| Lifelong machine learning systems: Beyond learning algorithms DL Silver, Q Yang, L Li 2013 AAAI spring symposium series, 2013 | 455 | 2013 |
| Neural-symbolic learning and reasoning: contributions and challenges AA Garcez, TR Besold, L De Raedt, P Földiak, P Hitzler, T Icard, ... 2015 AAAI Spring Symposium Series, 2015 | 221 | 2015 |
| The task rehearsal method of life-long learning: Overcoming impoverished data DL Silver, RE Mercer Advances in Artificial Intelligence: 15th Conference of the Canadian Society …, 2002 | 185 | 2002 |
| The parallel transfer of task knowledge using dynamic learning rates based on a measure of relatedness DL Silver, RE Mercer Learning to learn, 213-233, 1998 | 126 | 1998 |
| Trajectorynet: An embedded gps trajectory representation for point-based classification using recurrent neural networks X Jiang, EN de Souza, A Pesaranghader, B Hu, DL Silver, S Matwin arXiv preprint arXiv:1705.02636, 2017 | 82 | 2017 |
| Inductive transfer with context-sensitive neural networks DL Silver, R Poirier, D Currie Machine Learning 73, 313-336, 2008 | 77 | 2008 |
| Selective functional transfer: Inductive bias from related tasks D Silver, R Mercer IASTED International Conference on Artificial Intelligence and Soft …, 2001 | 56 | 2001 |
| Guest editor’s introduction: special issue on inductive transfer learning DL Silver, KP Bennett Machine Learning 73, 215-220, 2008 | 55 | 2008 |
| Selective transfer of neural network task knowledge DL Silver, RE Mercer Faculty of Graduate Studies, University of Western Ontario, 2000 | 55 | 2000 |
| Sequential consolidation of learned task knowledge DL Silver, R Poirier Advances in Artificial Intelligence: 17th Conference of the Canadian Society …, 2004 | 53 | 2004 |
| Simmel’s law of the individual and the ethics of the relational self M Lee, D Silver Theory, Culture & Society 29 (7-8), 124-145, 2012 | 50 | 2012 |
| Keystroke and Eye-Tracking Biometrics for User Identification. DL Silver, A Biggs IC-AI, 344-348, 2006 | 48 | 2006 |
| Machine lifelong learning: challenges and benefits for artificial general intelligence DL Silver Artificial General Intelligence: 4th International Conference, AGI 2011 …, 2011 | 47 | 2011 |
| Geyser: a compilation framework for quantum computing with neutral atoms T Patel, D Silver, D Tiwari Proceedings of the 49th Annual International Symposium on Computer …, 2022 | 42 | 2022 |
| A distributed multi-agent meeting scheduler E Shakshuki, HH Koo, D Benoit, D Silver Journal of Computer and System Sciences 74 (2), 279-296, 2008 | 41 | 2008 |
| Using received signal strength variation for surveillance in residential areas S Hussain, R Peters, DL Silver Data Mining, Intrusion Detection, Information Assurance, and Data Networks …, 2008 | 37 | 2008 |
| Fishing activity detection from ais data using autoencoders X Jiang, DL Silver, B Hu, EN de Souza, S Matwin Advances in Artificial Intelligence: 29th Canadian Conference on Artificial …, 2016 | 36 | 2016 |
| LonelyDog@ Home F Hu, D Silver, A Trudel 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and …, 2007 | 35 | 2007 |
| Quilt: Effective multi-class classification on quantum computers using an ensemble of diverse quantum classifiers D Silver, T Patel, D Tiwari Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8324-8332, 2022 | 29 | 2022 |
| Toward a model of consolidation: The retention and transfer of neural net task knowledge DL Silver, RE Mercer Proceedings of the 1995 World Congress on Neural Networks, III-164-III-169, 2019 | 28 | 2019 |
Qiang Yang (杨强）Chief AI Officer@WeBank, Prof. Emeritus @HKUST, IJCAI President 2017-19, AAAI-21 General ChairVerified email at cse.ust.hk
