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Continual learning denotes machine learning methods which can adapt to new environments while retaining and reusing knowledge gained from past experiences.
Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals
Ary L Goldberger, Luis AN Amaral, Leon Glass, Jeffrey M Hausdorff, Plamen Ch Ivanov, Roger G Mark, Joseph E Mietus, George B Moody, Chung-Kang Peng, and H Eugene Stanley · 2000
Earlier work this paper cites.
eICU collaborative research database
Tom Pollard, Alistair Johnson, Jesse Raffa, Leo Anthony Celi, Omar Badawi, and Roger Mark · 2009
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Leakage in data mining: Formulation, detection, and avoidance
Shachar Kaufman, Saharon Rosset, Claudia Perlich, and Ori Stitelman · 2012
Earlier work this paper cites.
Mimic-iii, a freely accessible critical care database
Alistair EW Johnson, Tom J Pollard, Lu Shen, H Lehman Li-Wei, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, and Roger G Mark · 2016
Earlier work this paper cites.
Andrei A Rusu, Neil C Rabinowitz, Guillaume Desjardins, Hubert Soyer, James Kirkpatrick, Koray Kavukcuoglu, Razvan Pascanu, and Raia Hadsell · 2016
Earlier work this paper cites.
Overcoming catastrophic forgetting in neural networks
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, et al · 2017
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Gradient episodic memory for continual learning
David Lopez-Paz and Marc’Aurelio Ranzato · 2017
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icarl: Incremental classifier and representation learning
Sylvestre-Alvise Rebuffi, Alexander Kolesnikov, Georg Sperl, and Christoph H Lampert · 2017
Earlier work this paper cites.
Continual learning with deep generative replay
Hanul Shin, Jung Kwon Lee, Jaehong Kim, and Jiwon Kim · 2017
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Continual learning through synaptic intelligence
Friedemann Zenke, Ben Poole, and Surya Ganguli · 2017
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Learning without forgetting
Zhizhong Li and Derek Hoiem · 2017
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Towards continual learning in medical imaging
Chaitanya Baweja, Ben Glocker, and Konstantinos Kamnitsas · 2018
Earlier work this paper cites.
Dynamic prediction of icu mortality risk using domain adaptation
Tiago Alves, Alberto Laender, Adriano Veloso, and Nivio Ziviani · 2018
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Learning to learn without forgetting by maximizing transfer and minimizing interference
Matthew Riemer, Ignacio Cases, Robert Ajemian, Miao Liu, Irina Rish, Yuhai Tu, and Gerald Tesauro · 2018
Earlier work this paper cites.
Towards robust evaluations of continual learning
Sebastian Farquhar and Yarin Gal · 2018
Earlier work this paper cites.
Progress & compress: A scalable framework for continual learning
Jonathan Schwarz, Wojciech Czarnecki, Jelena Luketina, Agnieszka Grabska-Barwinska, Yee Whye Teh, Razvan Pascanu, and Raia Hadsell · 2018
Cited alongside, same era.
Efficient lifelong learning with A-GEM
Arslan Chaudhry, Marc’Aurelio Ranzato, Marcus Rohrbach, and Mohamed Elhoseiny · 2018
Cited alongside, same era.
Key challenges for delivering clinical impact with artificial intelligence
Christopher J Kelly, Alan Karthikesalingam, Mustafa Suleyman, Greg Corrado, and Dominic King · 2019
Cited alongside, same era.
Task-free continual learning
Rahaf Aljundi, Klaas Kelchtermans, and Tinne Tuytelaars · 2019
Cited alongside, same era.
Three scenarios for continual learning
Gido M Van de Ven and Andreas S Tolias · 2019
Cited alongside, same era.
Gdumb: A simple approach that questions our progress in continual learning
Ameya Prabhu, Philip HS Torr, and Puneet K Dokania · 2020
Later among the works it cites.
Rehearsal-free continual learning over small non-iid batches
Vincenzo Lomonaco, Davide Maltoni, and Lorenzo Pellegrini · 2020
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Mimic-iii and eicu-crd: Feature representation by fiddle preprocessing (version 1.0.0)
S. Tang, P. Davarmanesh, Y. Song, D. Koutra, M. Sjoding, and J. Wiens · 2020
Later among the works it cites.
The role of machine learning in clinical research: transforming the future of evidence generation
E Hope Weissler, Tristan Naumann, Tomas Andersson, Rajesh Ranganath, Olivier Elemento, Yuan Luo, Daniel F Freitag, James Benoit, Michael C Hughes, Faisal Khan, et al · 2021
Closest in time.
A continual learning survey: Defying forgetting in classification tasks
Matthias Delange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Greg Slabaugh, and Tinne Tuytelaars · 2021
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Continuous learning in single-incremental-task scenarios
Davide Maltoni and Vincenzo Lomonaco · 2019
Cited alongside, same era.
Continual lifelong learning with neural networks: A review
German I Parisi, Ronald Kemker, Jose L Part, Christopher Kanan, and Stefan Wermter · 2019
Cited alongside, same era.
On tiny episodic memories in continual learning
Arslan Chaudhry, Marcus Rohrbach, Mohamed Elhoseiny, Thalaiyasingam Ajanthan, Puneet K Dokania, Philip HS Torr, and Marc’Aurelio Ranzato · 2019
Cited alongside, same era.
The value of vital sign trends in predicting and monitoring clinical deterioration: A systematic review
Idar Johan Brekke, Lars Håland Puntervoll, Peter Bank Pedersen, John Kellett, and Mikkel Brabrand · 2019
Cited alongside, same era.
The myth of generalisability in clinical research and machine learning in health care
Joseph Futoma, Morgan Simons, Trishan Panch, Finale Doshi-Velez, and Leo Anthony Celi · 2020
Cited alongside, same era.
Clinical applications of continual learning machine learning
Cecilia S Lee and Aaron Y Lee · 2020
Cited alongside, same era.
CLOPS: continual learning of physiological signals
Dani Kiyasseh, Tingting Zhu, and David A. Clifton · 2020
Cited alongside, same era.
Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, and Davide Bacciu · 2021
Closest in time.
Nikhil Churamani, Ozgur Kara, and Hatice Gunes · 2021
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Evaluation of domain generalization and adaptation on improving model robustness to temporal dataset shift in clinical medicine
Lin Lawrence Guo, Stephen R Pfohl, Jason Fries, Alistair Johnson, Jose Posada, Catherine Aftandilian, Nigam Shah, and Lillian Sung · 2021
Closest in time.
Multi-task prediction of organ dysfunction in the icu using sequential sub-network routing
Subhrajit Roy, Diana Mincu, Eric Loreaux, Anne Mottram, Ivan Protsyuk, Natalie Harris, Emily Xue, Jessica Schrouff, Hugh Montgomery, Ali Connell, et al · 2021
Closest in time.
On evaluation metrics for medical applications of artificial intelligence
Steven Hicks, Inga Strüke, Vajira Thambawita, Malek Hammou, Pål Halvorsen, Michael Riegler, and Sravanthi Parasa · 2021
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Continual learning with dual regularizations
Xuejun Han and Yuhong Guo · 2021
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Hirid-icu-benchmark—a comprehensive machine learning benchmark on high-resolution icu data
Hugo Yèche, Rita Kuznetsova, Marc Zimmermann, Matthias Hüser, Xinrui Lyu, Martin Faltys, and Gunnar Ratsch · 2021
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Sharing icu patient data responsibly under the society of critical care medicine/european society of intensive care medicine joint data science collaboration: The amsterdam university medical centers database (amsterdamumcdb) example
Patrick J Thoral, Jan M Peppink, Ronald H Driessen, Eric JG Sijbrands, Erwin JO Kompanje, Lewis Kaplan, Heatherlee Bailey, Jozef Kesecioglu, Maurizio Cecconi, Matthew Churpek, et al · 2021
Closest in time.
Avalanche: an end-to-end library for continual learning
Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M van de Ven, et al · 2021
Closest in time.