Lease, Matthew

11 publications

AAAI 2024 A General Model for Aggregating Annotations AcrossSimple, Complex, and Multi-Object Annotation Tasks (Abstract Reprint) Alexander Braylan, Madalyn Marabella, Omar Alonso, Matthew Lease
DMLR 2024 DMLR: Data-Centric Machine Learning Research - Past, Present and Future 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 A 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 Karlaš, Ahmed Alaa, Adji Bousso Dieng, Natasha Noy, Vijay Janapa Reddi, James Zou, Praveen Paritosh, Mihaela van der Schaar, Kurt Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
JAIR 2023 A General Model for Aggregating Annotations Across Simple, Complex, and Multi-Object Annotation Tasks Alexander Braylan, Madalyn Marabella, Omar Alonso, Matthew Lease
UAI 2022 Learning a Neural Pareto Manifold Extractor with Constraints Soumyajit Gupta, Gurpreet Singh, Raghu Bollapragada, \Matthew Lease
IJCAI 2021 Human-AI Collaboration with Bandit Feedback Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Min Kyung Lee, Matthew Lease
JAIR 2020 Annotator Rationales for Labeling Tasks in Crowdsourcing Mücahid Kutlu, Tyler McDonnell, Tamer Elsayed, Matthew Lease
AAAI 2018 An Interpretable Joint Graphical Model for Fact-Checking from Crowds An T. Nguyen, Aditya Kharosekar, Matthew Lease, Byron C. Wallace
AAAI 2017 Active Discriminative Text Representation Learning Ye Zhang, Matthew Lease, Byron C. Wallace
IJCAI 2017 The Many Benefits of Annotator Rationales for Relevance Judgments Tyler McDonnell, Mücahid Kutlu, Tamer Elsayed, Matthew Lease
UAI 2016 A Correlated Worker Model for Grouped, Imbalanced and Multitask Data An T. Nguyen, Byron C. Wallace, Matthew Lease
AAAI 2006 A Look at Parsing and Its Applications Matthew Lease, Eugene Charniak, Mark Johnson, David McClosky