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No Classification without Representation: Assessing Geodiversity Issues
  in Open Data Sets for the Developing World

No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World

22 November 2017
S. Shankar
Yoni Halpern
Eric Breck
James Atwood
Jimbo Wilson
D. Sculley
ArXivPDFHTML

Papers citing "No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World"

12 / 62 papers shown
Title
Measuring Robustness to Natural Distribution Shifts in Image
  Classification
Measuring Robustness to Natural Distribution Shifts in Image Classification
Rohan Taori
Achal Dave
Vaishaal Shankar
Nicholas Carlini
Benjamin Recht
Ludwig Schmidt
OOD
48
536
0
01 Jul 2020
Understanding collections of related datasets using dependent MMD
  coresets
Understanding collections of related datasets using dependent MMD coresets
Sinead Williamson
Jette Henderson
16
5
0
24 Jun 2020
Federated Learning with Matched Averaging
Federated Learning with Matched Averaging
Hongyi Wang
Mikhail Yurochkin
Yuekai Sun
Dimitris Papailiopoulos
Y. Khazaeni
FedML
72
1,099
0
15 Feb 2020
Fairness in Learning-Based Sequential Decision Algorithms: A Survey
Fairness in Learning-Based Sequential Decision Algorithms: A Survey
Xueru Zhang
M. Liu
FaML
40
51
0
14 Jan 2020
Towards Fairer Datasets: Filtering and Balancing the Distribution of the
  People Subtree in the ImageNet Hierarchy
Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy
Kaiyu Yang
Klint Qinami
Li Fei-Fei
Jia Deng
Olga Russakovsky
21
316
0
16 Dec 2019
Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation
Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation
Emily Dinan
Angela Fan
Adina Williams
Jack Urbanek
Douwe Kiela
Jason Weston
32
206
0
10 Nov 2019
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
341
4,230
0
23 Aug 2019
Does Object Recognition Work for Everyone?
Does Object Recognition Work for Everyone?
Terrance Devries
Ishan Misra
Changhan Wang
L. V. D. van der Maaten
42
262
0
06 Jun 2019
What are the biases in my word embedding?
What are the biases in my word embedding?
Nathaniel Swinger
Maria De-Arteaga
IV NeilThomasHeffernan
Mark D. M. Leiserson
Adam Tauman Kalai
11
104
0
20 Dec 2018
Are All Training Examples Created Equal? An Empirical Study
Are All Training Examples Created Equal? An Empirical Study
Kailas Vodrahalli
Ke Li
Jitendra Malik
23
59
0
30 Nov 2018
Learning Tasks for Multitask Learning: Heterogenous Patient Populations
  in the ICU
Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU
Harini Suresh
Jen J. Gong
John Guttag
28
85
0
07 Jun 2018
Verisimilar Percept Sequences Tests for Autonomous Driving Intelligent
  Agent Assessment
Verisimilar Percept Sequences Tests for Autonomous Driving Intelligent Agent Assessment
Thomio Watanabe
D. Wolf
19
8
0
07 May 2018
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