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Productivity, Portability, Performance: Data-Centric Python

Productivity, Portability, Performance: Data-Centric Python

1 July 2021
Yiheng Wang
Yao Zhang
Yanzhang Wang
Yan Wan
Jiao Wang
Zhongyuan Wu
Yuhao Yang
Bowen She
ArXivPDFHTML

Papers citing "Productivity, Portability, Performance: Data-Centric Python"

13 / 13 papers shown
Title
Productive Performance Engineering for Weather and Climate Modeling with
  Python
Productive Performance Engineering for Weather and Climate Modeling with Python
Tal Ben-Nun
Linus Groner
Florian Deconinck
Tobias Wicky
Eddie Davis
...
Lukas Trumper
E. Wu
O. Fuhrer
T. Schulthess
Torsten Hoefler
6
16
0
09 May 2022
Understanding and Creating Art with AI: Review and Outlook
Understanding and Creating Art with AI: Review and Outlook
E. Cetinic
James She
103
307
0
18 Feb 2021
Significant Otter: Understanding the Role of Biosignals in Communication
Significant Otter: Understanding the Role of Biosignals in Communication
Fannie Liu
Chunjong Park
Yu Jiang Tham
T. Tsai
Laura A. Dabbish
Geoff F. Kaufman
A. Monroy-Hernández
32
44
0
16 Feb 2021
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Weijing Shi
Ragunathan
R. Rajkumar
3DPC
128
615
0
02 Mar 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
173
907
0
02 Mar 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
283
4,143
0
23 Aug 2019
A Graph-CNN for 3D Point Cloud Classification
A Graph-CNN for 3D Point Cloud Classification
Yingxue Zhang
Michael G. Rabbat
3DPC
98
144
0
28 Nov 2018
Multilingual Sentiment Analysis: An RNN-Based Framework for Limited Data
Multilingual Sentiment Analysis: An RNN-Based Framework for Limited Data
E. Can
Aysu Ezen-Can
Fazli Can
26
73
0
08 Jun 2018
How Algorithmic Confounding in Recommendation Systems Increases
  Homogeneity and Decreases Utility
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility
A. Chaney
Brandon M Stewart
Barbara E. Engelhardt
CML
161
281
0
30 Oct 2017
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
187
1,358
0
06 Jun 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
208
7,687
0
17 Aug 2015
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
188
7,816
0
13 Jun 2015
Learning Attitudes and Attributes from Multi-Aspect Reviews
Learning Attitudes and Attributes from Multi-Aspect Reviews
Julian McAuley
J. Leskovec
Dan Jurafsky
183
292
0
15 Oct 2012
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