Tameem Adel 个人学术档案 - 学术资源搜索

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Taco CohenQualcomm AI Research在 qti.qualcomm.com 的电子邮件经过验证
Max WellingDistinguished Scientist at MSR AI4Science & Professor Machine Learning, University of Amsterdam在 uva.nl 的电子邮件经过验证
Adrian WellerDirector of Research, Machine Learning, University of Cambridge在 eng.cam.ac.uk 的电子邮件经过验证
Luisa ZintgrafDeepMind在 deepmind.com 的电子邮件经过验证
Han ZhaoAssistant Professor of Computer Science, University of Illinois at Urbana-Champaign在 illinois.edu 的电子邮件经过验证
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, Google在 eng.cam.ac.uk 的电子邮件经过验证
Alexander WongCanada Research Chair, FIET FInstP FRSPH FGS FRSA FISDDE, Systems Design Eng, University of Waterloo在 uwaterloo.ca 的电子邮件经过验证
Geoff GordonProfessor of Machine Learning, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Richard E TurnerProfessor, University of Cambridge在 cam.ac.uk 的电子邮件经过验证
Daniel W StashukProfessor, Systems Design Engineering, University of Waterloo在 uwaterloo.ca 的电子邮件经过验证
Isabel ValeraSaarland University and Max Planck Institute for Software Systems在 cs.uni-saarland.de 的电子邮件经过验证
José Miguel Hernández-LobatoProfessor of Machine Learning, University of Cambridge在 cam.ac.uk 的电子邮件经过验证
Javier AntoranUniversity of Cambridge在 cam.ac.uk 的电子邮件经过验证
David BalduzziXTX Markets在 google.com 的电子邮件经过验证
Ali GhodsiProfessor of Statistics and Computer Science, University of Waterloo在 uwaterloo.ca 的电子邮件经过验证
Edward MeedsMicrosoft Research Cambridge在 microsoft.com 的电子邮件经过验证
Daniel LizotteAssociate Professor of Computer Science; Associate Professor of Epidemiology and Biostatistics在 uwo.ca 的电子邮件经过验证
Ruth UrnerAssociate Professor, York University, Toronto在 eecs.yorku.ca 的电子邮件经过验证
Francesco MasulliFull Professor of Computer Science, University of Genoa (ITALY)在 unige.it 的电子邮件经过验证
Stefano RovettaAssociate professor of Computer Science, DIBRIS, University of Genova, Italy在 unige.it 的电子邮件经过验证

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Tameem Adel

Machine Learning Group, University of Cambridge

在 uwaterloo.ca 的电子邮件经过验证 - 首页

Machine Learning Probabilistic Graphical Models Bayesian Inference Deep Learning MRI


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Visualizing deep neural network decisions: Prediction difference analysis LM Zintgraf, TS Cohen, T Adel, M Welling arXiv preprint arXiv:1702.04595, 2017	822	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	136	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	111	2020
Conditional learning of fair representations H Zhao, A Coston, T Adel, GJ Gordon arXiv preprint arXiv:1910.07162, 2019	108	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	99	2018
Learning the Structure of Sum-Product Networks via an SVD-based Algorithm. T Adel, D Balduzzi, A Ghodsi UAI, 32-41, 2015	81	2015
Continual Learning with Adaptive Weights (CLAW) T Adel, H Zhao, RE Turner International Conference on Learning Representations, 2020	77	2020
A new method to visualize deep neural networks LM Zintgraf, TS Cohen, M Welling arXiv preprint arXiv:1603.02518, 2016	62	2016
Collapsed variational inference for sum-product networks H Zhao, T Adel, G Gordon, B Amos International conference on machine learning, 1310-1318, 2016	50	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	45	2019
Electrodiagnosis in new frontiers of clinical research H Turker BoD–Books on Demand, 2013	32	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	32
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	30	2017
Uncertainty estimation in bayesian neural networks and links to interpretability LR Chai Master's Thesis, Massachusetts Institute of Technology, 2018	24	2018
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	14	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	13	2017
A probabilistic covariate shift assumption for domain adaptation T Adel, A Wong Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015	12	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	12	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	10

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