Praveen K. Paritosh

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 22

Top Topics

Papers Included

Oral Presentation

Machine Learning

Quality Control

Top Venues

Publications

Senjuti Dutta, Sid Mittal, Sherol Chen, Deepak Ramachandran, Ravi Rajakumar, Ian Kivlichan, Sunny Mak, Alena Butryna, Praveen K. Paritosh
Modeling subjectivity (by Mimicking Annotator Annotation) in toxic comment identification across diverse communities. CoRR (2023)
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
DataPerf: Benchmarks for Data-Centric AI Development. NeurIPS (2023)
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 D. Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
DMLR: Data-centric Machine Learning Research - Past, Present and Future. CoRR (2023)
Ka Wong, Praveen K. Paritosh
k-Rater Reliability: The Correct Unit of Reliability for Aggregated Human Annotations. ACL (2) (2022)
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
DataPerf: Benchmarks for Data-Centric AI Development. CoRR (2022)
Ka Wong, Praveen K. Paritosh
k-Rater Reliability: The Correct Unit of Reliability for Aggregated Human Annotations. CoRR (2022)
Lora Aroyo, Matthew Lease, Praveen K. Paritosh, Mike Schaekermann
Data excellence for AI: why should you care? Interactions 29 (2) (2022)
Chris Welty, Praveen K. Paritosh, Kurt D. Bollacker
Betting on Bets. AI Mag. 42 (3) (2021)
Ka Wong, Praveen K. Paritosh, Lora Aroyo
Cross-replication Reliability - An Empirical Approach to Interpreting Inter-rater Reliability. ACL/IJCNLP (1) (2021)
Ka Wong, Praveen K. Paritosh, Lora Aroyo
Cross-replication Reliability - An Empirical Approach to Interpreting Inter-rater Reliability. CoRR (2021)
Lora Aroyo, Matthew Lease, Praveen K. Paritosh, Mike Schaekermann
Data Excellence for AI: Why Should You Care. CoRR (2021)
Nithya Sambasivan, Shivani Kapania, Hannah Highfill, Diana Akrong, Praveen K. Paritosh, Lora Aroyo
"Everyone wants to do the model work, not the data work": Data Cascades in High-Stakes AI. CHI (2021)
Mike Schaekermann, Christopher Homan, Lora Aroyo, Praveen K. Paritosh, Kurt D. Bollacker, Chris Welty
The AI Bookie - Place Your Bets: Will Machine Learning Outgrow Human Labeling? AI Mag. 41 (4) (2020)
Chris Welty, Praveen K. Paritosh, Lora Aroyo
Metrology for AI: From Benchmarks to Instruments. CoRR (2019)
Praveen K. Paritosh
The Missing Science of Knowledge Curation: Improving Incentives for Large-scale Knowledge Curation. WWW (Companion Volume) (2018)
Kurt D. Bollacker, Praveen K. Paritosh, Chris Welty
The AI Bookie Place Your Bets: Adversarial Collaboration for Scientific Advancement. AI Mag. 39 (4) (2018)
Praveen K. Paritosh
What if the Primary Goal of the Web was to Foster Curiosity? ISWC (P&D/Industry/BlueSky) (2018)
Amy X. Zhang, Bryan Culbertson, Praveen K. Paritosh
Characterizing Online Communities Using Coarse Discourse Structures. ICWSM (2017)
Chen Liang, Praveen K. Paritosh, Vinodh Rajendran, Kenneth D. Forbus
Learning Paraphrase Identification with Structural Alignment. IJCAI (2016)
Shuguang Han, Peng Dai, Praveen K. Paritosh, David Huynh
Crowdsourcing Human Annotation on Web Page Structure: Infrastructure Design and Behavior-Based Quality Control. ACM Trans. Intell. Syst. Technol. 7 (4) (2016)
Praveen K. Paritosh, Gary Marcus
Toward a Comprehension Challenge, Using Crowdsourcing as a Tool. AI Mag. 37 (1) (2016)
Markus Krause, Margeret Hall, Joseph Jay Williams, Praveen K. Paritosh, John Prip, Simon Caton
Connecting Online Work and Online Education at Scale. CHI Extended Abstracts (2016)
Joseph Jay Williams, Markus Krause, Praveen K. Paritosh, Jacob Whitehill, Justin Reich, Juho Kim, Piotr Mitros, Neil T. Heffernan, Brian C. Keegan
Connecting Collaborative & Crowd Work with Online Education. CSCW Companion (2015)
Nancy Chang, Praveen K. Paritosh, David Huynh, Collin Baker
Scaling Semantic Frame Annotation. LAW@NAACL-HLT (2015)
Peng Dai, Jeffrey M. Rzeszotarski, Praveen K. Paritosh, Ed H. Chi
And Now for Something Completely Different: Improving Crowdsourcing Workflows with Micro-Diversions. CSCW (2015)
Eugene Agichtein, David Carmel, Charles L. A. Clarke, Praveen K. Paritosh, Dan Pelleg, Idan Szpektor
Web Question Answering: Beyond Factoids: SIGIR 2015 Workshop. SIGIR (2015)
Tatiana Josephy, Matt Lease, Praveen K. Paritosh, Markus Krause, Mihai Georgescu, Michael Tjalve, Daniela Braga
Workshops Held at the First AAAI Conference on Human Computation and Crowdsourcing: A Report. AI Mag. 35 (2) (2014)
Jeffrey M. Rzeszotarski, Ed H. Chi, Praveen K. Paritosh, Peng Dai
Inserting Micro-Breaks into Crowdsourcing Workflows. HCOMP (Works in Progress / Demos) (2013)
Praveen K. Paritosh
Human Computation Must Be Reproducible. CrowdSearch (2012)
Praveen K. Paritosh, Panos Ipeirotis, Matt Cooper, Siddharth Suri
The computer is the new sewing machine: benefits and perils of crowdsourcing. WWW (Companion Volume) (2011)
Panagiotis G. Ipeirotis, Praveen K. Paritosh
Managing crowdsourced human computation: a tutorial. WWW (Companion Volume) (2011)
Shailesh Kochhar, Stefano Mazzocchi, Praveen K. Paritosh
The anatomy of a large-scale human computation engine. HCOMP@KDD (2010)
Mano Ram Maurya, Praveen K. Paritosh, Raghunathan Rengaswamy, Venkat Venkatasubramanian
A framework for on-line trend extraction and fault diagnosis. Eng. Appl. Artif. Intell. 23 (6) (2010)
Kurt D. Bollacker, Colin Evans, Praveen K. Paritosh, Tim Sturge, Jamie Taylor
Freebase: a collaboratively created graph database for structuring human knowledge. SIGMOD Conference (2008)
Praveen K. Paritosh, Kenneth D. Forbus
Analysis of Strategic Knowledge in Back of the Envelope Reasoning. AAAI (2005)