Curtis G. Northcutt

19 papers A 1B 3Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	DMLR: Data-centric Machine Learning Research - Past, Present and Future. J. Data-centric Mach. Learn. Res. 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 Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
2023	J	`jnl`	DMLR: Data-centric Machine Learning Research - Past, Present and Future. CoRR 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 Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
2023	J	`jnl`	EgoCom: A Multi-Person Multi-Modal Egocentric Communications Dataset. IEEE Trans. Pattern Anal. Mach. Intell. Curtis G. Northcutt, Shengxin Zha, Steven Lovegrove, Richard A. Newcombe
2022	J	`jnl`	Identifying Incorrect Annotations in Multi-Label Classification Data. CoRR Aditya Thyagarajan, Elías Snorrason, Curtis G. Northcutt, Jonas Mueller
2021	—	`—`	Confident Learning for Machines and Humans. Curtis G. Northcutt
2021	J	`jnl`	Confident Learning: Estimating Uncertainty in Dataset Labels. J. Artif. Intell. Res. Curtis G. Northcutt, Lu Jiang, Isaac L. Chuang
2021	—	`conf`	Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks. NeurIPS Datasets and Benchmarks Curtis G. Northcutt, Anish Athalye, Jonas Mueller
2021	J	`jnl`	Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks. CoRR Curtis G. Northcutt, Anish Athalye, Jonas Mueller
2020	J	`jnl`	Comment Ranking Diversification in Forum Discussions. CoRR Curtis G. Northcutt, Kimberly A. Leon, Naichun Chen
2020	J	`jnl`	Conditional Rap Lyrics Generation with Denoising Autoencoders. CoRR Nikola I. Nikolov, Eric Malmi, Curtis G. Northcutt, Loreto Parisi
2020	B	`conf`	Rapformer: Conditional Rap Lyrics Generation with Denoising Autoencoders. INLG Nikola I. Nikolov, Eric Malmi, Curtis G. Northcutt, Loreto Parisi
2019	J	`jnl`	Confident Learning: Estimating Uncertainty in Dataset Labels. CoRR Curtis G. Northcutt, Lu Jiang, Isaac L. Chuang
2017	B	`conf`	Comment Ranking Diversification in Forum Discussions. L@S Curtis G. Northcutt, Kimberly A. Leon, Naichun Chen
2017	A	`conf`	Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels. UAI Curtis G. Northcutt, Tailin Wu, Isaac L. Chuang
2017	J	`jnl`	Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels. CoRR Curtis G. Northcutt, Tailin Wu, Isaac L. Chuang
2016	J	`jnl`	Detecting and preventing "multiple-account" cheating in massive open online courses. Comput. Educ. Curtis G. Northcutt, Andrew D. Ho, Isaac L. Chuang
2015	J	`jnl`	Detecting and Preventing "Multiple-Account" Cheating in Massive Open Online Courses. CoRR Curtis G. Northcutt, Andrew D. Ho, Isaac L. Chuang
2015	J	`jnl`	Deterring Cheating in Online Environments. ACM Trans. Comput. Hum. Interact. Henry Corrigan-Gibbs, Nakull Gupta, Curtis G. Northcutt, Edward Cutrell, William Thies
2015	B	`conf`	Measuring and Maximizing the Effectiveness of Honor Codes in Online Courses. L@S Henry Corrigan-Gibbs, Nakull Gupta, Curtis G. Northcutt, Edward Cutrell, William Thies