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Tameem Adel
Tameem Adel
Machine Learning Group, University of Cambridge
Verified email at uwaterloo.ca - Homepage
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
6632017
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
852019
Discovering interpretable representations for both deep generative and discriminative models
T Adel, Z Ghahramani, A Weller
International Conference on Machine Learning, 50-59, 2018
702018
Learning the Structure of Sum-Product Networks via an SVD-based Algorithm.
T Adel, D Balduzzi, A Ghodsi
UAI, 32-41, 2015
702015
Conditional learning of fair representations
H Zhao, A Coston, T Adel, GJ Gordon
arXiv preprint arXiv:1910.07162, 2019
622019
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
542021
A new method to visualize deep neural networks
LM Zintgraf, TS Cohen, M Welling
arXiv preprint arXiv:1603.02518, 2016
542016
Continual Learning with Adaptive Weights (CLAW)
T Adel, H Zhao, RE Turner
International Conference on Learning Representations, 2020
512020
Collapsed variational inference for sum-product networks
H Zhao, T Adel, G Gordon, B Amos
International conference on machine learning, 1310-1318, 2016
452016
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
262019
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
262017
Visualizing deep neural network decisions: Prediction difference analysis, arXiv
LM Zintgraf, TS Cohen, T Adel, M Welling
arXiv preprint arXiv:1702.04595 1702, 2017
162017
Visualizing deep neural network decisions: Prediction difference analysis. arXiv 2017
LM Zintgraf, TS Cohen, T Adel, M Welling
arXiv preprint arXiv:1702.04595, 0
15
Learning Bayesian networks with incomplete data by augmentation
T Adel, C de Campos
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
132017
Automatic variational ABC
A Moreno, T Adel, E Meeds, JM Rehg, M Welling
arXiv preprint arXiv:1606.08549, 2016
132016
A probabilistic covariate shift assumption for domain adaptation
T Adel, A Wong
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
112015
Generative multiple-instance learning models for quantitative electromyography
T Adel, B Smith, R Urner, D Stashuk, DJ Lizotte
arXiv preprint arXiv:1309.6811, 2013
112013
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
9
Clinical quantitative electromyography
T Adel, D Stashuk
Electrodiagnosis in New Frontiers of Clinical Research, 2013
82013
Muscle categorization using PDF estimation and naive Bayes classification
TM Adel, BE Smith, DW Stashuk
2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012
72012
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