Tameem Adel
Tameem Adel
Machine Learning Group, University of Cambridge
Потвърден имейл адрес: uwaterloo.ca - Начална страница
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Visualizing deep neural network decisions: Prediction difference analysis
LM Zintgraf, TS Cohen, T Adel, M Welling
arXiv preprint arXiv:1702.04595, 2017
4732017
Learning the Structure of Sum-Product Networks via an SVD-based Algorithm.
T Adel, D Balduzzi, A Ghodsi
UAI, 32-41, 2015
662015
Discovering interpretable representations for both deep generative and discriminative models
T Adel, Z Ghahramani, A Weller
International Conference on Machine Learning, 50-59, 2018
502018
Collapsed variational inference for sum-product networks
H Zhao, T Adel, G Gordon, B Amos
International Conference on Machine Learning, 1310-1318, 2016
452016
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
412019
A new method to visualize deep neural networks
LM Zintgraf, TS Cohen, M Welling
arXiv preprint arXiv:1603.02518, 2016
352016
Continual Learning with Adaptive Weights (CLAW)
T Adel, H Zhao, RE Turner
International Conference on Learning Representations, 2020
302020
Conditional learning of fair representations
H Zhao, A Coston, T Adel, GJ Gordon
arXiv preprint arXiv:1910.07162, 2019
262019
Unsupervised domain adaptation with a relaxed covariate shift assumption
T Adel, H Zhao, A Wong
Thirty-First AAAI Conference on Artificial Intelligence, 2017
242017
Lower bounds for exact model counting and applications in probabilistic databases
P Beame, J Li, S Roy, D Suciu
arXiv preprint arXiv:1309.6815, 2013
232013
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
152021
Automatic variational ABC
A Moreno, T Adel, E Meeds, JM Rehg, M Welling
arXiv preprint arXiv:1606.08549, 2016
132016
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
112019
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
A probabilistic covariate shift assumption for domain adaptation
T Adel, A Wong
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
102015
Learning Bayesian networks with incomplete data by augmentation
T Adel, CP De Campos
Thirty-first aaai conference on artificial intelligence, 2017
82017
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
Visualizing deep neural network decisions: Prediction difference analysis. arXiv 2017
LM Zintgraf, TS Cohen, T Adel, M Welling
arXiv preprint arXiv:1702.04595, 0
7
Visualizing deep neural network decisions: prediction difference analysis. arXiv
LM Zintgraf, TS Cohen, T Adel, M Welling
Preprint].[Google Scholar], 2017
62017
Visualizing deep neural network decisions: prediction difference analysis (2017)
LM Zintgraf, TS Cohen, T Adel, M Welling
6
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