Northcutt, Curtis G

4 publications

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

ICLRW 2023 Identifying Incorrect Annotations in Multi-Label Classification Data Aditya Thyagarajan, Elias Snorrason, Curtis G Northcutt, Jonas Mueller

JAIR 2021 Confident Learning: Estimating Uncertainty in Dataset Labels Curtis G. Northcutt, Lu Jiang, Isaac L. Chuang

UAI 2017 Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels Curtis G. Northcutt, Tailin Wu, Isaac L. Chuang