-
1
-
-
84879762326
-
Efficient market making via convex optimization, and a connection to online learning
-
Article
-
Jacob Abernethy, Yiling Chen, and Jennifer Wortman Vaughan. Efficient market making via convex optimization, and a connection to online learning. ACM Transactions on Economics and Computation, 1(2):Article 12, 2013.
-
(2013)
ACM Transactions on Economics and Computation
, vol.1
, Issue.2
-
-
Abernethy, J.1
Chen, Y.2
Vaughan, J.W.3
-
2
-
-
84980317079
-
How many workers to ask? Adaptive exploration for collecting high quality labels
-
Ittai Abraham, Omar Alonso, Vasilis Kandylas, Rajesh Patel, Steven Shelford, and Aleksandrs Slivkins. How many workers to ask? Adaptive exploration for collecting high quality labels. In SIGIR, 2016.
-
(2016)
SIGIR
-
-
Abraham, I.1
Alonso, O.2
Kandylas, V.3
Patel, R.4
Shelford, S.5
Slivkins, A.6
-
4
-
-
84875658677
-
Implementing crowdsourcing-based relevance experimentation: An industrial perspective
-
Omar Alonso. Implementing crowdsourcing-based relevance experimentation: An industrial perspective. Information Retrieval, 16(2):101-120, 2013.
-
(2013)
Information Retrieval
, vol.16
, Issue.2
, pp. 101-120
-
-
Alonso, O.1
-
5
-
-
65249129950
-
Crowdsourcing for relevance evaluation
-
Omar Alonso, Daniel E. Rose, and Benjamin Stewart. Crowdsourcing for relevance evaluation. ACM SigIR Forum, 42(2):9-15, 2008.
-
(2008)
ACM SigIR Forum
, vol.42
, Issue.2
, pp. 9-15
-
-
Alonso, O.1
Rose, D.E.2
Stewart, B.3
-
6
-
-
84858211339
-
Collaborative workflow for crowdsourcing translation
-
Vamshi Ambati, Stephan Vogel, and Jaime Carbonell. Collaborative workflow for crowdsourcing translation. In CSCW, 2012.
-
(2012)
CSCW
-
-
Ambati, V.1
Vogel, S.2
Carbonell, J.3
-
7
-
-
85066422029
-
Community clustering: Leveraging an academic crowd to form coherent conference sessions
-
Paul André, Haoqi Zhang, Juho Kim, Lydia B. Chilton, Steven P. Dow, and Robert C. Miller. Community clustering: Leveraging an academic crowd to form coherent conference sessions. In HCOMP, 2013.
-
(2013)
HCOMP
-
-
André, P.1
Zhang, H.2
Kim, J.3
Chilton, L.B.4
Dow, S.P.5
Miller, R.C.6
-
9
-
-
85015207276
-
Distilling the wisdom of crowds: Prediction markets versus prediction polls
-
Pavel D. Atanasov, Phillip Rescober, Eric Stone, Samuel A. Swift, Emile Servan-Schreiber, Philip E. Tetlock, Lyle Ungar, and Barbara Mellers. Distilling the wisdom of crowds: Prediction markets versus prediction polls. Management Science, 63(3):691-706, 2017.
-
(2017)
Management Science
, vol.63
, Issue.3
, pp. 691-706
-
-
Atanasov, P.D.1
Rescober, P.2
Stone, E.3
Swift, S.A.4
Servan-Schreiber, E.5
Tetlock, P.E.6
Ungar, L.7
Mellers, B.8
-
10
-
-
85044085595
-
Crowdsourcing for multiple-choice question answering
-
Bahadir Ismail Aydin, Yavuz Selim Yilmaz, Yaliang Li, Qi Li, Jing Gao, and Murat Demirbas. Crowdsourcing for multiple-choice question answering. In AAAI, 2014.
-
(2014)
AAAI
-
-
Aydin, B.I.1
Yilmaz, Y.S.2
Li, Y.3
Li, Q.4
Gao, J.5
Demirbas, M.6
-
12
-
-
84901658129
-
Two reasons to make aggregated probability forecasts more extreme
-
Jonathan Baron, Barbara A. Mellers, Philip E. Tetlock, Eric Stone, and Lyle H. Ungar. Two reasons to make aggregated probability forecasts more extreme. Decision Analysis, 11(2):133-145, 2014.
-
(2014)
Decision Analysis
, vol.11
, Issue.2
, pp. 133-145
-
-
Baron, J.1
Mellers, B.A.2
Tetlock, P.E.3
Stone, E.4
Ungar, L.H.5
-
13
-
-
77957041389
-
Results from a dozen years of election futures markets research
-
Joyce Berg, Robert Forsythe, Forrest Nelson, and Thomas Rietz. Results from a dozen years of election futures markets research. Handbook of experimental economics results, 1:742-751, 2008.
-
(2008)
Handbook of Experimental Economics Results
, vol.1
, pp. 742-751
-
-
Berg, J.1
Forsythe, R.2
Nelson, F.3
Rietz, T.4
-
14
-
-
78649604206
-
Soylent: A word processor with a crowd inside
-
Michael Bernstein, Greg Little, Rob Miller, Bjoern Hartmann, Mark Ackerman, David Karger, David Crowell, and Katrina Panovich. Soylent: A word processor with a crowd inside. In UIST, 2010.
-
(2010)
UIST
-
-
Bernstein, M.1
Little, G.2
Miller, R.3
Hartmann, B.4
Ackerman, M.5
Karger, D.6
Crowell, D.7
Panovich, K.8
-
15
-
-
85013072822
-
Attendee-sourcing: Exploring the design space of community-informed conference scheduling
-
Anant Bhardwaj, Juho Kim, Steven P. Dow, David Karger, Sam Madden, Robert C. Miller, and Haoqi Zhang. Attendee-sourcing: Exploring the design space of community-informed conference scheduling. In HCOMP, 2014.
-
(2014)
HCOMP
-
-
Bhardwaj, A.1
Kim, J.2
Dow, S.P.3
Karger, D.4
Madden, S.5
Miller, R.C.6
Zhang, H.7
-
17
-
-
76249118968
-
Topic models
-
David M. Blei and John D. Lafferty. Topic models. Text mining: Classification, clustering, and applications, 10(71):34, 2009.
-
(2009)
Text Mining: Classification, Clustering, and Applications
, vol.10
, Issue.71
, pp. 34
-
-
Blei, D.M.1
Lafferty, J.D.2
-
18
-
-
0141607824
-
Latent dirichlet allocation
-
Jan
-
David M. Blei, Andrew Y. Ng,, and Michael I. Jordan. Latent Dirichlet allocation. Journal of Machine Learning Research, 3(Jan):993-1022, 2003.
-
(2003)
Journal of Machine Learning Research
, vol.3
, pp. 993-1022
-
-
Blei, D.M.1
Ng, A.Y.2
Jordan, M.I.3
-
19
-
-
85048032062
-
Applications of topic models
-
Jordan Boyd-Graber, Yuening Hu, and David Mimno. Applications of topic models. Foundations and Trends in Information Retrieval, 11(2-3):143-296, 2017.
-
(2017)
Foundations and Trends in Information Retrieval
, vol.11
, Issue.2-3
, pp. 143-296
-
-
Boyd-Graber, J.1
Hu, Y.2
Mimno, D.3
-
20
-
-
85114255699
-
Crowdsourcing multi-label classification for taxonomy creation
-
Jonathan Bragg, Mausam, and Daniel S. Weld. Crowdsourcing multi-label classification for taxonomy creation. In HCOMP, 2013.
-
(2013)
HCOMP
-
-
Bragg, J.1
Mausam2
Weld, D.S.3
-
21
-
-
85048739379
-
FeatureInsight: Visual support for error-driven feature ideation in text classification
-
Michael Brooks, Saleema Amershi, Bongshin Lee, Steven Drucker, Ashish Kapoor, and Patrice Simard. FeatureInsight: Visual support for error-driven feature ideation in text classification. In IEEE VAST, 2015.
-
(2015)
IEEE VAST
-
-
Brooks, M.1
Amershi, S.2
Lee, B.3
Drucker, S.4
Kapoor, A.5
Simard, P.6
-
22
-
-
79960392344
-
Amazon's Mechanical Turk: A new source of inexpensive, yet high-quality, data?
-
Michael Buhrmester, Tracy Kwang, and Samuel D. Gosling. Amazon's Mechanical Turk: A new source of inexpensive, yet high-quality, data? Perspectives on Psychological Science, 6(1):3-5, 2011.
-
(2011)
Perspectives on Psychological Science
, vol.6
, Issue.1
, pp. 3-5
-
-
Buhrmester, M.1
Kwang, T.2
Gosling, S.D.3
-
25
-
-
85048752294
-
-
Working paper on PsyArXiv
-
Logan Casey, Jesse Chandler, Adam Seth Levine, Andrew Proctor, and Dara Z. Strolovitch. Intertemporal differences among MTurk worker demographics. Working paper on PsyArXiv, 2017.
-
(2017)
Intertemporal Differences Among MTurk Worker Demographics
-
-
Casey, L.1
Chandler, J.2
Levine, A.S.3
Proctor, A.4
Strolovitch, D.Z.5
-
27
-
-
84894669519
-
Nonnaïveté among Amazon Mechanical Turk workers: Consequences and solutions for behavioral researchers
-
Jesse Chandler, Pam Mueller, and Gabriele Paolacci. Nonnaïveté among Amazon Mechanical Turk workers: Consequences and solutions for behavioral researchers. Behavior Research Methods, 46(1):112-130, 2014.
-
(2014)
Behavior Research Methods
, vol.46
, Issue.1
, pp. 112-130
-
-
Chandler, J.1
Mueller, P.2
Paolacci, G.3
-
28
-
-
85020091313
-
Lie for a dime: When most prescreening responses are honest but most study participants are imposters
-
Jesse J. Chandler and Gabriele Paolacci. Lie for a dime: When most prescreening responses are honest but most study participants are imposters. Social Psychological and Personality Science, 8(5):500-508, 2017.
-
(2017)
Social Psychological and Personality Science
, vol.8
, Issue.5
, pp. 500-508
-
-
Chandler, J.J.1
Paolacci, G.2
-
29
-
-
84863381525
-
Reading tea leaves: How humans interpret topic models
-
Jonathan Chang, Jordan Boyd-Graber, Chong Wang, Sean Gerrish, and David M. Blei. Reading tea leaves: How humans interpret topic models. In NIPS, 2009.
-
(2009)
NIPS
-
-
Chang, J.1
Boyd-Graber, J.2
Wang, C.3
Gerrish, S.4
Blei, D.M.5
-
31
-
-
80053191054
-
A utility framework for bounded-loss market makers
-
Yiling Chen and David M. Pennock. A utility framework for bounded-loss market makers. In UAI, 2007.
-
(2007)
UAI
-
-
Chen, Y.1
Pennock, D.M.2
-
32
-
-
84879759041
-
A new understanding of prediction markets via no-regret learning
-
Yiling Chen and Jennifer Wortman Vaughan. A new understanding of prediction markets via no-regret learning. In ACM EC, 2010.
-
(2010)
ACM EC
-
-
Chen, Y.1
Vaughan, J.W.2
-
33
-
-
85005980999
-
Mathematical foundations of social computing
-
December
-
Yiling Chen, Arpita Ghosh, Michael Kearns, Tim Roughgarden, and Jennifer Wortman Vaughan. Mathematical foundations of social computing. Communications of the ACM, 59(12):102-108, December 2016.
-
(2016)
Communications of The ACM
, vol.59
, Issue.12
, pp. 102-108
-
-
Chen, Y.1
Ghosh, A.2
Kearns, M.3
Roughgarden, T.4
Vaughan, J.W.5
-
34
-
-
84900440968
-
Frenzy: Collaborative data organization for creating conference sessions
-
Lydia Chilton, Juho Kim, Paul André, Felicia Cordeiro, James Landay, Dan Weld, Steven P. Dow, Robert C. Miller, and Haoqi Zhang. Frenzy: Collaborative data organization for creating conference sessions. In CHI, 2014.
-
(2014)
CHI
-
-
Chilton, L.1
Kim, J.2
André, P.3
Cordeiro, F.4
Landay, J.5
Weld, D.6
Dow, S.P.7
Miller, R.C.8
Zhang, H.9
-
35
-
-
84877981957
-
Cascade: Crowdsourcing taxonomy creation
-
Lydia B. Chilton, Greg Little, Darren Edge, Daniel S. Weld, and James A. Landay. Cascade: Crowdsourcing taxonomy creation. In CHI, 2013.
-
(2013)
CHI
-
-
Chilton, L.B.1
Little, G.2
Edge, D.3
Weld, D.S.4
Landay, J.A.5
-
36
-
-
85021102916
-
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
-
Special on Social and Technical Trade-Offs
-
Alexandra Chouldechova. Fair prediction with disparate impact: A study of bias in recidivism prediction instruments. Big Data, Special Issue on Social and Technical Trade-Offs, 2017.
-
(2017)
Big Data
-
-
Chouldechova, A.1
-
37
-
-
85029021286
-
Algorithmic decision making and the cost of fairness
-
Sam Corbett-Davies, Emma Pierson, Avi Feller, Sharad Goel, and Aziz Huq. Algorithmic decision making and the cost of fairness. In KDD, 2017.
-
(2017)
KDD
-
-
Corbett-Davies, S.1
Pierson, E.2
Feller, A.3
Goel, S.4
Huq, A.5
-
38
-
-
84893032455
-
Crowdsourced judgement elicitation with endogenous proficiency
-
Anirban Dasgupta and Arpita Ghosh. Crowdsourced judgement elicitation with endogenous proficiency. In WWW, 2013.
-
(2013)
WWW
-
-
Dasgupta, A.1
Ghosh, A.2
-
39
-
-
84920879928
-
Top-k and clustering with noisy comparisons
-
Susan B. Davidson, Sanjeev Khanna, Tova Milo, and Sudeepa Roy. Top-k and clustering with noisy comparisons. ACM Transactions on Database Systems, 39(4):35:1-39, 2014.
-
(2014)
ACM Transactions on Database Systems
, vol.39
, Issue.4
, pp. 351-3539
-
-
Davidson, S.B.1
Khanna, S.2
Milo, T.3
Roy, S.4
-
41
-
-
84860873929
-
Zencrowd: Leveraging probabilistic reasoning and crowdsourcing techniques for large-scale entity linking
-
Gianluca Demartini, Djellel Eddine Difallah, and Philippe Cudré-Mauroux. Zencrowd: Leveraging probabilistic reasoning and crowdsourcing techniques for large-scale entity linking. In WWW, 2012.
-
(2012)
WWW
-
-
Demartini, G.1
Difallah, D.E.2
Cudré-Mauroux, P.3
-
42
-
-
85198028989
-
ImageNet: A large-scale hierarchical image database
-
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. ImageNet: A large-scale hierarchical image database. In CVPR, 2009.
-
(2009)
CVPR
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.-J.4
Li, K.5
Fei-Fei, L.6
-
43
-
-
84925663297
-
Algorithm aversion: People erroneously avoid algorithms after seeing them err
-
Berkeley J. Dietvorst, Joseph P. Simmons, and Cade Massey. Algorithm aversion: People erroneously avoid algorithms after seeing them err. Journal of Experimental Psychology: General, 144(1):114, 2015.
-
(2015)
Journal of Experimental Psychology: General
, vol.144
, Issue.1
, pp. 114
-
-
Dietvorst, B.J.1
Simmons, J.P.2
Massey, C.3
-
44
-
-
84969926799
-
Overcoming algorithm aversion: People will use imperfect algorithms if they can (even slightly) modify them
-
Berkeley J. Dietvorst, Joseph P. Simmons, and Cade Massey. Overcoming algorithm aversion: People will use imperfect algorithms if they can (even slightly) modify them. Management Science, 2016.
-
(2016)
Management Science
-
-
Dietvorst, B.J.1
Simmons, J.P.2
Massey, C.3
-
45
-
-
84968747480
-
The dynamics of micro-task crowdsourcing: The case of Amazon MTurk
-
Djellel Eddine Difallah, Michele Catasta, Gianluca Demartini, Panagiotis G. Ipeirotis, and Philippe Cudré-Mauroux. The dynamics of micro-task crowdsourcing: The case of Amazon MTurk. In WWW, 2015.
-
(2015)
WWW
-
-
Difallah, D.E.1
Catasta, M.2
Demartini, G.3
Ipeirotis, P.G.4
Cudré-Mauroux, P.5
-
46
-
-
84867131265
-
Crowdsourcing and all-pay auctions
-
Dominic DiPalantino and Milan Vojnovic. Crowdsourcing and all-pay auctions. In ACM EC, 2009.
-
(2009)
ACM EC
-
-
DiPalantino, D.1
Vojnovic, M.2
-
48
-
-
0036304961
-
The perceived utility of human and automated AIDS in a visual detection task
-
Mary T. Dzindolet, Linda G. Pierce, Hall P. Beck, and Lloyd A. Dawe. The perceived utility of human and automated aids in a visual detection task. Human Factors, 44(1): 79-94, 2002.
-
(2002)
Human Factors
, vol.44
, Issue.1
, pp. 79-94
-
-
Dzindolet, M.T.1
Pierce, L.G.2
Beck, H.P.3
Dawe, L.A.4
-
50
-
-
84957558382
-
Icrowd: An adaptive crowdsourcing framework
-
Ju Fan, Guoliang Li, Beng Chin Ooi, Kian-lee Tan, and Jianhua Feng. icrowd: An adaptive crowdsourcing framework. In SIGMOD, 2015.
-
(2015)
SIGMOD
-
-
Fan, J.1
Li, G.2
Ooi, B.C.3
Tan, K.-L.4
Feng, J.5
-
51
-
-
84939609466
-
Improving paid microtasks through gamification and adaptive furtherance incentives
-
Oluwaseyi Feyisetan, Elena Simperl, Max Van Kleek, and Nigel Shadbolt. Improving paid microtasks through gamification and adaptive furtherance incentives. In WWW, 2015.
-
(2015)
WWW
-
-
Feyisetan, O.1
Simperl, E.2
Van Kleek, M.3
Shadbolt, N.4
-
53
-
-
84998579474
-
Exact exponent in optimal rates for crowdsourcing
-
Chao Gao, Yu Lu, and Dengyong Zhou. Exact exponent in optimal rates for crowdsourcing. In ICML, 2016.
-
(2016)
ICML
-
-
Gao, C.1
Lu, Y.2
Zhou, D.3
-
54
-
-
84876121693
-
Quality expectation-variance tradeoffs in crowdsourcing contests
-
Xi Alice Gao, Yoram Bachrach, Peter Key, and Thore Graepel. Quality expectation-variance tradeoffs in crowdsourcing contests. In AAAI, 2012.
-
(2012)
AAAI
-
-
Gao, X.A.1
Bachrach, Y.2
Key, P.3
Graepel, T.4
-
55
-
-
85048777720
-
Trick or treat: Putting peer prediction to the test
-
Xi Alice Gao, Andrew Mao, Yiling Chen, and Ryan Prescott Adams. Trick or treat: Putting peer prediction to the test. In ACM EC, 2014.
-
(2014)
ACM EC
-
-
Gao, X.A.1
Mao, A.2
Chen, Y.3
Adams, R.P.4
-
56
-
-
84959147559
-
Using keyword spotting to help humans correct captioning faster
-
Yashesh Gaur, Florian Metze, Yajie Miao, and Jeffrey P. Bigham. Using keyword spotting to help humans correct captioning faster. In INTERSPEECH, 2015.
-
(2015)
INTERSPEECH
-
-
Gaur, Y.1
Metze, F.2
Miao, Y.3
Bigham, J.P.4
-
57
-
-
84994200760
-
Manipulating word lattices to incorporate human corrections
-
Yashesh Gaur, Florian Metze, and Jeffrey P. Bigham. Manipulating word lattices to incorporate human corrections. In INTERSPEECH, 2016.
-
(2016)
INTERSPEECH
-
-
Gaur, Y.1
Metze, F.2
Bigham, J.P.3
-
58
-
-
85048799594
-
Scalable annotation of fine-grained objects without experts
-
Timnit Gebru, Jonathan Krause, Jia Deng, and Li Fei-Fei. Scalable annotation of fine-grained objects without experts. In CHI, 2017.
-
(2017)
CHI
-
-
Gebru, T.1
Krause, J.2
Deng, J.3
Fei-Fei, L.4
-
59
-
-
79960270083
-
Who moderates the moderators? Crowdsourcing abuse detection in user-generated content
-
Arpita Ghosh, Satyen Kale, and Preston McAfee. Who moderates the moderators? Crowdsourcing abuse detection in user-generated content. In ACM EC, 2011.
-
(2011)
ACM EC
-
-
Ghosh, A.1
Kale, S.2
McAfee, P.3
-
61
-
-
84921730796
-
The economic and cognitive costs of annoying display advertisements
-
-752
-
Daniel G. Goldstein, Siddharth Suri, R. Preston McAfee, Matthew Ekstrand-Abueg, and Fernando Diaz. The economic and cognitive costs of annoying display advertisements. Journal of Marketing Research, 51(6):742--752, 2014.
-
(2014)
Journal of Marketing Research
, vol.51
, Issue.6
, pp. 742
-
-
Goldstein, D.G.1
Suri, S.2
Preston McAfee, R.3
Ekstrand-Abueg, M.4
Diaz, F.5
-
67
-
-
0037258594
-
Combinatorial information market design
-
Robin Hanson. Combinatorial information market design. Information Systems Frontiers, 5(1):105-119, 2003.
-
(2003)
Information Systems Frontiers
, vol.5
, Issue.1
, pp. 105-119
-
-
Hanson, R.1
-
68
-
-
84856146589
-
You're hired! An examination of crowdsourcing incentive models in human resource tasks
-
Christopher G. Harris. You're hired! An examination of crowdsourcing incentive models in human resource tasks. In WSDM Workshop on Crwdsourcing for Search and Data Mining, 2011.
-
(2011)
WSDM Workshop on Crwdsourcing for Search and Data Mining
-
-
Harris, C.G.1
-
69
-
-
77953992027
-
Crowdsourcing graphical perception: Using Mechanical Turk to assess visualization design
-
Jeffrey Heer and Michael Bostock. Crowdsourcing graphical perception: Using Mechanical Turk to assess visualization design. In CHI, 2010.
-
(2010)
CHI
-
-
Heer, J.1
Bostock, M.2
-
71
-
-
84886397297
-
Online task assignment in crowdsourcing markets
-
Chien-Ju Ho and Jennifer Wortman Vaughan. Online task assignment in crowdsourcing markets. In AAAI, 2012.
-
(2012)
AAAI
-
-
Ho, C.-J.1
Vaughan, J.W.2
-
72
-
-
84897504552
-
Adaptive task assignment for crowdsourced classification
-
Chien-Ju Ho, Shahin Jabbari, and Jennifer Wortman Vaughan. Adaptive task assignment for crowdsourced classification. In ICML, 2013.
-
(2013)
ICML
-
-
Ho, C.-J.1
Jabbari, S.2
Vaughan, J.W.3
-
74
-
-
84958047672
-
Adaptive contract design for crowdsourcing markets: Bandit algorithms for repeated principal-agent problems
-
Chien-Ju Ho, Aleksandrs Slivkins, and Jennifer Wortman Vaughan. Adaptive contract design for crowdsourcing markets: Bandit algorithms for repeated principal-agent problems. Journal of Artificial Intelligence Research, 55:317-359, 2016.
-
(2016)
Journal of Artificial Intelligence Research
, vol.55
, pp. 317-359
-
-
Ho, C.-J.1
Slivkins, A.2
Vaughan, J.W.3
-
75
-
-
79960844583
-
The online laboratory: Conducting experiments in a real labor market
-
John J. Horton, David Rand, and Richard Zeckhauser. The online laboratory: Conducting experiments in a real labor market. Experimental Economics, 14(3):399-425, 2011.
-
(2011)
Experimental Economics
, vol.14
, Issue.3
, pp. 399-425
-
-
Horton, J.J.1
Rand, D.2
Zeckhauser, R.3
-
76
-
-
84901496744
-
Interactive topic modeling
-
Yuening Hu, Jordan Boyd-Graber, Brianna Satinoff, and Alison Smith. Interactive topic modeling. Machine Learning, 95:423-469, 2014.
-
(2014)
Machine Learning
, vol.95
, pp. 423-469
-
-
Hu, Y.1
Boyd-Graber, J.2
Satinoff, B.3
Smith, A.4
-
77
-
-
84899004690
-
Turkopticon: Interrupting worker invisibility in Amazon Mechanical Turk
-
Lilly C. Irani and M. Six Silberman. Turkopticon: Interrupting worker invisibility in Amazon Mechanical Turk. In CHI, 2013.
-
(2013)
CHI
-
-
Irani, L.C.1
Six Silberman, M.2
-
78
-
-
85021626555
-
Understanding workers, developing effective tasks, and enhancing marketplace dynamics: A study of a large crowdsourcing marketplace
-
Ayush Jain, Akash Das Sarma, Aditya Parameswaran, and Jennifer Widom. Understanding workers, developing effective tasks, and enhancing marketplace dynamics: A study of a large crowdsourcing marketplace. Proceedings of the VLDB Endowment, 10(7):829-840, 2017.
-
(2017)
Proceedings of The VLDB Endowment
, vol.10
, Issue.7
, pp. 829-840
-
-
Jain, A.1
Sarma, A.D.2
Parameswaran, A.3
Widom, J.4
-
79
-
-
85029113185
-
-
CoRR
-
Jongbin Jung, Connor Concannon, Ravi Shro, Sharad Goel, and Daniel G. Goldstein. Simple rules for complex decisions. CoRR arXiv:1702.04690, 2017.
-
(2017)
Simple Rules for Complex Decisions
-
-
Jung, J.1
Concannon, C.2
Shro, R.3
Goel, S.4
Goldstein, D.G.5
-
81
-
-
85006100710
-
Directions in hybrid intelligence: Complementing AI systems with human intelligence
-
Ece Kamar. Directions in hybrid intelligence: Complementing AI systems with human intelligence. Abstract for IJCAI Early Career Spotlight Track Talk, 2016.
-
(2016)
Abstract for IJCAI Early Career Spotlight Track Talk
-
-
Kamar, E.1
-
82
-
-
84906997869
-
Incentives for truthful reporting in crowdsourcing (short paper)
-
Ece Kamar and Eric Horvitz. Incentives for truthful reporting in crowdsourcing (short paper). In AAMAS, 2012.
-
(2012)
AAMAS
-
-
Kamar, E.1
Horvitz, E.2
-
83
-
-
85048771058
-
Truth serums for massively crowdsourced evaluation tasks
-
Vijay Kamble, David Marn, Nihar Shah, Abhay Parekh, and Kannan Ramachandran. Truth serums for massively crowdsourced evaluation tasks. CoRR arXiv:1507.07045, 2015.
-
(2015)
CoRR
-
-
Kamble, V.1
Marn, D.2
Shah, N.3
Parekh, A.4
Ramachandran, K.5
-
84
-
-
85083954103
-
Bayesian representation learning with oracle constraints
-
Theofanis Karaletsos, Serge Belongie, and Gunnar Rätsch. Bayesian representation learning with oracle constraints. In ICLR, 2016.
-
(2016)
ICLR
-
-
Karaletsos, T.1
Belongie, S.2
Rätsch, G.3
-
85
-
-
85162483531
-
Iterative learning for reliable crowdsourcing systems
-
David Karger, Sewoong Oh, and Devavrat Shah. Iterative learning for reliable crowdsourcing systems. In NIPS, 2011.
-
(2011)
NIPS
-
-
Karger, D.1
Oh, S.2
Shah, D.3
-
86
-
-
84896842331
-
Budget-optimal task allocation for reliable crowdsourcing systems
-
David Karger, Sewoong Oh, and Devavrat Shah. Budget-optimal task allocation for reliable crowdsourcing systems. Operations Research, 62:1-24, 2014.
-
(2014)
Operations Research
, vol.62
, pp. 1-24
-
-
Karger, D.1
Oh, S.2
Shah, D.3
-
87
-
-
84860863465
-
In search of quality in crowdsourcing for search engine evaluation
-
Gabriella Kazai. In search of quality in crowdsourcing for search engine evaluation. In ECIR, 2011.
-
(2011)
ECIR
-
-
Kazai, G.1
-
88
-
-
85011336703
-
Achieving budget-optimality with adaptive schemes in crowdsourcing
-
Ashish Khetan and Sewoong Oh. Achieving budget-optimality with adaptive schemes in crowdsourcing. In NIPS, 2016.
-
(2016)
NIPS
-
-
Khetan, A.1
Oh, S.2
-
89
-
-
84908590703
-
Bayesian classifier combination
-
Hyun-Chul Kim and Zoubin Ghahramani. Bayesian classifier combination. In AISTATS, 2012.
-
(2012)
AISTATS
-
-
Kim, H.-C.1
Ghahramani, Z.2
-
90
-
-
85014759092
-
Mechanical novel: Crowdsourcing complex work through reflection and revision
-
Joy Kim, Sarah Sterman, Allegra Argent Beal Cohen, and Michael S. Bernstein. Mechanical novel: Crowdsourcing complex work through reflection and revision. In CSCW, 2017.
-
(2017)
CSCW
-
-
Kim, J.1
Sterman, S.2
Cohen, A.A.B.3
Bernstein, M.S.4
-
91
-
-
84887573860
-
Cobi: A community-informed conference scheduling tool
-
Juho Kim, Haoqi Zhang, Paul André, Lydia B. Chilton, Wendy Mackay, Michel Beaudouin-Lafon, Robert C. Miller, and Steven P. Dow. Cobi: A community-informed conference scheduling tool. In UIST, 2013.
-
(2013)
UIST
-
-
Kim, J.1
Zhang, H.2
André, P.3
Chilton, L.B.4
Mackay, W.5
Beaudouin-Lafon, M.6
Miller, R.C.7
Dow, S.P.8
-
92
-
-
57649217556
-
Crowdsourcing user studies with Mechanical Turk
-
Aniket Kittur, Ed Chi, and Bongwon Suh. Crowdsourcing user studies with Mechanical Turk. In CHI, 2008.
-
(2008)
CHI
-
-
Kittur, A.1
Chi, E.2
Suh, B.3
-
94
-
-
84874886217
-
The future of crowd work
-
Aniket Kittur, Jeffrey V. Nickerson, Michael Bernstein, Elizabeth Gerber, Aaron Shaw, John Zimmerman, Matt Lease, and John Horton. The future of crowd work. In CSCW, 2013.
-
(2013)
CSCW
-
-
Kittur, A.1
Nickerson, J.V.2
Bernstein, M.3
Gerber, E.4
Shaw, A.5
Zimmerman, J.6
Lease, M.7
Horton, J.8
-
95
-
-
85048455773
-
Understanding black-box predictions via influence functions
-
Pang Wei Koh and Percy Liang. Understanding black-box predictions via influence functions. In ICML, 2017.
-
(2017)
ICML
-
-
Koh, P.W.1
Liang, P.2
-
96
-
-
85017143359
-
Crowdsourcing in computer vision
-
Adriana Kovashka, Olga Russakovsky, Li Fei-Fei, and Kristen Grauman. Crowdsourcing in computer vision. Foundations and Trends in Computer Graphics and Vision, 10(3):177-243, 2016.
-
(2016)
Foundations and Trends in Computer Graphics and Vision
, vol.10
, Issue.3
, pp. 177-243
-
-
Kovashka, A.1
Russakovsky, O.2
Fei-Fei, L.3
Grauman, K.4
-
98
-
-
84869855459
-
A readability evaluation of real-time crowd captions in the classroom
-
Raja S. Kushalnagar, Walter S. Lasecki, and Jeffrey P. Bigham. A readability evaluation of real-time crowd captions in the classroom. In ASSETS, 2012.
-
(2012)
ASSETS
-
-
Kushalnagar, R.S.1
Lasecki, W.S.2
Bigham, J.P.3
-
99
-
-
84869835491
-
Online quality control for real-time crowd captioning
-
Walter S. Lasecki and Jeffrey P. Bigham. Online quality control for real-time crowd captioning. In ASSETS, 2012.
-
(2012)
ASSETS
-
-
Lasecki, W.S.1
Bigham, J.P.2
-
100
-
-
84869046812
-
Real-time captioning by groups of nonexperts
-
Walter S. Lasecki, Christopher D. Miller, Adam Sadilek, Andrew Abumoussa, Donato Bor-rello, Raja Kushalnagar, and Jeffrey P. Bigham. Real-time captioning by groups of nonexperts. In UIST, 2012.
-
(2012)
UIST
-
-
Lasecki, W.S.1
Miller, C.D.2
Sadilek, A.3
Abumoussa, A.4
Bor-Rello, D.5
Kushalnagar, R.6
Bigham, J.P.7
-
101
-
-
84877983946
-
Warping time for more effective real-time crowdsourcing
-
Walter S. Lasecki, Christopher D. Miller, and Jeffrey P. Bigham. Warping time for more effective real-time crowdsourcing. In CHI, 2013.
-
(2013)
CHI
-
-
Lasecki, W.S.1
Miller, C.D.2
Bigham, J.P.3
-
102
-
-
85028647072
-
Scribe: Deep integration of human and machine intelligence to caption speech in real-time
-
Walter S. Lasecki, Christopher D. Miller, Iftekhar Naim, Raja Kushalnagar, Adam Sadilek, Daniel Gildea, and Jeffrey P. Bigham. Scribe: Deep integration of human and machine intelligence to caption speech in real-time. Communications of the ACM, 60(11), 2017.
-
(2017)
Communications of The ACM
, vol.60
, Issue.11
-
-
Lasecki, W.S.1
Miller, C.D.2
Naim, I.3
Kushalnagar, R.4
Sadilek, A.5
Gildea, D.6
Bigham, J.P.7
-
103
-
-
85015044190
-
Curiosity killed the cat, but makes crowdwork better
-
Edith Law, Ming Yin, Joslin Goh, Kevin Chen, Michael Terry, and Krzysztof Z. Gajos. Curiosity killed the cat, but makes crowdwork better. In CHI, 2016.
-
(2016)
CHI
-
-
Law, E.1
Yin, M.2
Goh, J.3
Chen, K.4
Terry, M.5
Gajos, K.Z.6
-
105
-
-
84900388998
-
Experiments on motivational feedback for crowdsourced workers
-
Tak Yeon Lee, Casey Dugan, Werner Geyer, Tristan Ratchford, Jamie Rasmussen, N. Sadat Shami, and Stela Lupushor. Experiments on motivational feedback for crowdsourced workers. In ICWSM, 2013.
-
(2013)
ICWSM
-
-
Lee, T.Y.1
Dugan, C.2
Geyer, W.3
Ratchford, T.4
Rasmussen, J.5
Sadat Shami, N.6
Lupushor, S.7
-
106
-
-
0034352262
-
The practical use of the A* algorithm for exact multiple sequence alignment
-
Martin Lermen and Knut Reinert. The practical use of the A* algorithm for exact multiple sequence alignment. Journal of Computational Biology, 7(5):655-671, 2000.
-
(2000)
Journal of Computational Biology
, vol.7
, Issue.5
, pp. 655-671
-
-
Lermen, M.1
Reinert, K.2
-
107
-
-
84982126145
-
Crowdsourced data management: A survey
-
Guoliang Li, Jiannan Wang, Yudian Zheng, and Michael J. Franklin. Crowdsourced data management: A survey. IEEE Transactions on Knowledge and Data Engineering, 28(9): 2296-2319, 2016.
-
(2016)
IEEE Transactions on Knowledge and Data Engineering
, vol.28
, Issue.9
, pp. 2296-2319
-
-
Li, G.1
Wang, J.2
Zheng, Y.3
Franklin, M.J.4
-
108
-
-
84938779276
-
A confidence-aware approach for truth discovery on long-tail data
-
Qi Li, Yaliang Li, Jing Gao, Lu Su, Bo Zhao, Murat Demirbas, Wei Fan, and Jiawei Han. A confidence-aware approach for truth discovery on long-tail data. Proceedings of the VLDB Endowment, 8(4):425-436, 2014a.
-
(2014)
Proceedings of The VLDB Endowment
, vol.8
, Issue.4
, pp. 425-436
-
-
Li, Q.1
Li, Y.2
Gao, J.3
Su, L.4
Zhao, B.5
Demirbas, M.6
Fan, W.7
Han, J.8
-
109
-
-
84904367424
-
Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation
-
Qi Li, Yaliang Li, Jing Gao, Bo Zhao, Wei Fan, and Jiawei Han. Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation. In SIGMOD, 2014b.
-
(2014)
SIGMOD
-
-
Li, Q.1
Li, Y.2
Gao, J.3
Zhao, B.4
Fan, W.5
Han, J.6
-
111
-
-
84939895552
-
The relationship between motivation, monetary compensation, and data quality among US- And India-based workers on Mechanical Turk
-
Leib Litman, Jonathan Robinson, and Cheskie Rosenzweig. The relationship between motivation, monetary compensation, and data quality among US- and India-based workers on Mechanical Turk. Behavioral Research Methods, 47(2):519-528, 2014.
-
(2014)
Behavioral Research Methods
, vol.47
, Issue.2
, pp. 519-528
-
-
Litman, L.1
Robinson, J.2
Rosenzweig, C.3
-
112
-
-
84877752474
-
Variational inference for crowdsourcing
-
Qiang Liu, Jian Peng, and Alexander Ihler. Variational inference for crowdsourcing. In NIPS, 2012a.
-
(2012)
NIPS
-
-
Liu, Q.1
Peng, J.2
Ihler, A.3
-
113
-
-
84898947098
-
Scoring workers in crowdsourcing: How many control questions are enough?
-
Qiang Liu, Mark Steyvers, and Alexander Ihler. Scoring workers in crowdsourcing: How many control questions are enough? In NIPS, 2013.
-
(2013)
NIPS
-
-
Liu, Q.1
Steyvers, M.2
Ihler, A.3
-
114
-
-
84873191280
-
CDAS: A crowdsourcing data analytics system
-
Xuan Liu, Meiyu Lu, Beng Chin Ooi, Yanyan Shen, Sai Wu, and Meihui Zhang. CDAS: A crowdsourcing data analytics system. Proceedings of the VLDB Endowment, 5(10):1040-1051, 2012b.
-
(2012)
Proceedings of The VLDB Endowment
, vol.5
, Issue.10
, pp. 1040-1051
-
-
Liu, X.1
Lu, M.2
Ooi, B.C.3
Shen, Y.4
Wu, S.5
Zhang, M.6
-
117
-
-
84866050054
-
Intelligible models for classification and regression
-
Yin Lou, Rich Caruana, and Johannes Gehrke. Intelligible models for classification and regression. In KDD, 2012.
-
(2012)
KDD
-
-
Lou, Y.1
Caruana, R.2
Gehrke, J.3
-
118
-
-
84991616590
-
Accurate intelligible models with pairwise interactions
-
Yin Lou, Rich Caruana, Johannes Gehrke, and Giles Hooker. Accurate intelligible models with pairwise interactions. In KDD, 2013.
-
(2013)
KDD
-
-
Lou, Y.1
Caruana, R.2
Gehrke, J.3
Hooker, G.4
-
119
-
-
84954098959
-
FaitCrowd: Fine grained truth discovery for crowdsourced data aggregation
-
Fenglong Ma, Yaliang Li, Qi Li, Minghui Qiu, Jing Gao, Shi Zhi, Lu Su, Bo Zhao, Heng Ji, and Jiawei Han. FaitCrowd: Fine grained truth discovery for crowdsourced data aggregation. In SIGMOD, 2015.
-
(2015)
SIGMOD
-
-
Ma, F.1
Li, Y.2
Li, Q.3
Qiu, M.4
Gao, J.5
Zhi, S.6
Su, L.7
Zhao, B.8
Ji, H.9
Han, J.10
-
121
-
-
85039412602
-
Heuristics for designing enjoyable user interfaces: Lessons from computer games
-
Thomas W. Malone. Heuristics for designing enjoyable user interfaces: Lessons from computer games. In CHI, 1982.
-
(1982)
CHI
-
-
Malone, T.W.1
-
122
-
-
84860851183
-
Human-powered sorts and joins
-
Adam Marcus, Eugene Wu, David Karger, Samuel Madden, and Robert Miller. Human-powered sorts and joins. Proceedings of the VLDB Endowment, 5(1):13-24, 2011.
-
(2011)
Proceedings of The VLDB Endowment
, vol.5
, Issue.1
, pp. 13-24
-
-
Marcus, A.1
Wu, E.2
Karger, D.3
Madden, S.4
Miller, R.5
-
124
-
-
82655180226
-
Conducting behavioral research on Amazon's Mechanical Turk
-
Winter Mason and Siddharth Suri. Conducting behavioral research on Amazon's Mechanical Turk. Behavior Research Methods, 44(1):1-23, 2012.
-
(2012)
Behavior Research Methods
, vol.44
, Issue.1
, pp. 1-23
-
-
Mason, W.1
Suri, S.2
-
125
-
-
70449657723
-
Financial incentives and the “performance of crowds
-
Winter Mason and Duncan J. Watts. Financial incentives and the “performance of crowds”. In HCOMP, 2009.
-
(2009)
HCOMP
-
-
Mason, W.1
Watts, D.J.2
-
126
-
-
85048791419
-
Clustering via crowdsourcing
-
Arya Mazumdar and Barna Saha. Clustering via crowdsourcing. CoRR arXiv:1604.01839, 2016.
-
(2016)
CoRR
-
-
Mazumdar, A.1
Saha, B.2
-
127
-
-
84925704214
-
The psychology of intelligence analysis: Drivers of prediction accuracy in world politics
-
Barbara Mellers, Eric Stone, Pavel Atanasov, Nick Rohrbaugh, S. Emlen Metz, Lyle Ungar, Michael M. Bishop, Michael Horowitz, Ed Merkle, and Philip Tetlock. The psychology of intelligence analysis: Drivers of prediction accuracy in world politics. Journal of Experimental Psychology: Applied, 21(2):1-14, 2015a.
-
(2015)
Journal of Experimental Psychology: Applied
, vol.21
, Issue.2
, pp. 1-14
-
-
Mellers, B.1
Stone, E.2
Atanasov, P.3
Rohrbaugh, N.4
Emlen Metz, S.5
Ungar, L.6
Bishop, M.M.7
Horowitz, M.8
Merkle, E.9
Tetlock, P.10
-
128
-
-
84930337393
-
Identifying and cultivating superforecasters as a method of improving probabilistic predictions
-
Barbara Mellers, Eric Stone, Terry Murray, Angela Minster, Nick Rohrbaugh, Michael Bishop, Eva Chen, Joshua Baker, Yuan Hou, Michael Horowitz, Lyle Ungar, and Philip Tetlock. Identifying and cultivating superforecasters as a method of improving probabilistic predictions. Perspectives on Psychological Science, 10(2):267-281, 2015b.
-
(2015)
Perspectives on Psychological Science
, vol.10
, Issue.2
, pp. 267-281
-
-
Mellers, B.1
Stone, E.2
Murray, T.3
Minster, A.4
Rohrbaugh, N.5
Bishop, M.6
Chen, E.7
Baker, J.8
Hou, Y.9
Horowitz, M.10
Ungar, L.11
Tetlock, P.12
-
129
-
-
25844515285
-
Eliciting informative feedback: The peer-prediction method
-
Nolan Miller, Paul Resnick, and Richard Zeckhauser. Eliciting informative feedback: The peer-prediction method. Management Science, 51(9):1359-1373, 2005.
-
(2005)
Management Science
, vol.51
, Issue.9
, pp. 1359-1373
-
-
Miller, N.1
Resnick, P.2
Zeckhauser, R.3
-
130
-
-
84887361716
-
Analyzing semantic segmentation using hybrid human-machine CRFs
-
Roozbeh Mottaghi, Sanja Fidler, Jian Yao, Raquel Urtasun, and Devi Parikh. Analyzing semantic segmentation using hybrid human-machine CRFs. In CVPR, 2013.
-
(2013)
CVPR
-
-
Mottaghi, R.1
Fidler, S.2
Yao, J.3
Urtasun, R.4
Parikh, D.5
-
131
-
-
84961639809
-
Human-machine CRFs for identifying bottlenecks in scene understanding
-
Roozbeh Mottaghi, Sanja Fidler, Alan Yuille, Raquel Urtasun, and Devi Parikh. Human-machine CRFs for identifying bottlenecks in scene understanding. In IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016.
-
(2016)
IEEE Transactions on Pattern Analysis and Machine Intelligence
-
-
Mottaghi, R.1
Fidler, S.2
Yuille, A.3
Urtasun, R.4
Parikh, D.5
-
132
-
-
84901371496
-
Text alignment for real-time crowd captioning
-
Iftekhar Naim, Daniel Gildea, Walter Lasecki, and Jeffrey P. Bigham. Text alignment for real-time crowd captioning. In NAACL, 2013.
-
(2013)
NAACL
-
-
Naim, I.1
Gildea, D.2
Lasecki, W.3
Bigham, J.P.4
-
133
-
-
85162543244
-
Improving topic coherence with regularized topic models
-
David Newman, Edwin V. Bonilla, and Wray Buntine. Improving topic coherence with regularized topic models. In NIPS, 2011.
-
(2011)
NIPS
-
-
Newman, D.1
Bonilla, E.V.2
Buntine, W.3
-
134
-
-
85030469300
-
On human intellect and machine failures: Troubleshooting integrative machine learning systems
-
Besmira Nushi, Ece Kamar, Donald Kossmann, and Eric Horvitz. On human intellect and machine failures: Troubleshooting integrative machine learning systems. In AAAI, 2017.
-
(2017)
AAAI
-
-
Nushi, B.1
Kamar, E.2
Kossmann, D.3
Horvitz, E.4
-
135
-
-
84923421915
-
Programmatic gold: Targeted and scalable quality assurance in crowdsourcing
-
David Oleson, Alexander Sorokin, Greg Laughlin, Vaughn Hester, John Le, and Lukas Biewald. Programmatic gold: Targeted and scalable quality assurance in crowdsourcing. In HCOMP, 2011.
-
(2011)
HCOMP
-
-
Oleson, D.1
Sorokin, A.2
Laughlin, G.3
Hester, V.4
Le, J.5
Biewald, L.6
-
138
-
-
78649593360
-
Gestalt: Integrated support for implementation and analysis in machine learning processes
-
Kayur Patel, Naomi Bancroft, Steven M. Drucker, James Fogarty, Andrew J. Ko, and James A. Landay. Gestalt: Integrated support for implementation and analysis in machine learning processes. In UIST, 2010.
-
(2010)
UIST
-
-
Patel, K.1
Bancroft, N.2
Drucker, S.M.3
Fogarty, J.4
Ko, A.J.5
Landay, J.A.6
-
139
-
-
84866637964
-
Sun attribute database: Discovering, annotating, and recognizing scene attributes
-
Genevieve Patterson and James Hays. Sun attribute database: Discovering, annotating, and recognizing scene attributes. In CVPR, 2012.
-
(2012)
CVPR
-
-
Patterson, G.1
Hays, J.2
-
140
-
-
84900870389
-
The sun attribute database: Beyond categories for deeper scene understanding
-
Genevieve Patterson, Chen Xu, Hang Su, and James Hays. The sun attribute database: Beyond categories for deeper scene understanding. International Journal of Computer Vision, 108(1-2):59-81, 2014.
-
(2014)
International Journal of Computer Vision
, vol.108
, Issue.1-2
, pp. 59-81
-
-
Patterson, G.1
Xu, C.2
Su, H.3
Hays, J.4
-
142
-
-
84928205991
-
Discovering health topics in social media using topic models
-
Michael J. Paul and Mark Dredze. Discovering health topics in social media using topic models. PloS one, 9(8):e103408, 2014.
-
(2014)
PloS One
, vol.9
, Issue.8
, pp. e103408
-
-
Paul, M.J.1
Dredze, M.2
-
143
-
-
84906922531
-
The language demographics of Amazon Mechanical Turk
-
Ellie Pavlick, Matt Post, Ann Irvine, Dmitry Kachaev, and Chris Callison-Burch. The language demographics of Amazon Mechanical Turk. Transactions of the Association for Computational Linguistics, 2:79-92, 2014.
-
(2014)
Transactions of The Association for Computational Linguistics
, vol.2
, pp. 79-92
-
-
Pavlick, E.1
Post, M.2
Irvine, A.3
Kachaev, D.4
Callison-Burch, C.5
-
144
-
-
85048830380
-
Beyond the Turk: An empirical comparison of alternative platforms for crowdsourcing online behavioral research
-
Eyal Peera, Laura Brandimarteb, Sonam Samatc, and Alessandro Acquistic. Beyond the Turk: An empirical comparison of alternative platforms for crowdsourcing online behavioral research. Journal of Experimental Social Psychology, 70:153-163, 2017.
-
(2017)
Journal of Experimental Social Psychology
, vol.70
, pp. 153-163
-
-
Peera, E.1
Brandimarteb, L.2
Samatc, S.3
Acquistic, A.4
-
146
-
-
85048763528
-
Manipulating and measuring model interpretability
-
Forough Poursabzi-Sangdeh, Daniel G. Goldstein, Jake Hofman, Jennifer Wortman Vaughan, and Hanna Wallach. Manipulating and measuring model interpretability. CoRR arXiv:1802.07810, 2018.
-
(2018)
CoRR
-
-
Poursabzi-Sangdeh, F.1
Goldstein, D.G.2
Hofman, J.3
Vaughan, J.W.4
Wallach, H.5
-
147
-
-
5644221311
-
A Bayesian truth serum for subjective data
-
Drazen Prelec. A Bayesian truth serum for subjective data. Science, 306(5695):462-466, 2004.
-
(2004)
Science
, vol.306
, Issue.5695
, pp. 462-466
-
-
Prelec, D.1
-
148
-
-
85016162849
-
A solution to the single-question crowd wisdom problem
-
Drazen Prelec, H. Sebastian Seung, and John McCoy. A solution to the single-question crowd wisdom problem. Nature, 541:532-535, 2017.
-
(2017)
Nature
, vol.541
, pp. 532-535
-
-
Prelec, D.1
Sebastian Seung, H.2
McCoy, J.3
-
150
-
-
84893347052
-
A robust Bayesian truth serum for non-binary signals
-
Goran Radanovic and Boi Faltings. A robust Bayesian truth serum for non-binary signals. In AAAI, 2013.
-
(2013)
AAAI
-
-
Radanovic, G.1
Faltings, B.2
-
151
-
-
84964653355
-
Incentives for effort in crowdsourcing using the peer truth serum
-
Goran Radanovic, Boi Faltings, and Radu Jurca. Incentives for effort in crowdsourcing using the peer truth serum. ACM Transactions on Intelligent Systems and Technology, 7(4):1-28, 2016.
-
(2016)
ACM Transactions on Intelligent Systems and Technology
, vol.7
, Issue.4
, pp. 1-28
-
-
Radanovic, G.1
Faltings, B.2
Jurca, R.3
-
152
-
-
85048842012
-
-
ProPublica article accessed at
-
Srinivas Rao and Amanda Michel. ProPublica's guide to Mechanical Turk. ProPublica article accessed at https://www.propublica.org/article/ propublicas-guide-to-mechanical-turk, 2016.
-
(2016)
ProPublica'S Guide to Mechanical Turk
-
-
Rao, S.1
Michel, A.2
-
153
-
-
77951954464
-
Learning from crowds
-
Vikas C. Raykar, Shipeng Yu, Linda H. Zhao, Gerardo Valadez, Charles Florin, Luca Bo-goni, and Linda Moy. Learning from crowds. Journal of Machine Learning Research, 11: 1297-1322, 2010.
-
(2010)
Journal of Machine Learning Research
, vol.11
, pp. 1297-1322
-
-
Raykar, V.C.1
Yu, S.2
Zhao, L.H.3
Valadez, G.4
Florin, C.5
Bo-Goni, L.6
Moy, L.7
-
154
-
-
84984985889
-
Why should I trust you?: Explaining the predictions of any classifier
-
Marco Tulio Ribeiro, Sameer Singh, and Carlos Guestrin. Why should I trust you?: Explaining the predictions of any classifier. In KDD, 2016.
-
(2016)
KDD
-
-
Ribeiro, M.T.1
Singh, S.2
Guestrin, C.3
-
155
-
-
85055086357
-
An assessment of intrinsic and extrinsic motivation on task performance in crowdsourcing markets
-
Jakob Rogstadius, Vassilis Kostakos, Aniket Kittur, Boris Smus, Jim Laredo, and Maja Vukovic. An assessment of intrinsic and extrinsic motivation on task performance in crowdsourcing markets. In ICWSM, 2011.
-
(2011)
ICWSM
-
-
Rogstadius, J.1
Kostakos, V.2
Kittur, A.3
Smus, B.4
Laredo, J.5
Vukovic, M.6
-
156
-
-
84947041871
-
ImageNet large scale visual recognition challenge
-
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhi-heng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei. ImageNet large scale visual recognition challenge. International Journal of Computer Vision, 115(3):211-252, 2015a.
-
(2015)
International Journal of Computer Vision
, vol.115
, Issue.3
, pp. 211-252
-
-
Russakovsky, O.1
Deng, J.2
Su, H.3
Krause, J.4
Satheesh, S.5
Ma, S.6
Huang, Z.-H.7
Karpathy, A.8
Khosla, A.9
Bernstein, M.10
Berg, A.C.11
Fei-Fei, L.12
-
157
-
-
84959184491
-
Best of both worlds: Human-machine collaboration for object annotation
-
Olga Russakovsky, Li-Jia Li, and Li Fei-Fei. Best of both worlds: Human-machine collaboration for object annotation. In CVPR, 2015b.
-
(2015)
CVPR
-
-
Russakovsky, O.1
Li, L.-J.2
Fei-Fei, L.3
-
158
-
-
84951013363
-
We are dynamo: Overcoming stalling and friction in collective action for crowd workers
-
Niloufar Salehi, Lilly Irani, Michael Bernstein, Ali Alkhatib, Eva Ogbe, Kristy Milland, and Clickhappier. We are dynamo: Overcoming stalling and friction in collective action for crowd workers. In CHI, 2015.
-
(2015)
CHI
-
-
Salehi, N.1
Irani, L.2
Bernstein, M.3
Alkhatib, A.4
Ogbe, E.5
Milland, K.6
Clickhappier7
-
159
-
-
85014796663
-
Communicating context to the crowd for complex writing tasks
-
Niloufar Salehi, Jaime Teevan, Shamsi Iqbal, and Ece Kamar. Communicating context to the crowd for complex writing tasks. In CSCW, 2017.
-
(2017)
CSCW
-
-
Salehi, N.1
Teevan, J.2
Iqbal, S.3
Kamar, E.4
-
160
-
-
85003972524
-
Superforecasting: How to upgrade your company's judgment
-
Paul J. H. Schoemaker and Philip E. Tetlock. Superforecasting: How to upgrade your company's judgment. Harvard Business Review, 94:72-78, 2016.
-
(2016)
Harvard Business Review
, vol.94
, pp. 72-78
-
-
Schoemaker, P.J.H.1
Tetlock, P.E.2
-
161
-
-
85048780031
-
Reducing crowdsourcing to graphon estimation, statistically
-
Devavrat Shah and Christina E. Lee. Reducing crowdsourcing to graphon estimation, statistically. In AISTATS, 2018.
-
(2018)
AISTATS
-
-
Shah, D.1
Lee, C.E.2
-
162
-
-
84969567943
-
Approval voting and incentives in crowdsourcing
-
Nihar Shah, Dengyong Zhou, and Yuval Peres. Approval voting and incentives in crowdsourcing. In ICML, 2015.
-
(2015)
ICML
-
-
Shah, N.1
Zhou, D.2
Peres, Y.3
-
163
-
-
84995380129
-
Double or nothing: Multiplicative incentive mechanisms for crowdsourcing
-
Nihar B. Shah and Dengyong Zhou. Double or nothing: Multiplicative incentive mechanisms for crowdsourcing. Journal of Machine Learning Research, 17(165):1-52, 2016a.
-
(2016)
Journal of Machine Learning Research
, vol.17
, Issue.165
, pp. 1-52
-
-
Shah, N.B.1
Zhou, D.2
-
164
-
-
84997755074
-
No oops, you won't do it again: Mechanisms for self-correction in crowdsourcing
-
Nihar B. Shah and Dengyong Zhou. No oops, you won't do it again: Mechanisms for self-correction in crowdsourcing. In ICML, 2016b.
-
(2016)
ICML
-
-
Shah, N.B.1
Zhou, D.2
-
165
-
-
79955134548
-
Designing incentives for inexpert human raters
-
Aaron D. Shaw, John J. Horton, and Daniel L. Chen. Designing incentives for inexpert human raters. In CSCW, 2011.
-
(2011)
CSCW
-
-
Shaw, A.D.1
Horton, J.J.2
Chen, D.L.3
-
166
-
-
84897489785
-
Get another label? Improving data quality using multiple, noisy labelers
-
Victor Sheng, Foster Provost, and Panagiotis Ipeirotis. Get another label? Improving data quality using multiple, noisy labelers. In KDD, 2008.
-
(2008)
KDD
-
-
Sheng, V.1
Provost, F.2
Ipeirotis, P.3
-
168
-
-
79957943664
-
Ethics and tactics of professional crowdwork
-
M. Six Silberman, Lilly Irani, and Joel Ross. Ethics and tactics of professional crowdwork. XRDS: Crossroads, The ACM Magazine for Students, 17(2):39-43, 2010.
-
(2010)
XRDS: Crossroads, The ACM Magazine for Students
, vol.17
, Issue.2
, pp. 39-43
-
-
Six Silberman, M.1
Irani, L.2
Ross, J.3
-
169
-
-
85044870307
-
-
Stop citing Ross 2010 Accessed at
-
M. Six Silberman, Kristy Milland, Rochelle LaPlant, Joel Ross, and Lilly Irani. Stop citing Ross et al. 2010, “Who are the crowdworkers?”. Accessed at https://medium.com/@silberman/ stop-citing-ross-et-al-2010-who-are-the-crowdworkers-b3b9b1e8d300, 2015.
-
(2015)
Who Are The Crowdworkers?
-
-
Six Silberman, M.1
Milland, K.2
LaPlant, R.3
Ross, J.4
Irani, L.5
-
170
-
-
85048755939
-
-
CoRR
-
Patrice Y. Simard, Saleema Amershi, David M. Chickering, Alicia Edelman Pelton, Soroush Ghorashi, Christopher Meek, Gonzalo Ramos, Jina Suh, Johan Verwey, Mo Wang, and John Wernsing. Machine teaching: A new paradigm for building machine learning systems. CoRR arXiv:1707.06742, 2017.
-
(2017)
Machine Teaching: A New Paradigm for Building Machine Learning Systems
-
-
Simard, P.Y.1
Amershi, S.2
Chickering, D.M.3
Pelton, A.E.4
Ghorashi, S.5
Meek, C.6
Ramos, G.7
Suh, J.8
Verwey, J.9
Wang, M.10
Wernsing, J.11
-
171
-
-
84871259397
-
Common (mis)beliefs about memory: A replication and comparison of telephone and Mechanical Turk survey methods
-
Daniel J. Simons and Christopher F. Chabris. Common (mis)beliefs about memory: A replication and comparison of telephone and Mechanical Turk survey methods. PLoS ONE, 7(12), 2012.
-
(2012)
PLoS ONE
, vol.7
, Issue.12
-
-
Simons, D.J.1
Chabris, C.F.2
-
173
-
-
80053360508
-
Cheap and fast-but is it good?: Evaluating non-expert annotations for natural language tasks
-
Rion Snow, Brendan O'Connor, Daniel Jurafsky, and Andrew Y. Ng. Cheap and fast-but is it good?: Evaluating non-expert annotations for natural language tasks. In EMNLP, 2008.
-
(2008)
EMNLP
-
-
Snow, R.1
O'Connor, B.2
Jurafsky, D.3
Ng, A.Y.4
-
174
-
-
52049123532
-
Utility data annotation with Amazon Mechanical Turk
-
June
-
Alexander Sorokin and David Forsyth. Utility data annotation with Amazon Mechanical Turk. In CVPRW, June 2008.
-
(2008)
CVPRW
-
-
Sorokin, A.1
Forsyth, D.2
-
175
-
-
84943144072
-
The average laboratory samples a population of 7,300 Amazon Mechanical Turk workers
-
September
-
Neil Stewart, Christoph Ungemach, Adam J. L. Harris, Daniel M. Bartels, Ben R. Newell, Gabriele Paolacci, and Jesse Chandler. The average laboratory samples a population of 7,300 Amazon Mechanical Turk workers. Judgment and Decision Making, September 2015.
-
(2015)
Judgment and Decision Making
-
-
Stewart, N.1
Ungemach, C.2
Harris, A.J.L.3
Bartels, D.M.4
Newell, B.R.5
Paolacci, G.6
Chandler, J.7
-
176
-
-
85049065443
-
Crowdsourcing annotations for visual object detection
-
Hao Su, Jia Deng, and Li Fei-Fei. Crowdsourcing annotations for visual object detection. In HCOMP, 2012.
-
(2012)
HCOMP
-
-
Su, H.1
Deng, J.2
Fei-Fei, L.3
-
177
-
-
79952666748
-
Cooperation and contagion in web-based, networked public goods experiments
-
Siddharth Suri and Duncan J. Watts. Cooperation and contagion in web-based, networked public goods experiments. PLoS ONE, 6(3), 2011.
-
(2011)
PLoS ONE
, vol.6
, Issue.3
-
-
Suri, S.1
Watts, D.J.2
-
178
-
-
84973606400
-
Honesty in an online labor market
-
Siddharth Suri, Daniel Goldstein, and Winter Mason. Honesty in an online labor market. In HCOMP, 2011.
-
(2011)
HCOMP
-
-
Suri, S.1
Goldstein, D.2
Mason, W.3
-
179
-
-
84877913053
-
Discrimination in online ad delivery
-
Latanya Sweeney. Discrimination in online ad delivery. Communications of the ACM, 56 (5):44-54, 2013.
-
(2013)
Communications of The ACM
, vol.56
, Issue.5
, pp. 44-54
-
-
Sweeney, L.1
-
180
-
-
80053456767
-
Adaptively learning the crowd kernel
-
Omer Tamuz, Ce Liu, Serge Belongie, Ohad Shamir, and Adam Kalai. Adaptively learning the crowd kernel. In ICML, 2011.
-
(2011)
ICML
-
-
Tamuz, O.1
Liu, C.2
Belongie, S.3
Shamir, O.4
Kalai, A.5
-
181
-
-
85015081717
-
Supporting collaborative writing with microtasks
-
Jaime Teevan, Shamsi Iqbal, and Curtis von Veh. Supporting collaborative writing with microtasks. In CHI, 2016.
-
(2016)
CHI
-
-
Teevan, J.1
Iqbal, S.2
Von Veh, C.3
-
182
-
-
85011371264
-
Bringing probability judgments into policy debates via forecasting tournaments
-
Philip E. Tetlock, Barbara A. Mellers, and J. Peter Scoblic. Bringing probability judgments into policy debates via forecasting tournaments. Science, 355(6324):481-483, 2017.
-
(2017)
Science
, vol.355
, Issue.6324
, pp. 481-483
-
-
Tetlock, P.E.1
Mellers, B.A.2
Peter Scoblic, J.3
-
183
-
-
84965121902
-
Max-margin majority voting for learning from crowds
-
Tian Tian and Jun Zhu. Max-margin majority voting for learning from crowds. In NIPS, 2015.
-
(2015)
NIPS
-
-
Tian, T.1
Zhu, J.2
-
184
-
-
84875584655
-
The good judgment project: A large scale test of different methods of combining expert predictions
-
Lyle H. Ungar, Barbara A. Mellers, Ville Satopää, Philip Tetlock, and Jon Baron. The good judgment project: A large scale test of different methods of combining expert predictions. In AAAI Fall Symposium: Machine Aggregation of Human Judgment, 2012.
-
(2012)
AAAI Fall Symposium: Machine Aggregation of Human Judgment
-
-
Ungar, L.H.1
Mellers, B.A.2
Satopää, V.3
Tetlock, P.4
Baron, J.5
-
185
-
-
84995365235
-
Do users' perceptions of password security match reality?
-
Blase Ur, Jonathan Bees, Sean M. Segreti, Lujo Bauer, and Lorrie Faith Cranor Nicolas Christin. Do users' perceptions of password security match reality? In CHI, 2016.
-
(2016)
CHI
-
-
Ur, B.1
Bees, J.2
Segreti, S.M.3
Bauer, L.4
Christin, L.F.C.N.5
-
186
-
-
84959508477
-
Supersparse linear integer models for optimized medical scoring systems
-
Berk Ustun and Cynthia Rudin. Supersparse linear integer models for optimized medical scoring systems. Machine Learning Journal, 102(3):349-391, 2016.
-
(2016)
Machine Learning Journal
, vol.102
, Issue.3
, pp. 349-391
-
-
Ustun, B.1
Rudin, C.2
-
187
-
-
84963565613
-
Beyond mechanical turk: An analysis of paid crowd work platforms
-
Donna Vakharia and Matthew Lease. Beyond Mechanical Turk: An analysis of paid crowd work platforms. In Proceedings of the iConference, 2015.
-
(2015)
Proceedings of The iConference
-
-
Vakharia, D.1
Lease, M.2
-
188
-
-
84909581998
-
Community-based Bayesian aggregation models for crowdsourcing
-
Matteo Venanzi, John Guiver, Gabriella Kazai, Pushmeet Kohli, and Milad Shokouhi. Community-based Bayesian aggregation models for crowdsourcing. In WWW, 2014.
-
(2014)
WWW
-
-
Venanzi, M.1
Guiver, J.2
Kazai, G.3
Kohli, P.4
Shokouhi, M.5
-
189
-
-
84905112588
-
Crowdsourcing algorithms for entity resolution
-
Norases Vesdapunt, Kedar Bellare, and Nilesh Dalvi. Crowdsourcing algorithms for entity resolution. Proceedings of the VLDB Endowment, 7(12):1071-1082, 2014.
-
(2014)
Proceedings of The VLDB Endowment
, vol.7
, Issue.12
, pp. 1071-1082
-
-
Vesdapunt, N.1
Bellare, K.2
Dalvi, N.3
-
190
-
-
70450197013
-
What's it going to cost you?: Predicting effort vs. Informativeness for multi-label image annotations
-
Sudheendra Vijayanarasimhan and Kristen Grauman. What's it going to cost you?: Predicting effort vs. informativeness for multi-label image annotations. In CVPR, 2009.
-
(2009)
CVPR
-
-
Vijayanarasimhan, S.1
Grauman, K.2
-
191
-
-
85019171270
-
Crowdsourced clustering: Querying edges vs triangles
-
Ramya Korlakai Vinayak and Babak Hassibi. Crowdsourced clustering: Querying edges vs triangles. In NIPS, 2016.
-
(2016)
NIPS
-
-
Vinayak, R.K.1
Hassibi, B.2
-
192
-
-
84937908958
-
Graph clustering with missing data: Convex algorithms and analysis
-
Ramya Korlakai Vinayak, Samet Oymak, and Babak Hassibi. Graph clustering with missing data: Convex algorithms and analysis. In NIPS, 2014.
-
(2014)
NIPS
-
-
Vinayak, R.K.1
Oymak, S.2
Hassibi, B.3
-
193
-
-
4544353199
-
Labeling images with a computer game
-
Luis von Ahn and Laura Dabbish. Labeling images with a computer game. In CHI, 2004.
-
(2004)
CHI
-
-
Von Ahn, L.1
Dabbish, L.2
-
194
-
-
49249119915
-
General techniques for designing games with a purpose
-
August
-
Luis von Ahn and Laura Dabbish. General techniques for designing games with a purpose. Communications of the ACM, 51(8):58-67, August 2008.
-
(2008)
Communications of The ACM
, vol.51
, Issue.8
, pp. 58-67
-
-
Von Ahn, L.1
Dabbish, L.2
-
197
-
-
85048786272
-
Verbosity: A game for collecting commonsense knowledge
-
Luis von Ahn, Mihir Kedia, and Manuel Blum. Verbosity: A game for collecting commonsense knowledge. In CHI Notes, 2006.
-
(2006)
CHI Notes
-
-
Von Ahn, L.1
Kedia, M.2
Blum, M.3
-
198
-
-
51749107030
-
ReCAPTCHA: Human-based character recognition via web security measures
-
Luis von Ahn, Benjamin Maurer, Colin McMillen, David Abraham, and Manuel Blum. reCAPTCHA: Human-based character recognition via web security measures. Science, 321(5895):1465-1468, 2008.
-
(2008)
Science
, vol.321
, Issue.5895
, pp. 1465-1468
-
-
Von Ahn, L.1
Maurer, B.2
McMillen, C.3
Abraham, D.4
Blum, M.5
-
199
-
-
85167458387
-
Output agreement mechanisms and common knowledge
-
Bo Waggoner and Yiling Chen. Output agreement mechanisms and common knowledge. In HCOMP, 2014.
-
(2014)
HCOMP
-
-
Waggoner, B.1
Chen, Y.2
-
200
-
-
84878084353
-
-
California Institute of Technology
-
Catherine Wah, Steve Branson, Peter Welinder, Pietro Perona, and Serge Belongie. The Caltech-UCSD Birds-200-2011 Dataset. Technical Report CNS-TR-2011-001, California Institute of Technology, 2011.
-
(2011)
The Caltech-UCSD Birds-200-2011 Dataset. Technical Report CNS-TR-2011-001
-
-
Wah, C.1
Branson, S.2
Welinder, P.3
Perona, P.4
Belongie, S.5
-
201
-
-
84911368243
-
Similarity comparisons for interactive fine-grained categorization
-
Catherine Wah, Grant Van Horn, Steve Branson, Subhransu Maji, Pietro Perona, and Serge Belongie. Similarity comparisons for interactive fine-grained categorization. In CVPR, 2014.
-
(2014)
CVPR
-
-
Wah, C.1
Van Horn, G.2
Branson, S.3
Maji, S.4
Perona, P.5
Belongie, S.6
-
202
-
-
84860858213
-
Serf and turf: Crowdturfing for fun and profit
-
Gang Wang, Christo Wilson, Xiaohan Zhao, Yibo Zhu, Manish Mohanlal, Haitao Zheng, and Ben Y. Zhao. Serf and turf: Crowdturfing for fun and profit. In WWW, 2012a.
-
(2012)
WWW
-
-
Wang, G.1
Wilson, C.2
Zhao, X.3
Zhu, Y.4
Mohanlal, M.5
Zheng, H.6
Zhao, B.Y.7
-
203
-
-
84872946975
-
CrowdER: Crowdsourcing entity resolution
-
Jiannan Wang, Tim Kraska, Michael J. Franklin, and Jianhua Feng. CrowdER: Crowdsourcing entity resolution. Proceedings of the VLDB Endowment, 5(11):1483-1494, 2012b.
-
(2012)
Proceedings of The VLDB Endowment
, vol.5
, Issue.11
, pp. 1483-1494
-
-
Wang, J.1
Kraska, T.2
Franklin, M.J.3
Feng, J.4
-
204
-
-
84866038973
-
Active spectral clustering via iterative uncertainty reduction
-
Fabian L. Wauthier, Nebojsa Jojic, and Michael I. Jordan. Active spectral clustering via iterative uncertainty reduction. In KDD, 2012.
-
(2012)
KDD
-
-
Wauthier, F.L.1
Jojic, N.2
Jordan, M.I.3
-
206
-
-
85020066608
-
Character misrepresentation by Amazon Turk workers: Assessment and solutions
-
Kathryn Sharpe Wessling, Joel Huber, and Oded Netzer. Character misrepresentation by Amazon Turk workers: Assessment and solutions. Journal of Consumer Research, 44(1): 211-230, 2017.
-
(2017)
Journal of Consumer Research
, vol.44
, Issue.1
, pp. 211-230
-
-
Wessling, K.S.1
Huber, J.2
Netzer, O.3
-
207
-
-
84860606252
-
Whose vote should count more: Optimal integration of labels from labelers of unknown expertise
-
Jacob Whitehill, Ting-fan Wu, Jacob Bergsma, Javier R. Movellan, and Paul L. Ruvolo. Whose vote should count more: Optimal integration of labels from labelers of unknown expertise. In NIPS, 2009.
-
(2009)
NIPS
-
-
Whitehill, J.1
Wu, T.-F.2
Bergsma, J.3
Movellan, J.R.4
Ruvolo, P.L.5
-
208
-
-
85167413808
-
Cost-effective hits for relative similarity comparisons
-
Michael Wilber, Sam Kwak, and Serge Belongie. Cost-effective hits for relative similarity comparisons. In HCOMP, 2014.
-
(2014)
HCOMP
-
-
Wilber, M.1
Kwak, S.2
Belongie, S.3
-
209
-
-
84955491999
-
On the ethics of crowdsourced research
-
Vanessa Williamson. On the ethics of crowdsourced research. Political Science & Politics, 49(1):77-81, 2016.
-
(2016)
Political Science & Politics
, vol.49
, Issue.1
, pp. 77-81
-
-
Williamson, V.1
-
213
-
-
84866687133
-
Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation
-
Jian Yao, Sanja Fidler, and Raquel Urtasun. Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation. In CVPR, 2012.
-
(2012)
CVPR
-
-
Yao, J.1
Fidler, S.2
Urtasun, R.3
-
214
-
-
85029418102
-
When does more money work? Examining the role of perceived fairness in pay on the performance quality of crowdworkers
-
Teng Ye, Sangseok You, and Lionel P. Robert Jr. When does more money work? Examining the role of perceived fairness in pay on the performance quality of crowdworkers. In ICWSM, 2017.
-
(2017)
ICWSM
-
-
Ye, T.1
You, S.2
Robert, L.P.3
-
216
-
-
84898946909
-
Crowdclustering with sparse pairwise labels: A matrix completion approach
-
Jinfeng Yi, Rong Jin, Anil K. Jain, and Shaili Jain. Crowdclustering with sparse pairwise labels: A matrix completion approach. In HCOMP, 2012a.
-
(2012)
HCOMP
-
-
Yi, J.1
Jin, R.2
Jain, A.K.3
Jain, S.4
-
217
-
-
84877727883
-
Semi crowdsourced clustering: Generalizing crowd labeling by robust distance metric learning
-
Jinfeng Yi, Rong Jin, Anil K. Jain, Shaili Jain, and Tianbao Yang. Semi crowdsourced clustering: Generalizing crowd labeling by robust distance metric learning. In NIPS, 2012b.
-
(2012)
NIPS
-
-
Yi, J.1
Jin, R.2
Jain, A.K.3
Jain, S.4
Yang, T.5
-
218
-
-
84893402805
-
The effects of performance-contingent financial incentives in online labor markets
-
Ming Yin, Yiling Chen, and Yu-An Sun. The effects of performance-contingent financial incentives in online labor markets. In AAAI, 2013.
-
(2013)
AAAI
-
-
Yin, M.1
Chen, Y.2
Sun, Y.-A.3
-
219
-
-
84973438529
-
Monetary interventions in crowdsourcing task switching
-
Ming Yin, Yiling Chen, and Yu-An Sun. Monetary interventions in crowdsourcing task switching. In HCOMP, 2014.
-
(2014)
HCOMP
-
-
Yin, M.1
Chen, Y.2
Sun, Y.-A.3
-
220
-
-
85014793355
-
The communication network within the crowd
-
Ming Yin, Mary L. Gray, Siddharth Suri, and Jennifer Wortman Vaughan. The communication network within the crowd. In WWW, 2016.
-
(2016)
WWW
-
-
Yin, M.1
Gray, M.L.2
Suri, S.3
Vaughan, J.W.4
-
222
-
-
84859040411
-
Crowdsourcing translation: Professional quality from non-professionals
-
Omar Zaidan and Chris Callison-Burch. Crowdsourcing translation: Professional quality from non-professionals. In ACL, 2011.
-
(2011)
ACL
-
-
Zaidan, O.1
Callison-Burch, C.2
-
223
-
-
84883159872
-
Machine translation of Arabic dialects
-
Rabih Zbib, Erika Malchiodi, Jacob Devlin, David Stallard, Spyros Matsoukas, Richard Schwartz, John Makhoul, Omar F. Zaidan, and Chris Callison-Burch. Machine translation of Arabic dialects. In NAACL, 2012.
-
(2012)
NAACL
-
-
Zbib, R.1
Malchiodi, E.2
Devlin, J.3
Stallard, D.4
Matsoukas, S.5
Schwartz, R.6
Makhoul, J.7
Zaidan, O.F.8
Callison-Burch, C.9
-
224
-
-
84868293229
-
Human computation tasks with global constraints
-
Haoqi Zhang, Edith Law, Krzysztof Gajos, Eric Horvitz, Rob Miller, and David Parkes. Human computation tasks with global constraints. In CHI, 2012.
-
(2012)
CHI
-
-
Zhang, H.1
Law, E.2
Gajos, K.3
Horvitz, E.4
Miller, R.5
Parkes, D.6
-
225
-
-
84976512003
-
Learning from crowdsourced labeled data: A survey
-
Jing Zhang, Xindong Wu, and Victor S. Sheng. Learning from crowdsourced labeled data: A survey. Artificial Intelligence Review, 46(4):543-576, 2016a.
-
(2016)
Artificial Intelligence Review
, vol.46
, Issue.4
, pp. 543-576
-
-
Zhang, J.1
Wu, X.2
Sheng, V.S.3
-
226
-
-
84988975385
-
Spectral methods meet EM: A provably optimal algorithm for crowdsourcing
-
Yuchen Zhang, Xi Chen, Dengyong Zhou, and Michael I. Jordan. Spectral methods meet EM: A provably optimal algorithm for crowdsourcing. Journal of Machine Learning Research, 17(102):1-44, 2016b.
-
(2016)
Journal of Machine Learning Research
, vol.17
, Issue.102
, pp. 1-44
-
-
Zhang, Y.1
Chen, X.2
Zhou, D.3
Jordan, M.I.4
-
227
-
-
85020468498
-
Truth inference in crowdsourcing: Is the problem solved?
-
Yudian Zheng, Guoliang Li, Yuanbing Li, Caihua Shan, and Reynold Cheng. Truth inference in crowdsourcing: Is the problem solved? Proceedings of the VLDB Endowment, 10(5): 541-552, 2017.
-
(2017)
Proceedings of The VLDB Endowment
, vol.10
, Issue.5
, pp. 541-552
-
-
Zheng, Y.1
Li, G.2
Li, Y.3
Shan, C.4
Cheng, R.5
-
228
-
-
84877729010
-
Learning from the wisdom of crowds by minimax entropy
-
Dengyong Zhou, Sumit Basu, Yi Mao, and John Platt. Learning from the wisdom of crowds by minimax entropy. In NIPS, 2012.
-
(2012)
NIPS
-
-
Zhou, D.1
Basu, S.2
Mao, Y.3
Platt, J.4
-
229
-
-
84919947760
-
Aggregating ordinal labels from crowds by minimax conditional entropy
-
Dengyong Zhou, Qiang Liu, John C. Platt, and Christopher Meek. Aggregating ordinal labels from crowds by minimax conditional entropy. In ICML, 2014.
-
(2014)
ICML
-
-
Zhou, D.1
Liu, Q.2
Platt, J.C.3
Meek, C.4
|