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Praveen K. Paritosh
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2020 – today
- 2023
- [c20]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 - [i7]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 abs/2311.00203 (2023) - [i6]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 D. Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson:
DMLR: Data-centric Machine Learning Research - Past, Present and Future. CoRR abs/2311.13028 (2023) - 2022
- [j8]Lora Aroyo, Matthew Lease
, Praveen K. Paritosh, Mike Schaekermann:
Data excellence for AI: why should you care? Interactions 29(2): 66-69 (2022) - [c19]Ka Wong, Praveen K. Paritosh:
k-Rater Reliability: The Correct Unit of Reliability for Aggregated Human Annotations. ACL (2) 2022: 378-384 - [i5]Ka Wong, Praveen K. Paritosh:
k-Rater Reliability: The Correct Unit of Reliability for Aggregated Human Annotations. CoRR abs/2203.12913 (2022) - [i4]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 abs/2207.10062 (2022) - 2021
- [j7]Chris Welty, Praveen K. Paritosh, Kurt D. Bollacker:
Betting on Bets. AI Mag. 42(3): 74-76 (2021) - [c18]Ka Wong, Praveen K. Paritosh, Lora Aroyo:
Cross-replication Reliability - An Empirical Approach to Interpreting Inter-rater Reliability. ACL/IJCNLP (1) 2021: 7053-7065 - [c17]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: 39:1-39:15 - [i3]Ka Wong, Praveen K. Paritosh, Lora Aroyo:
Cross-replication Reliability - An Empirical Approach to Interpreting Inter-rater Reliability. CoRR abs/2106.07393 (2021) - [i2]Lora Aroyo, Matthew Lease, Praveen K. Paritosh, Mike Schaekermann:
Data Excellence for AI: Why Should You Care. CoRR abs/2111.10391 (2021) - 2020
- [j6]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): 123-126 (2020)
2010 – 2019
- 2019
- [i1]Chris Welty, Praveen K. Paritosh, Lora Aroyo:
Metrology for AI: From Benchmarks to Instruments. CoRR abs/1911.01875 (2019) - 2018
- [j5]Kurt D. Bollacker, Praveen K. Paritosh, Chris Welty:
The AI Bookie Place Your Bets: Adversarial Collaboration for Scientific Advancement. AI Mag. 39(4): 84-87 (2018) - [c16]Praveen K. Paritosh:
What if the Primary Goal of the Web was to Foster Curiosity? ISWC (P&D/Industry/BlueSky) 2018 - [c15]Praveen K. Paritosh:
The Missing Science of Knowledge Curation: Improving Incentives for Large-scale Knowledge Curation. WWW (Companion Volume) 2018: 1105-1106 - [e1]Lora Aroyo, Anca Dumitrache, Praveen K. Paritosh, Alexander J. Quinn, Chris Welty, Alessandro Checco, Gianluca Demartini, Ujwal Gadiraju, Cristina Sarasua:
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. CEUR Workshop Proceedings 2276, CEUR-WS.org 2018 [contents] - 2017
- [c14]Amy X. Zhang, Bryan Culbertson, Praveen K. Paritosh:
Characterizing Online Communities Using Coarse Discourse Structures. ICWSM 2017: 357-366 - 2016
- [j4]Praveen K. Paritosh, Gary Marcus:
Toward a Comprehension Challenge, Using Crowdsourcing as a Tool. AI Mag. 37(1): 23-30 (2016) - [j3]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): 56:1-56:25 (2016) - [c13]Markus Krause, Margeret Hall
Connecting Online Work and Online Education at Scale. CHI Extended Abstracts 2016: 3536-3541 - [c12]Chen Liang, Praveen K. Paritosh, Vinodh Rajendran, Kenneth D. Forbus:
Learning Paraphrase Identification with Structural Alignment. IJCAI 2016: 2859-2865 - 2015
- [c11]Nancy Chang, Praveen K. Paritosh, David Huynh, Collin Baker:
Scaling Semantic Frame Annotation. LAW@NAACL-HLT 2015: 1-10 - [c10]Joseph Jay Williams, Markus Krause, Praveen K. Paritosh, Jacob Whitehill, Justin Reich, Juho Kim
Connecting Collaborative & Crowd Work with Online Education. CSCW Companion 2015: 313-318 - [c9]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: 628-638 - [c8]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: 1143 - 2014
- [j2]Tatiana Josephy
Workshops Held at the First AAAI Conference on Human Computation and Crowdsourcing: A Report. AI Mag. 35(2): 75-78 (2014) - 2013
- [c7]Jeffrey M. Rzeszotarski, Ed H. Chi, Praveen K. Paritosh, Peng Dai:
Inserting Micro-Breaks into Crowdsourcing Workflows. HCOMP (Works in Progress / Demos) 2013 - 2012
- [c6]Praveen K. Paritosh:
Human Computation Must Be Reproducible. CrowdSearch 2012: 20-25 - 2011
- [c5]Panagiotis G. Ipeirotis
Managing crowdsourced human computation: a tutorial. WWW (Companion Volume) 2011: 287-288 - [c4]Praveen K. Paritosh, Panos Ipeirotis
The computer is the new sewing machine: benefits and perils of crowdsourcing. WWW (Companion Volume) 2011: 325-326 - 2010
- [j1]Mano Ram Maurya, Praveen K. Paritosh, Raghunathan Rengaswamy
A framework for on-line trend extraction and fault diagnosis. Eng. Appl. Artif. Intell. 23(6): 950-960 (2010) - [c3]Shailesh Kochhar, Stefano Mazzocchi, Praveen K. Paritosh:
The anatomy of a large-scale human computation engine. HCOMP@KDD 2010: 10-17
2000 – 2009
- 2008
- [c2]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: 1247-1250 - 2005
- [c1]Praveen K. Paritosh, Kenneth D. Forbus:
Analysis of Strategic Knowledge in Back of the Envelope Reasoning. AAAI 2005: 651-656
Coauthor Index
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