Praveen K. Paritosh

39 papers A* 5A 2Journal 18Unranked 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Community-driven vision for a new Knowledge Resource for AI.
CoRR
Vinay K. Chaudhri, Chaitan Baru, Brandon Bennett, Mehul Bhatt, Darion Cassel, Anthony G. Cohn, Rina Dechter, Esra Erdem, David A. Ferrucci, Kenneth D. Forbus, Gregory Gelfond, Michael R. Genesereth, Andrew S. Gordon, Benjamin N. Grosof, Gopal Gupta, Jim Hendler, Sharat Israni, Tyler R. Josephson, Patrick C. Kyllonen, Yuliya Lierler, Vladimir Lifschitz, Clifton James McFate, Hande K. McGinty, Leora Morgenstern, Alessandro Oltramari, Praveen K. Paritosh, Dan Roth, Blake Shepard, Cogan Shimizu, Denny Vrandecic, Mark Whiting, Michael Witbrock
2025 J jnl
A community-driven vision for a new knowledge resource for AI.
AI Mag.
Vinay K. Chaudhri, Chaitan Baru, Brandon Bennett, Mehul Bhatt, Darion Cassel, Anthony G. Cohn, Rina Dechter, Esra Erdem, David A. Ferrucci, Kenneth D. Forbus, Gregory Gelfond, Michael R. Genesereth, Andrew S. Gordon, Benjamin N. Grosof, Gopal Gupta, Jim Hendler, Sharat Israni, Tyler R. Josephson, Patrick C. Kyllonen, Yuliya Lierler, Vladimir Lifschitz, Clifton James McFate, Hande K. McGinty, Leora Morgenstern, Alessandro Oltramari, Praveen K. Paritosh, Dan Roth, Blake Shepard, Cogan Shimizu, Denny Vrandecic, Mark Whiting, Michael Witbrock
2024 J jnl
DMLR: Data-centric Machine Learning Research - Past, Present and Future.
J. Data-centric Mach. Learn. Res.
Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
2023 J jnl
DMLR: Data-centric Machine Learning Research - Past, Present and Future.
CoRR
Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed M. Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
2023 A* conf
DataPerf: Benchmarks for Data-Centric AI Development.
NeurIPS
Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Raje, Max Bartolo, Evan Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Addison Howard, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, D. Sculley, Tzu-Sheng Kuo, Jonas W. Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Y. Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi
2023 J jnl
Modeling subjectivity (by Mimicking Annotator Annotation) in toxic comment identification across diverse communities.
CoRR
Senjuti Dutta, Sid Mittal, Sherol Chen, Deepak Ramachandran, Ravi Rajakumar, Ian Kivlichan, Sunny Mak, Alena Butryna, Praveen K. Paritosh
2022 J jnl
Data excellence for AI: why should you care?
Interactions
Lora Aroyo, Matthew Lease, Praveen K. Paritosh, Mike Schaekermann
2022 J jnl
DataPerf: Benchmarks for Data-Centric AI Development.
CoRR
Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Juan Ciro, Lora Aroyo, Bilge Acun, Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Tariq Kane, Christine R. Kirkpatrick, Tzu-Sheng Kuo, Jonas Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi
2022 — conf
k-Rater Reliability: The Correct Unit of Reliability for Aggregated Human Annotations.
ACL (2)
Ka Wong, Praveen K. Paritosh
2022 J jnl
k-Rater Reliability: The Correct Unit of Reliability for Aggregated Human Annotations.
CoRR
Ka Wong, Praveen K. Paritosh
2021 A* conf
"Everyone wants to do the model work, not the data work": Data Cascades in High-Stakes AI.
CHI
Nithya Sambasivan, Shivani Kapania, Hannah Highfill, Diana Akrong, Praveen K. Paritosh, Lora Aroyo
2021 J jnl
Betting on Bets.
AI Mag.
Chris Welty, Praveen K. Paritosh, Kurt Bollacker
2021 — conf
Cross-replication Reliability - An Empirical Approach to Interpreting Inter-rater Reliability.
ACL/IJCNLP (1)
Ka Wong, Praveen K. Paritosh, Lora Aroyo
2021 J jnl
Cross-replication Reliability - An Empirical Approach to Interpreting Inter-rater Reliability.
CoRR
Ka Wong, Praveen K. Paritosh, Lora Aroyo
2021 J jnl
Data Excellence for AI: Why Should You Care.
CoRR
Lora Aroyo, Matthew Lease, Praveen K. Paritosh, Mike Schaekermann
2020 J jnl
The AI Bookie - Place Your Bets: Will Machine Learning Outgrow Human Labeling?
AI Mag.
Mike Schaekermann, Christopher Homan, Lora Aroyo, Praveen K. Paritosh, Kurt Bollacker, Chris Welty
2019 J jnl
Metrology for AI: From Benchmarks to Instruments.
CoRR
Chris Welty, Praveen K. Paritosh, Lora Aroyo
2018 — ed.
Proceedings of the 1st Workshop on Subjectivity, Ambiguity and Disagreement in Crowdsourcing, and Short Paper Proceedings of the 1st Workshop on Disentangling the Relation Between Crowdsourcing and Bias Management (SAD 2018 and CrowdBias 2018) co-located the 6th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2018), Zürich, Switzerland, July 5, 2018.
SAD/CrowdBias@HCOMP
Lora Aroyo, Anca Dumitrache, Praveen K. Paritosh, Alexander J. Quinn, Chris Welty, Alessandro Checco, Gianluca Demartini, Ujwal Gadiraju, Cristina Sarasua
2018 J jnl
The AI Bookie Place Your Bets: Adversarial Collaboration for Scientific Advancement.
AI Mag.
Kurt Bollacker, Praveen K. Paritosh, Chris Welty
2018 — conf
The Missing Science of Knowledge Curation: Improving Incentives for Large-scale Knowledge Curation.
WWW (Companion Volume)
Praveen K. Paritosh
2018 — conf
What if the Primary Goal of the Web was to Foster Curiosity?
ISWC (P&D/Industry/BlueSky)
Praveen K. Paritosh
2017 A conf
Characterizing Online Communities Using Coarse Discourse Structures.
ICWSM
Amy X. Zhang, Bryan Culbertson, Praveen K. Paritosh
2016 — conf
Connecting Online Work and Online Education at Scale.
CHI Extended Abstracts
Markus Krause, Margeret Hall, Joseph Jay Williams, Praveen K. Paritosh, John Pripc, Simon Caton
2016 J jnl
Crowdsourcing Human Annotation on Web Page Structure: Infrastructure Design and Behavior-Based Quality Control.
ACM Trans. Intell. Syst. Technol.
Shuguang Han, Peng Dai, Praveen K. Paritosh, David Huynh
2016 A* conf
Learning Paraphrase Identification with Structural Alignment.
IJCAI
Chen Liang, Praveen K. Paritosh, Vinodh Rajendran, Kenneth D. Forbus
2016 J jnl
Toward a Comprehension Challenge, Using Crowdsourcing as a Tool.
AI Mag.
Praveen K. Paritosh, Gary Marcus
2015 A conf
And Now for Something Completely Different: Improving Crowdsourcing Workflows with Micro-Diversions.
CSCW
Peng Dai, Jeffrey M. Rzeszotarski, Praveen K. Paritosh, Ed H. Chi
2015 — conf
Connecting Collaborative & Crowd Work with Online Education.
CSCW Companion
Joseph Jay Williams, Markus Krause, Praveen K. Paritosh, Jacob Whitehill, Justin Reich, Juho Kim, Piotr Mitros, Neil T. Heffernan, Brian C. Keegan
2015 — conf
Scaling Semantic Frame Annotation.
LAW@NAACL-HLT
Nancy Chang, Praveen K. Paritosh, David Huynh, Collin Baker
2015 A* conf
Web Question Answering: Beyond Factoids: SIGIR 2015 Workshop.
SIGIR
Eugene Agichtein, David Carmel, Charles L. A. Clarke, Praveen K. Paritosh, Dan Pelleg, Idan Szpektor
2014 J jnl
Workshops Held at the First AAAI Conference on Human Computation and Crowdsourcing: A Report.
AI Mag.
Tatiana Josephy, Matt Lease, Praveen K. Paritosh, Markus Krause, Mihai Georgescu, Michael Tjalve, Daniela Braga
2013 — conf
Inserting Micro-Breaks into Crowdsourcing Workflows.
HCOMP (Works in Progress / Demos)
Jeffrey M. Rzeszotarski, Ed H. Chi, Praveen K. Paritosh, Peng Dai
2012 — conf
Human Computation Must Be Reproducible.
CrowdSearch
Praveen K. Paritosh
2011 — conf
Managing crowdsourced human computation: a tutorial.
WWW (Companion Volume)
Panagiotis G. Ipeirotis, Praveen K. Paritosh
2011 — conf
The computer is the new sewing machine: benefits and perils of crowdsourcing.
WWW (Companion Volume)
Praveen K. Paritosh, Panos Ipeirotis, Matt Cooper, Siddharth Suri
2010 J jnl
A framework for on-line trend extraction and fault diagnosis.
Eng. Appl. Artif. Intell.
Mano Ram Maurya, Praveen K. Paritosh, Raghunathan Rengaswamy, Venkat Venkatasubramanian
2010 — conf
The anatomy of a large-scale human computation engine.
HCOMP@KDD
Shailesh Kochhar, Stefano Mazzocchi, Praveen K. Paritosh
2008 — conf
Freebase: a collaboratively created graph database for structuring human knowledge.
SIGMOD Conference
Kurt Bollacker, Colin Evans, Praveen K. Paritosh, Tim Sturge, Jamie Taylor
2005 A* conf
Analysis of Strategic Knowledge in Back of the Envelope Reasoning.
AAAI
Praveen K. Paritosh, Kenneth D. Forbus