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
3052017
Learning the Structure of Sum-Product Networks via an SVD-based Algorithm.
T Adel, D Balduzzi, A Ghodsi
UAI, 32-41, 2015
562015
Collapsed variational inference for sum-product networks
H Zhao, T Adel, G Gordon, B Amos
International Conference on Machine Learning, 1310-1318, 2016
362016
Discovering interpretable representations for both deep generative and discriminative models
T Adel, Z Ghahramani, A Weller
International Conference on Machine Learning, 50-59, 2018
302018
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
One-network adversarial fairness
T Adel, I Valera, Z Ghahramani, A Weller
Proceedings of the AAAI Conference on Artificial Intelligence 33, 2412-2420, 2019
192019
Unsupervised domain adaptation with a relaxed covariate shift assumption
T Adel, H Zhao, A Wong
Thirty-First AAAI Conference on Artificial Intelligence, 2017
162017
Automatic variational ABC
A Moreno, T Adel, E Meeds, JM Rehg, M Welling
arXiv preprint arXiv:1606.08549, 2016
122016
Conditional learning of fair representations
H Zhao, A Coston, T Adel, GJ Gordon
International Conference on Learning Representations, 2020
112020
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 Twenty-Ninth AAAI Conference on Artificial Intelligence …, 2015
92015
Learning Bayesian networks with incomplete data by augmentation
T Adel, CP De Campos
arXiv preprint arXiv:1608.07734, 2016
82016
Continual Learning with Adaptive Weights (CLAW)
T Adel, H Zhao, RE Turner
International Conference on Learning Representations, 2020
62020
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
62012
Clinical quantitative electromyography
T Adel, D Stashuk
Electrodiagnosis in New Frontiers of Clinical Research, 89, 2013
52013
A weakly supervised learning approach based on spectral graph-theoretic grouping
T Adel, A Wong, D Stashuk
arXiv preprint arXiv:1508.00507, 2015
32015
Decomposition of intramuscular EMG signals using a knowledge-based certainty classifier algorithm
H Parsaei, DW Stashuk, TM Adel
2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012
32012
Tuning graded possibilistic clustering by visual stability analysis
S Rovetta, F Masulli, T Adel
International Workshop on Fuzzy Logic and Applications, 164-171, 2011
32011
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
22017
GETTING A CLUE: AMethod FOR EXPLAINING UNCERTAINTY ESTIMATES
J Antorán, U Bhatt, T Adel, A Weller, JM Hernández-Lobato
12020
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Articles 1–20