Richard S. Zemel - Concepedia

Author

Richard S. Zemel

Also Known As

Boutilier, Craig, R. S. Zemel, R.S. Zemel, RICHARD S. ZEMEL, Richard S. Zemel, Richard Zemel, Urtasun, Raquel, Zemel, R., Zemel, Richard, Zemel, Richard S.

298

Publications

38K

Citations

H-Index

223

Concepts

All Affiliations

University of Toronto Canadian Institute for Advanced Research

About

Richard S. Zemel is an author at University of Toronto specializing in engineering, data science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	52	106	26.5K
2	Business	8	8	734
3	Arts	4	4	865
4	Education	2	2	44
5	Health Sciences	2	2	317

Richard S. Zemel

150

Publications

33.3K

Citations

H-Index

Page 1

	Year	Citations
Prototypical Networks for Few-shot Learning Jake Snell, Kevin Swersky, Richard S. Zemel arXiv (Cornell University) Artificial IntelligenceFew-shot LearningEngineeringMachine LearningData Science	2017	5.2K
Fairness through awareness Cynthia Dwork, Moritz Hardt, Toniann Pitassi, EngineeringDiscriminationFairness Through AwarenessSocial StratificationClassification Task	2012	3.3K
Siamese Neural Networks for One-shot Image Recognition Gregory Koch, Richard S. Zemel, Ruslan Salakhutdinov Few-shot LearningConvolutional Neural NetworkEngineeringMachine LearningImage Analysis	2015	3.2K
Advances in Neural Information Processing Systems 5 Richard S. Zemel, Christopher K. I. Williams, Michael C. Mozer Computational NeuroscienceIntelligent ProcessingComputer ScienceBrain-like ComputingNeurocomputers	1993	1.9K
Shortcut learning in deep neural networks Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis, Nature Machine Intelligence Deep Neural NetworksEngineeringMachine LearningSparse Neural NetworkShortcut Learning	2020	1.6K
Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models Ryan Kiros, Ruslan Salakhutdinov, Richard S. Zemel arXiv (Cornell University) Natural Language ProcessingMultimodal LlmImage AnalysisMachine LearningData Science	2014	1.3K
The Helmholtz Machine Peter Dayan, Geoffrey E. Hinton, Radford M. Neal, Neural Computation EngineeringMachine LearningHelmholtz MachineMachine PerceptionAdvanced Intelligent System	1995	1.2K
Proceedings of the 24th International Conference on Neural Information Processing Systems John Shawe‐Taylor, Richard S. Zemel, Peter L. Bartlett,	2011	1.2K
Autoencoders, Minimum Description Length and Helmholtz Free Energy Geoffrey E. Hinton, Richard S. Zemel	1993	1.1K
Multiscale conditional random fields for image labeling Xuming He, Richard S. Zemel, Miguel Á. Carreira-Perpiñán Multiple Instance LearningEngineeringMachine LearningImage RetrievalMarkov Random Field	2004	840

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