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ORCIDCurtis G. Northcutt
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- affiliation: Massachusetts Institute of Technology, Cambridge, MA, USA
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2020 – today
- 2023
[j4]Curtis G. Northcutt
, Shengxin Zha, Steven Lovegrove, Richard A. Newcombe:
EgoCom: A Multi-Person Multi-Modal Egocentric Communications Dataset. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6783-6793 (2023)- [i8]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:
DMLR: Data-centric Machine Learning Research - Past, Present and Future. CoRR abs/2311.13028 (2023) - 2022
- [i7]Aditya Thyagarajan, Elías Snorrason, Curtis G. Northcutt, Jonas Mueller:
Identifying Incorrect Annotations in Multi-Label Classification Data. CoRR abs/2211.13895 (2022) - 2021
- [b1]Curtis G. Northcutt:
Confident Learning for Machines and Humans. Massachusetts Institute of Technology, USA, 2021 - [j3]Curtis G. Northcutt, Lu Jiang, Isaac L. Chuang:
Confident Learning: Estimating Uncertainty in Dataset Labels. J. Artif. Intell. Res. 70: 1373-1411 (2021) - [c5]Curtis G. Northcutt, Anish Athalye, Jonas Mueller:
Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks. NeurIPS Datasets and Benchmarks 2021 - [i6]Curtis G. Northcutt, Anish Athalye, Jonas Mueller:
Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks. CoRR abs/2103.14749 (2021) - 2020
- [c4]Nikola I. Nikolov, Eric Malmi, Curtis G. Northcutt, Loreto Parisi:
Rapformer: Conditional Rap Lyrics Generation with Denoising Autoencoders. INLG 2020: 360-373 - [i5]Curtis G. Northcutt, Kimberly A. Leon, Naichun Chen:
Comment Ranking Diversification in Forum Discussions. CoRR abs/2002.12457 (2020) - [i4]Nikola I. Nikolov, Eric Malmi, Curtis G. Northcutt, Loreto Parisi:
Conditional Rap Lyrics Generation with Denoising Autoencoders. CoRR abs/2004.03965 (2020)
2010 – 2019
- 2019
- [i3]Curtis G. Northcutt, Lu Jiang, Isaac L. Chuang:
Confident Learning: Estimating Uncertainty in Dataset Labels. CoRR abs/1911.00068 (2019) - 2017
- [c3]Curtis G. Northcutt, Kimberly A. Leon, Naichun Chen:
Comment Ranking Diversification in Forum Discussions. L@S 2017: 327-330 - [c2]Curtis G. Northcutt, Tailin Wu, Isaac L. Chuang:
Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels. UAI 2017 - [i2]Curtis G. Northcutt, Tailin Wu, Isaac L. Chuang:
Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels. CoRR abs/1705.01936 (2017) - 2016
- [j2]Curtis G. Northcutt, Andrew D. Ho, Isaac L. Chuang:
Detecting and preventing "multiple-account" cheating in massive open online courses. Comput. Educ. 100: 71-80 (2016) - 2015
- [j1]Henry Corrigan-Gibbs, Nakull Gupta, Curtis G. Northcutt, Edward Cutrell, William Thies:
Deterring Cheating in Online Environments. ACM Trans. Comput. Hum. Interact. 22(6): 28:1-28:23 (2015) - [c1]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: 223-228 - [i1]Curtis G. Northcutt, Andrew D. Ho, Isaac L. Chuang:
Detecting and Preventing "Multiple-Account" Cheating in Massive Open Online Courses. CoRR abs/1508.05699 (2015)
Coauthor Index
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