Curtis G. Northcutt

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 14

Top Topics

Discussion Forums

Robust Classification

Top Venues

ACM Trans. Comput. Hum. Interact.

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Curtis G. Northcutt, Shengxin Zha, Steven Lovegrove, Richard Newcombe
EgoCom: A Multi-Person Multi-Modal Egocentric Communications Dataset. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
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 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 (2023)
Aditya Thyagarajan, Elías Snorrason, Curtis G. Northcutt, Jonas Mueller
Identifying Incorrect Annotations in Multi-Label Classification Data. CoRR (2022)
Curtis G. Northcutt, Anish Athalye, Jonas Mueller
Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks. NeurIPS Datasets and Benchmarks (2021)
Curtis G. Northcutt, Lu Jiang, Isaac L. Chuang
Confident Learning: Estimating Uncertainty in Dataset Labels. J. Artif. Intell. Res. 70 (2021)
Curtis G. Northcutt, Anish Athalye, Jonas Mueller
Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks. CoRR (2021)
Curtis G. Northcutt, Kimberly A. Leon, Naichun Chen
Comment Ranking Diversification in Forum Discussions. CoRR (2020)
Nikola I. Nikolov, Eric Malmi, Curtis G. Northcutt, Loreto Parisi
Rapformer: Conditional Rap Lyrics Generation with Denoising Autoencoders. INLG (2020)
Nikola I. Nikolov, Eric Malmi, Curtis G. Northcutt, Loreto Parisi
Conditional Rap Lyrics Generation with Denoising Autoencoders. CoRR (2020)
Curtis G. Northcutt, Lu Jiang, Isaac L. Chuang
Confident Learning: Estimating Uncertainty in Dataset Labels. CoRR (2019)
Curtis G. Northcutt, Tailin Wu, Isaac L. Chuang
Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels. CoRR (2017)
Curtis G. Northcutt, Tailin Wu, Isaac L. Chuang
Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels. UAI (2017)
Curtis G. Northcutt, Kimberly A. Leon, Naichun Chen
Comment Ranking Diversification in Forum Discussions. L@S (2017)
Curtis G. Northcutt, Andrew D. Ho, Isaac L. Chuang
Detecting and preventing "multiple-account" cheating in massive open online courses. Comput. Educ. 100 (2016)
Curtis G. Northcutt, Andrew D. Ho, Isaac L. Chuang
Detecting and Preventing "Multiple-Account" Cheating in Massive Open Online Courses. CoRR (2015)
Henry Corrigan-Gibbs, Nakull Gupta, Curtis G. Northcutt, Edward Cutrell, William Thies
Deterring Cheating in Online Environments. ACM Trans. Comput. Hum. Interact. 22 (6) (2015)
Henry Corrigan-Gibbs, Nakull Gupta, Curtis G. Northcutt, Edward Cutrell, William Thies
Measuring and Maximizing the Effectiveness of Honor Codes in Online Courses. L@S (2015)