Pinar Donmez

31 papers A* 4A 7B 1Misc 1Journal 7Unranked 10
YearRankTypeTitle / Venue / Authors
2024 J jnl
Doppelgänger's Watch: A Split Objective Approach to Large Language Models.
CoRR
Shervin Ghasemlou, Ashish Katiyar, Aparajita Saraf, Seungwhan Moon, Mangesh Pujari, Pinar Donmez, Babak Damavandi, Anuj Kumar
2021 — conf
Building Adaptive Acceptability Classifiers for Neural NLG.
EMNLP (1)
Soumya Batra, Shashank Jain, Peyman Heidari, Ankit Arun, Catharine Youngs, Xintong Li, Pinar Donmez, Shawn Mei, Shiunzu Kuo, Vikas Bhardwaj, Anuj Kumar, Michael White
2021 B conf
Getting to Production with Few-shot Natural Language Generation Models.
SIGDIAL
Peyman Heidari, Arash Einolghozati, Shashank Jain, Soumya Batra, Lee Callender, Ankit Arun, Shawn Mei, Sonal Gupta, Pinar Donmez, Vikas Bhardwaj, Anuj Kumar, Michael White
2020 — conf
Best Practices for Data-Efficient Modeling in NLG: How to Train Production-Ready Neural Models with Less Data.
COLING (Industry)
Ankit Arun, Soumya Batra, Vikas Bhardwaj, Ashwini Challa, Pinar Donmez, Peyman Heidari, Hakan Inan, Shashank Jain, Anuj Kumar, Shawn Mei, Karthik Mohan, Michael White
2020 J jnl
Best Practices for Data-Efficient Modeling in NLG: How to Train Production-Ready Neural Models with Less Data.
CoRR
Ankit Arun, Soumya Batra, Vikas Bhardwaj, Ashwini Challa, Pinar Donmez, Peyman Heidari, Hakan Inan, Shashank Jain, Anuj Kumar, Shawn Mei, Karthik Mohan, Michael White
2020 — conf
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models.
ECCV (27)
Karishma Sharma, Pinar Donmez, Enming Luo, Yan Liu, I. Zeki Yalniz
2020 J jnl
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models.
CoRR
Karishma Sharma, Pinar Donmez, Enming Luo, Yan Liu, I. Zeki Yalniz
2014 J jnl
Automatically embedding newsworthy links to articles: From implementation to evaluation.
J. Assoc. Inf. Sci. Technol.
Ioannis Arapakis, Mounia Lalmas, Hakan Ceylan, Pinar Donmez
2013 — conf
Measuring inter-site engagement.
IEEE BigData
Elad Yom-Tov, Mounia Lalmas, Ricardo Baeza-Yates, Georges Dupret, Janette Lehmann, Pinar Donmez
2012 A conf
Automatically embedding newsworthy links to articles.
CIKM
Hakan Ceylan, Ioannis Arapakis, Pinar Donmez, Mounia Lalmas
2012 — conf
Cost-Sensitive Multi-strategy Active Annotation for Text Classification.
ICMLA (1)
Shilpa Arora, Pinar Donmez, Eric Nyberg
2012 A* conf
Learning to suggest: a machine learning framework for ranking query suggestions.
SIGIR
Umut Ozertem, Olivier Chapelle, Pinar Donmez, Emre Velipasaoglu
2012 A conf
Modeling Transactional Queries via Templates.
ECIR
Edward Bortnikov, Pinar Donmez, Amit Kagian, Ronny Lempel
2012 — conf
The effect of links on networked user engagement.
WWW (Companion Volume)
Elad Yom-Tov, Mounia Lalmas, Georges Dupret, Ricardo Baeza-Yates, Pinar Donmez, Janette Lehmann
2011 J jnl
Unsupervised Supervised Learning II: Margin-Based Classification Without Labels.
J. Mach. Learn. Res.
Krishnakumar Balasubramanian, Pinar Donmez, Guy Lebanon
2011 A conf
Unsupervised Supervised Learning II: Margin-Based Classification without Labels.
AISTATS
Krishnakumar Balasubramanian, Pinar Donmez, Guy Lebanon
2010 A conf
A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy.
SDM
Pinar Donmez, Jaime G. Carbonell, Jeff G. Schneider
2010 — ch.
From Active to Proactive Learning Methods.
Advances in Machine Learning I
Pinar Donmez, Jaime G. Carbonell
2010 J jnl
Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels.
J. Mach. Learn. Res.
Pinar Donmez, Guy Lebanon, Krishnakumar Balasubramanian
2010 J jnl
Unsupervised Supervised Learning II: Training Margin Based Classifiers without Labels
CoRR
Pinar Donmez, Krishnakumar Balasubramanian, Guy Lebanon
2009 A conf
Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve.
ECIR
Pinar Donmez, Jaime G. Carbonell
2009 A* conf
Efficiently learning the accuracy of labeling sources for selective sampling.
KDD
Pinar Donmez, Jaime G. Carbonell, Jeff G. Schneider
2009 A* conf
On the local optimality of LambdaRank.
SIGIR
Pinar Donmez, Krysta M. Svore, Christopher J. C. Burges
2009 — conf
Pairwise Document Classification for Relevance Feedback.
TREC
Jonathan L. Elsas, Pinar Donmez, Jamie Callan, Jaime G. Carbonell
2008 A* conf
Optimizing estimated loss reduction for active sampling in rank learning.
ICML
Pinar Donmez, Jaime G. Carbonell
2008 Misc conf
Paired Sampling in Density-Sensitive Active Learning.
ISAIM
Pinar Donmez, Jaime G. Carbonell
2008 A conf
Proactive learning: cost-sensitive active learning with multiple imperfect oracles.
CIKM
Pinar Donmez, Jaime G. Carbonell
2007 — conf
Dual Strategy Active Learning.
ECML
Pinar Donmez, Jaime G. Carbonell, Paul N. Bennett
2005 A conf
Automatic and Semi-Automatic Skill Coding With a View Towards Supporting On-Line Assessment.
AIED
Carolyn Penstein Rosé, Pinar Donmez, Gahgene Gweon, Andrea Knight, Brian Junker, William W. Cohen, Kenneth R. Koedinger, Neil T. Heffernan
2005 — conf
Supporting CSCL with automatic corpus analysis technology.
CSCL
Pinar Donmez, Carolyn P. Rosé, Karsten Stegmann, Armin Weinberger, Frank Fischer
2004 — conf
SmartReader: An NLP-Based Interactive Reading Application for Language Learning.
ISCIS
Kemal Oflazer, Pinar Donmez