Tameem Adel

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Taco CohenQualcomm AI ResearchVerified email at qti.qualcomm.com
Max WellingDistinguished Scientist at MSR AI4Science & Professor Machine Learning, University of AmsterdamVerified email at uva.nl
Luisa ZintgrafDeepMindVerified email at deepmind.com
Adrian WellerDirector of Research, Machine Learning, University of CambridgeVerified email at eng.cam.ac.uk
Han ZhaoAssistant Professor of Computer Science, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
Alexander WongCanada Research Chair, FIET FInstP FRSPH FISDDE, Systems Design Engineering, University of WaterlooVerified email at uwaterloo.ca
Geoff GordonProfessor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Daniel W StashukProfessor, Systems Design Engineering, University of WaterlooVerified email at uwaterloo.ca
Richard E TurnerProfessor, University of CambridgeVerified email at cam.ac.uk
Isabel ValeraSaarland University and Max Planck Institute for Software SystemsVerified email at cs.uni-saarland.de
José Miguel Hernández-LobatoProfessor of Machine Learning, University of CambridgeVerified email at cam.ac.uk
Javier AntoranUniversity of CambridgeVerified email at cam.ac.uk
David BalduzziXTX MarketsVerified email at google.com
Ali GhodsiProfessor of Statistics and Computer Science, University of WaterlooVerified email at uwaterloo.ca
Edward MeedsMicrosoft Research CambridgeVerified email at microsoft.com
Daniel LizotteAssociate Professor of Computer Science; Associate Professor of Epidemiology and BiostatisticsVerified email at uwo.ca
Ruth UrnerAssociate Professor, York University, TorontoVerified email at eecs.yorku.ca
Francesco MasulliFull Professor of Computer Science, University of Genoa (ITALY)Verified email at unige.it
Stefano RovettaAssociate professor of Computer Science, DIBRIS, University of Genova, ItalyVerified email at unige.it

Tameem Adel

Machine Learning Group, University of Cambridge

Verified email at uwaterloo.ca - Homepage

Machine Learning Probabilistic Graphical Models Bayesian Inference Deep Learning MRI


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Visualizing deep neural network decisions: Prediction difference analysis LM Zintgraf, TS Cohen, T Adel, M Welling arXiv preprint arXiv:1702.04595, 2017	736	2017
One-network adversarial fairness T Adel, I Valera, Z Ghahramani, A Weller Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2412-2420, 2019	111	2019
Conditional learning of fair representations H Zhao, A Coston, T Adel, GJ Gordon arXiv preprint arXiv:1910.07162, 2019	81	2019
Discovering interpretable representations for both deep generative and discriminative models T Adel, Z Ghahramani, A Weller International Conference on Machine Learning, 50-59, 2018	80	2018
Getting a clue: A method for explaining uncertainty estimates J Antorán, U Bhatt, T Adel, A Weller, JM Hernández-Lobato ICLR 2021, or arXiv preprint arXiv:2006.06848, 2021	79	2021
Learning the Structure of Sum-Product Networks via an SVD-based Algorithm. T Adel, D Balduzzi, A Ghodsi UAI, 32-41, 2015	75	2015
A new method to visualize deep neural networks LM Zintgraf, TS Cohen, M Welling arXiv preprint arXiv:1603.02518, 2016	60	2016
Continual Learning with Adaptive Weights (CLAW) T Adel, H Zhao, RE Turner International Conference on Learning Representations, 2020	58	2020
Collapsed variational inference for sum-product networks H Zhao, T Adel, G Gordon, B Amos International conference on machine learning, 1310-1318, 2016	48	2016
Human Centered Artificial Intelligence: Weaving UX into Algorithmic Decision Making. RR Bond, MD Mulvenna, H Wan, DD Finlay, A Wong, A Koene, R Brisk, ... RoCHI, 2-9, 2019	34	2019
Unsupervised domain adaptation with a relaxed covariate shift assumption T Adel, H Zhao, A Wong Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	27	2017
Electrodiagnosis in new frontiers of clinical research H Turker BoD–Books on Demand, 2013	27	2013
Visualizing deep neural network decisions: Prediction difference analysis. arXiv 2017 LM Zintgraf, TS Cohen, T Adel, M Welling arXiv preprint arXiv:1702.04595, 0	27
Learning Bayesian networks with incomplete data by augmentation T Adel, C de Campos Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	19	2017
Automatic variational ABC A Moreno, T Adel, E Meeds, JM Rehg, M Welling arXiv preprint arXiv:1606.08549, 2016	14	2016
Generative multiple-instance learning models for quantitative electromyography T Adel, B Smith, R Urner, D Stashuk, DJ Lizotte arXiv preprint arXiv:1309.6811, 2013	12	2013
A probabilistic covariate shift assumption for domain adaptation T Adel, A Wong Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015	10	2015
Visualizing deep neural network decisions: prediction difference analysis (2017) LM Zintgraf, TS Cohen, T Adel, M Welling arXiv preprint arXiv:1702.04595, 1-12, 0	10
3D scattering transforms for disease classification in neuroimaging T Adel, T Cohen, M Caan, M Welling, AGEhIV study group, ... NeuroImage: Clinical 14, 506-517, 2017	9	2017
Clinical quantitative electromyography T Adel, D Stashuk Electrodiagnosis in New Frontiers of Clinical Research, 2013	7	2013

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