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
International Conference on Learning Representations (ICLR) 2017, 2017
3932017
Learning the Structure of Sum-Product Networks via an SVD-based Algorithm.
T Adel, D Balduzzi, A Ghodsi
UAI, 32-41, 2015
612015
Collapsed variational inference for sum-product networks
H Zhao, T Adel, G Gordon, B Amos
International Conference on Machine Learning, 1310-1318, 2016
432016
A new method to visualize deep neural networks
LM Zintgraf, TS Cohen, M Welling
arXiv preprint arXiv:1603.02518, 2016
402016
Discovering interpretable representations for both deep generative and discriminative models
T Adel, Z Ghahramani, A Weller
International Conference on Machine Learning, 50-59, 2018
372018
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
282019
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
252013
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
212017
Continual Learning with Adaptive Weights (CLAW)
T Adel, H Zhao, RE Turner
International Conference on Learning Representations, 2020
152020
Conditional learning of fair representations
H Zhao, A Coston, T Adel, GJ Gordon
International Conference on Learning Representations, 2020
152020
Automatic variational ABC
A Moreno, T Adel, E Meeds, JM Rehg, M Welling
arXiv preprint arXiv:1606.08549, 2016
122016
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
92015
Learning Bayesian networks with incomplete data by augmentation
T Adel, C de Campos
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
72017
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
Human Centered Artificial Intelligence: Weaving UX into Algorithmic Decision Making
RR Bond, M Mulvenna, D Finlay, A Wong, A Koene, R Brisk, J Boger, ...
RoCHI 2019: International Conference on Human-Computer Interaction, 2019
62019
Clinical quantitative electromyography
T Adel, D Stashuk
Electrodiagnosis in New Frontiers of Clinical Research, 89, 2013
62013
Visualizing deep neural network decisions: prediction difference analysis (2017)
LM Zintgraf, TS Cohen, T Adel, M Welling
5
Visualizing deep neural network decisions: Prediction difference analysis. arXiv 2017
LM Zintgraf, TS Cohen, T Adel, M Welling
arXiv preprint arXiv:1702.04595, 0
5
Getting a clue: A method for explaining uncertainty estimates
J Antorán, U Bhatt, T Adel, A Weller, JM Hernández-Lobato
International Conference on Learning Representations (ICLR) 2021, 2020
42020
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