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ORCIDPinar Donmez
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- affiliation: Carnegie Mellon University, Pittsburgh, USA
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2020 – today
- 2024
[i4]Shervin Ghasemlou, Ashish Katiyar, Aparajita Saraf, Seungwhan Moon, Mangesh Pujari, Pinar Donmez, Babak Damavandi, Anuj Kumar:
Doppelgänger's Watch: A Split Objective Approach to Large Language Models. CoRR abs/2409.06107 (2024)- 2021
- [c23]Soumya Batra, Shashank Jain, Peyman Heidari, Ankit Arun, Catharine Youngs, Xintong Li, Pinar Donmez, Shawn Mei, Shiunzu Kuo, Vikas Bhardwaj, Anuj Kumar, Michael White:
Building Adaptive Acceptability Classifiers for Neural NLG. EMNLP (1) 2021: 682-697 - [c22]Peyman Heidari, Arash Einolghozati, Shashank Jain, Soumya Batra, Lee Callender, Ankit Arun, Shawn Mei, Sonal Gupta, Pinar Donmez, Vikas Bhardwaj, Anuj Kumar, Michael White:
Getting to Production with Few-shot Natural Language Generation Models. SIGDIAL 2021: 66-76 - 2020
- [c21]Ankit Arun, Soumya Batra, Vikas Bhardwaj, Ashwini Challa, Pinar Donmez, Peyman Heidari, Hakan Inan, Shashank Jain, Anuj Kumar, Shawn Mei, Karthik Mohan, Michael White:
Best Practices for Data-Efficient Modeling in NLG: How to Train Production-Ready Neural Models with Less Data. COLING (Industry) 2020: 64-77 - [c20]Karishma Sharma, Pinar Donmez, Enming Luo, Yan Liu, I. Zeki Yalniz:
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models. ECCV (27) 2020: 737-753 - [i3]Karishma Sharma, Pinar Donmez, Enming Luo, Yan Liu, I. Zeki Yalniz:
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models. CoRR abs/2003.06729 (2020) - [i2]Ankit Arun, Soumya Batra, Vikas Bhardwaj, Ashwini Challa, Pinar Donmez, Peyman Heidari, Hakan Inan, Shashank Jain, Anuj Kumar, Shawn Mei, Karthik Mohan, Michael White:
Best Practices for Data-Efficient Modeling in NLG: How to Train Production-Ready Neural Models with Less Data. CoRR abs/2011.03877 (2020)
2010 – 2019
- 2014
- [j4]Ioannis Arapakis, Mounia Lalmas, Hakan Ceylan, Pinar Donmez:
Automatically embedding newsworthy links to articles: From implementation to evaluation. J. Assoc. Inf. Sci. Technol. 65(1): 129-145 (2014) - 2013
- [j3]Pinar Donmez:
Introduction to Machine Learning, 2nd ed., by Ethem Alpaydın. Cambridge, MA: The MIT Press 2010. ISBN: 978-0-262-01243-0. $54/£ 39.95 + 584 pages. Nat. Lang. Eng. 19(2): 285-288 (2013) - [c19]Elad Yom-Tov
, Mounia Lalmas, Ricardo Baeza-Yates, Georges Dupret, Janette Lehmann, Pinar Donmez:
Measuring inter-site engagement. IEEE BigData 2013: 228-236 - 2012
- [c18]Hakan Ceylan, Ioannis Arapakis, Pinar Donmez, Mounia Lalmas:
Automatically embedding newsworthy links to articles. CIKM 2012: 1502-1506 - [c17]Edward Bortnikov, Pinar Donmez, Amit Kagian, Ronny Lempel:
Modeling Transactional Queries via Templates. ECIR 2012: 13-24 - [c16]Shilpa Arora, Pinar Donmez, Eric Nyberg:
Cost-Sensitive Multi-strategy Active Annotation for Text Classification. ICMLA (1) 2012: 421-426 - [c15]Umut Ozertem, Olivier Chapelle, Pinar Donmez, Emre Velipasaoglu:
Learning to suggest: a machine learning framework for ranking query suggestions. SIGIR 2012: 25-34 - [c14]Elad Yom-Tov, Mounia Lalmas, Georges Dupret, Ricardo Baeza-Yates, Pinar Donmez, Janette Lehmann:
The effect of links on networked user engagement. WWW (Companion Volume) 2012: 641-642 - 2011
- [j2]Krishnakumar Balasubramanian, Pinar Donmez, Guy Lebanon:
Unsupervised Supervised Learning II: Margin-Based Classification Without Labels. J. Mach. Learn. Res. 12: 3119-3145 (2011) - [c13]Krishnakumar Balasubramanian, Pinar Donmez, Guy Lebanon:
Unsupervised Supervised Learning II: Margin-Based Classification without Labels. AISTATS 2011: 137-145 - 2010
- [j1]Pinar Donmez, Guy Lebanon, Krishnakumar Balasubramanian:
Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels. J. Mach. Learn. Res. 11: 1323-1351 (2010) - [c12]Pinar Donmez, Jaime G. Carbonell, Jeff G. Schneider:
A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy. SDM 2010: 826-837 - [p1]Pinar Donmez, Jaime G. Carbonell:
From Active to Proactive Learning Methods. Advances in Machine Learning I 2010: 97-120 - [i1]Pinar Donmez, Krishnakumar Balasubramanian, Guy Lebanon:
Unsupervised Supervised Learning II: Training Margin Based Classifiers without Labels. CoRR abs/1003.0470 (2010)
2000 – 2009
- 2009
- [c11]Pinar Donmez, Jaime G. Carbonell:
Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve. ECIR 2009: 78-89 - [c10]Pinar Donmez, Jaime G. Carbonell, Jeff G. Schneider:
Efficiently learning the accuracy of labeling sources for selective sampling. KDD 2009: 259-268 - [c9]Pinar Donmez, Krysta M. Svore, Christopher J. C. Burges:
On the local optimality of LambdaRank. SIGIR 2009: 460-467 - [c8]Jonathan L. Elsas, Pinar Donmez, Jamie Callan, Jaime G. Carbonell:
Pairwise Document Classification for Relevance Feedback. TREC 2009 - 2008
- [c7]Pinar Donmez, Jaime G. Carbonell:
Proactive learning: cost-sensitive active learning with multiple imperfect oracles. CIKM 2008: 619-628 - [c6]Pinar Donmez, Jaime G. Carbonell:
Optimizing estimated loss reduction for active sampling in rank learning. ICML 2008: 248-255 - [c5]Pinar Donmez, Jaime G. Carbonell:
Paired Sampling in Density-Sensitive Active Learning. ISAIM 2008 - 2007
- [c4]Pinar Donmez, Jaime G. Carbonell, Paul N. Bennett:
Dual Strategy Active Learning. ECML 2007: 116-127 - 2005
- [c3]Carolyn Penstein Rosé, Pinar Donmez, Gahgene Gweon, Andrea Knight, Brian Junker, William W. Cohen, Kenneth R. Koedinger, Neil T. Heffernan:
Automatic and Semi-Automatic Skill Coding With a View Towards Supporting On-Line Assessment. AIED 2005: 571-578 - [c2]Pinar Donmez, Carolyn P. Rosé, Karsten Stegmann, Armin Weinberger, Frank Fischer:
Supporting CSCL with automatic corpus analysis technology. CSCL 2005: 125-134 - 2004
- [c1]Kemal Oflazer, Pinar Donmez:
SmartReader: An NLP-Based Interactive Reading Application for Language Learning. ISCIS 2004: 751-760
Coauthor Index
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last updated on 2024-10-14 23:29 CEST by the dblp team
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