Tameem Adel

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Taco CohenQualcomm AI ResearchE-mail confirmado em qti.qualcomm.com
Max WellingCAIO CuspAI & Professor Machine Learning, University of AmsterdamE-mail confirmado em uva.nl
Adrian WellerDirector of Research, Machine Learning, University of CambridgeE-mail confirmado em eng.cam.ac.uk
Luisa ZintgrafDeepMindE-mail confirmado em deepmind.com
Han ZhaoDepartment of Computer Science, University of Illinois Urbana-ChampaignE-mail confirmado em illinois.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleE-mail confirmado em eng.cam.ac.uk
Alexander WongCanada Research Chair FIET FInstP FRSPH FRGS FGS FRSA FISDDE, Systems Design, University of WaterlooE-mail confirmado em uwaterloo.ca
Geoff GordonProfessor of Machine Learning, Carnegie Mellon UniversityE-mail confirmado em cs.cmu.edu
Richard E TurnerProfessor, University of CambridgeE-mail confirmado em cam.ac.uk
Daniel W StashukProfessor, Systems Design Engineering, University of WaterlooE-mail confirmado em uwaterloo.ca
Isabel ValeraSaarland University and Max Planck Institute for Software SystemsE-mail confirmado em cs.uni-saarland.de
José Miguel Hernández-LobatoProfessor of Machine Learning, University of CambridgeE-mail confirmado em cam.ac.uk
Javier AntoranUniversity of CambridgeE-mail confirmado em cam.ac.uk
David BalduzziXTX MarketsE-mail confirmado em google.com
Ali GhodsiProfessor of Statistics and Computer Science, University of WaterlooE-mail confirmado em uwaterloo.ca
Edward MeedsMicrosoft Research CambridgeE-mail confirmado em microsoft.com
Daniel LizotteAssociate Professor of Computer Science; Associate Professor of Epidemiology and BiostatisticsE-mail confirmado em uwo.ca
Ruth UrnerAssociate Professor, York University, TorontoE-mail confirmado em eecs.yorku.ca
Francesco MasulliFull Professor of Computer Science, University of Genoa (ITALY)E-mail confirmado em unige.it
Stefano RovettaAssociate professor of Computer Science, DIBRIS, University of Genova, ItalyE-mail confirmado em unige.it

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Tameem Adel

Machine Learning Group, University of Cambridge

E-mail confirmado em uwaterloo.ca - Página inicial

Machine Learning Probabilistic Graphical Models Bayesian Inference Deep Learning MRI


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Visualizing deep neural network decisions: Prediction difference analysis LM Zintgraf, TS Cohen, T Adel, M Welling arXiv preprint arXiv:1702.04595, 2017	908	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	154	2019
Getting a clue: A method for explaining uncertainty estimates J Antorán, U Bhatt, T Adel, A Weller, JM Hernández-Lobato arXiv preprint arXiv:2006.06848, 2020	145	2020
Conditional learning of fair representations H Zhao, A Coston, T Adel, GJ Gordon arXiv preprint arXiv:1910.07162, 2019	128	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	111	2018
Continual Learning with Adaptive Weights (CLAW) T Adel, H Zhao, RE Turner International Conference on Learning Representations, 2020	93	2020
Learning the Structure of Sum-Product Networks via an SVD-based Algorithm. T Adel, D Balduzzi, A Ghodsi UAI, 32-41, 2015	83	2015
A new method to visualize deep neural networks LM Zintgraf, TS Cohen, M Welling arXiv preprint arXiv:1603.02518, 2016	63	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	55	2019
Collapsed variational inference for sum-product networks H Zhao, T Adel, G Gordon, B Amos International conference on machine learning, 1310-1318, 2016	55	2016
Visualizing deep neural network decisions: Prediction difference analysis. arXiv 2017 LM Zintgraf, TS Cohen, T Adel, M Welling arXiv preprint arXiv:1702.04595, 0	37
Electrodiagnosis in new frontiers of clinical research H Turker BoD–Books on Demand, 2013	34	2013
Uncertainty estimation in bayesian neural networks and links to interpretability LR Chai Master's Thesis, Massachusetts Institute of Technology, 2018	33	2018
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	33	2017
Learning Bayesian networks with incomplete data by augmentation T Adel, C de Campos Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	21	2017
Automatic variational ABC A Moreno, T Adel, E Meeds, JM Rehg, M Welling arXiv preprint arXiv:1606.08549, 2016	17	2016
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	16	2017
A probabilistic covariate shift assumption for domain adaptation T Adel, A Wong Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015	14	2015
Generative multiple-instance learning models for quantitative electromyography T Adel, B Smith, R Urner, D Stashuk, DJ Lizotte arXiv preprint arXiv:1309.6811, 2013	13	2013
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	13

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