dan Jurafsky
77
18
0
03 Feb 2024
Scalable Higher-Order Tensor Product Spline Models
David Rügamer
54
2
0
02 Feb 2024
opML: Optimistic Machine Learning on Blockchain
KD Conway
Cathie So
Xiaohang Yu
Kartin Wong
69
15
0
31 Jan 2024
Effective Multi-Stage Training Model For Edge Computing Devices In Intrusion Detection
Thua Huynh Trong
Thanh Nguyen Hoang
58
3
0
31 Jan 2024
Trainable Fixed-Point Quantization for Deep Learning Acceleration on FPGAs
Dingyi Dai
Yichi Zhang
Jiahao Zhang
Zhanqiu Hu
Yaohui Cai
Qi Sun
Zhiru Zhang
MQ
95
7
0
31 Jan 2024
Traffic estimation in unobserved network locations using data-driven macroscopic models
Pablo Guarda
Sean Qian
56
1
0
30 Jan 2024
Interactive Byzantine-Resilient Gradient Coding for General Data Assignments
Shreyas Jain
Luis Maßny
Christoph Hofmeister
Eitan Yaakobi
Rawad Bitar
49
0
0
30 Jan 2024
Accelerated Cloud for Artificial Intelligence (ACAI)
Dachi Chen
Weitian Ding
Chen Liang
Chang Xu
Junwei Zhang
Majd Sakr
37
1
0
30 Jan 2024
SwapNet: Efficient Swapping for DNN Inference on Edge AI Devices Beyond the Memory Budget
Kun Wang
Jiani Cao
Zimu Zhou
Zhenjiang Li
62
7
0
30 Jan 2024
Engineering A Large Language Model From Scratch
Abiodun Finbarrs Oketunji
46
0
0
30 Jan 2024
GarchingSim: An Autonomous Driving Simulator with Photorealistic Scenes and Minimalist Workflow
Liguo Zhou
Yinglei Song
Yichao Gao
Zhou Yu
Michael Sodamin
...
Hao Liu
Yang Liu
Haichuan Li
Guang Chen
Alois Knoll
80
4
0
28 Jan 2024
Value-Driven Mixed-Precision Quantization for Patch-Based Inference on Microcontrollers
Wei Tao
Shenglin He
Kai Lu
Xiaoyang Qu
Guokuan Li
Jiguang Wan
Jianzong Wang
Jing Xiao
MQ
50
1
0
24 Jan 2024
Accelerating Material Property Prediction using Generically Complete Isometry Invariants
Jonathan Balasingham
Viktor Zamaraev
V. Kurlin
82
5
0
22 Jan 2024
PartIR: Composing SPMD Partitioning Strategies for Machine Learning
Sami Alabed
Daniel Belov
Bart Chrzaszcz
Juliana Franco
Dominik Grewe
...
Michael Schaarschmidt
Timur Sitdikov
Agnieszka Swietlik
Dimitrios Vytiniotis
Joel Wee
94
3
0
20 Jan 2024
Projected Belief Networks With Discriminative Alignment for Acoustic Event Classification: Rivaling State of the Art CNNs
P. Baggenstoss
Kevin Wilkinghoff
F. Govaers
Frank Kurth
62
1
0
20 Jan 2024
Combining Cloud and Mobile Computing for Machine Learning
Ruiqi Xu
Tianchi Zhang
115
1
0
20 Jan 2024
Computing in the Era of Large Generative Models: From Cloud-Native to AI-Native
Yao Lu
Song Bian
Lequn Chen
Yongjun He
Yulong Hui
...
Huanchen Zhang
Minjia Zhang
Qizhen Zhang
Tianyi Zhou
Danyang Zhuo
93
7
0
17 Jan 2024
N-Adaptive Ritz Method: A Neural Network Enriched Partition of Unity for Boundary Value Problems
Jonghyuk Baek
Yanran Wang
J. S. Chen
87
1
0
16 Jan 2024
BanglaNet: Bangla Handwritten Character Recognition using Ensembling of Convolutional Neural Network
Chandrika Saha
Md. Mostafijur Rahman
35
1
0
16 Jan 2024
End-to-end Learnable Clustering for Intent Learning in Recommendation
Yue Liu
Shihao Zhu
Jun Xia
Yingwei Ma
Jian Ma
Wenliang Zhong
Xinwang Liu
Guannan Zhang
Kejun Zhang
112
11
0
11 Jan 2024
Benchmark Analysis of Various Pre-trained Deep Learning Models on ASSIRA Cats and Dogs Dataset
Galib Muhammad Shahriar Himel
Md. Masudul Islam
33
1
0
09 Jan 2024
G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems
Youshao Xiao
Shangchun Zhao
Zhenglei Zhou
Zhaoxin Huan
Lin Ju
Xiaolu Zhang
Lin Wang
Jun Zhou
OffRL
103
8
0
09 Jan 2024
Sibyl: Forecasting Time-Evolving Query Workloads
Hanxian Huang
Tarique Siddiqui
Rana Alotaibi
Carlo Curino
Jyoti Leeka
Alekh Jindal
Jishen Zhao
Jesús Camacho-Rodríguez
Yuanyuan Tian
AI4TS
29
4
0
08 Jan 2024
An Exploratory Study on Automatic Identification of Assumptions in the Development of Deep Learning Frameworks
Chen Yang
Peng Liang
Zinan Ma
40
0
0
08 Jan 2024
On the numerical reliability of nonsmooth autodiff: a MaxPool case study
Ryan Boustany
88
1
0
05 Jan 2024
Understanding LLMs: A Comprehensive Overview from Training to Inference
Yi-Hsueh Liu
Haoyang He
Tianle Han
Xu-Yao Zhang
Mengyuan Liu
...
Xintao Hu
Tuo Zhang
Ning Qiang
Tianming Liu
Bao Ge
SyDa
164
79
0
04 Jan 2024
DREAM: Debugging and Repairing AutoML Pipelines
Xiaoyu Zhang
Juan Zhai
Shiqing Ma
Chao Shen
86
1
0
31 Dec 2023
Unicron: Economizing Self-Healing LLM Training at Scale
Tao He
Xue Li
Zhibin Wang
Kun Qian
Jingbo Xu
Wenyuan Yu
Jingren Zhou
57
16
0
30 Dec 2023
Xorbits: Automating Operator Tiling for Distributed Data Science
Weizheng Lu
Kaisheng He
Xuye Qin
Chengjie Li
Zhong Wang
Tao Yuan
Xia Liao
Feng Zhang
Yueguo Chen
Xiaoyong Du
21
1
0
29 Dec 2023
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
Wenzhang Liu
Wenzhe Cai
Kun Jiang
Guangran Cheng
Yuanda Wang
Changyin Sun
Jingyu Cao
Lele Xu
Chaoxu Mu
Changyin Sun
55
6
0
25 Dec 2023
Physics-informed neural network for modeling dynamic linear elasticity
Vijay Kag
Venkatesh Gopinath
PINN
66
1
0
23 Dec 2023
Understanding the Potential of FPGA-Based Spatial Acceleration for Large Language Model Inference
Hongzheng Chen
Jiahao Zhang
Yixiao Du
Shaojie Xiang
Zichao Yue
Niansong Zhang
Yaohui Cai
Zhiru Zhang
117
40
0
23 Dec 2023
A Mathematical Guide to Operator Learning
Nicolas Boullé
Alex Townsend
99
47
0
22 Dec 2023
Interactive Visualization of Time-Varying Flow Fields Using Particle Tracing Neural Networks
Mengjiao Han
Jixian Li
Sudhanshu Sane
Shubham Gupta
Bei Wang
Steve Petruzza
C. R. Johnson
AI4CE
94
3
0
20 Dec 2023
Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks
Anzhe Cheng
Zhenkun Wang
Chenzhong Yin
Mingxi Cheng
Heng Ping
Xiongye Xiao
Shahin Nazarian
Paul Bogdan
55
2
0
20 Dec 2023
Bridging Logic and Learning: A Neural-Symbolic Approach for Enhanced Reasoning in Neural Models (ASPER)
Fadi Al Machot
91
2
0
18 Dec 2023
Previous
1
2
3
...
5
6
7
...
84
85
86
Next