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1812.08032
Cited By
Progressive Data Science: Potential and Challenges
19 December 2018
Cagatay Turkay
Nicola Pezzotti
Carsten Binnig
Hendrik Strobelt
Barbara Hammer
Daniel A. Keim
Jean-Daniel Fekete
Themis Palpanas
Yunhai Wang
Florin Rusu
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Papers citing
"Progressive Data Science: Potential and Challenges"
10 / 10 papers shown
Title
Helix: Holistic Optimization for Accelerating Iterative Machine Learning
Doris Xin
Stephen Macke
Litian Ma
Jialin Liu
Shuchen Song
Aditya G. Parameswaran
13
60
0
14 Dec 2018
A Survey on Deep Learning Toolkits and Libraries for Intelligent User Interfaces
Jan Zacharias
Michael Barz
Daniel Sonntag
VLM
47
33
0
13 Mar 2018
Generative Adversarial Active Learning
Jia Jie Zhu
José Bento
GAN
30
183
0
25 Feb 2017
Enabling Robots to Communicate their Objectives
Sandy H. Huang
David Held
Pieter Abbeel
Anca Dragan
25
160
0
11 Feb 2017
An Interactive Machine Learning Framework
Teng Lee
James Johnson
S. Cheng
11
17
0
18 Oct 2016
Progressive Analytics: A Computation Paradigm for Exploratory Data Analysis
Jean-Daniel Fekete
Romain Primet
69
84
0
18 Jul 2016
Approximated and User Steerable tSNE for Progressive Visual Analytics
Nicola Pezzotti
B. Lelieveldt
Laurens van der Maaten
T. Höllt
E. Eisemann
Anna Vilanova
21
286
0
05 Dec 2015
Optimal Transport for Domain Adaptation
Nicolas Courty
Rémi Flamary
D. Tuia
A. Rakotomamonjy
OT
OOD
55
1,112
0
02 Jul 2015
Learning An Invariant Speech Representation
Georgios Evangelopoulos
S. Voinea
Chiyuan Zhang
Lorenzo Rosasco
T. Poggio
SSL
38
5
0
16 Jun 2014
BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data
Sameer Agarwal
Aurojit Panda
Barzan Mozafari
Samuel Madden
Ion Stoica
40
775
0
25 Mar 2012
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