Curtis G. Northcutt

According to our database, Curtis G. Northcutt authored at least 13 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

EgoCom: A Multi-Person Multi-Modal Egocentric Communications Dataset.

Curtis G. Northcutt, Shengxin Zha, Steven Lovegrove, Richard A. Newcombe

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

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 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 M. 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

CoRR, 2023

2022

Identifying Incorrect Annotations in Multi-Label Classification Data.

Aditya Thyagarajan, Elías Snorrason, Curtis G. Northcutt, Jonas Mueller

CoRR, 2022

2021

Confident Learning for Machines and Humans.

Curtis G. Northcutt

PhD thesis, 2021

Confident Learning: Estimating Uncertainty in Dataset Labels.

Curtis G. Northcutt, Lu Jiang, Isaac L. Chuang

J. Artif. Intell. Res., 2021

Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks.

Curtis G. Northcutt, Anish Athalye, Jonas Mueller

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

Conditional Rap Lyrics Generation with Denoising Autoencoders.

Nikola I. Nikolov, Eric Malmi, Curtis G. Northcutt, Loreto Parisi

CoRR, 2020

Rapformer: Conditional Rap Lyrics Generation with Denoising Autoencoders.

Nikola I. Nikolov, Eric Malmi, Curtis G. Northcutt, Loreto Parisi

Proceedings of the 13th International Conference on Natural Language Generation, 2020

2017

Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels.

Curtis G. Northcutt, Tailin Wu, Isaac L. Chuang

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Comment Ranking Diversification in Forum Discussions.

Curtis G. Northcutt, Kimberly A. Leon, Naichun Chen

Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

2016

Detecting and preventing "multiple-account" cheating in massive open online courses.

Curtis G. Northcutt, Andrew D. Ho, Isaac L. Chuang

Comput. Educ., 2016

2015

Deterring Cheating in Online Environments.

Henry Corrigan-Gibbs, Nakull Gupta, Curtis G. Northcutt, Edward Cutrell, William Thies

ACM Trans. Comput. Hum. Interact., 2015

Measuring and Maximizing the Effectiveness of Honor Codes in Online Courses.

Henry Corrigan-Gibbs, Nakull Gupta, Curtis G. Northcutt, Edward Cutrell, William Thies

Proceedings of the Second ACM Conference on Learning @ Scale, 2015