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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
6432017
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
822019
Learning the Structure of Sum-Product Networks via an SVD-based Algorithm.
T Adel, D Balduzzi, A Ghodsi
UAI, 32-41, 2015
692015
Discovering interpretable representations for both deep generative and discriminative models
T Adel, Z Ghahramani, A Weller
International Conference on Machine Learning, 50-59, 2018
642018
Conditional learning of fair representations
H Zhao, A Coston, T Adel, GJ Gordon
arXiv preprint arXiv:1910.07162, 2019
592019
A new method to visualize deep neural networks
LM Zintgraf, TS Cohen, M Welling
arXiv preprint arXiv:1603.02518, 2016
532016
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
512021
Continual Learning with Adaptive Weights (CLAW)
T Adel, H Zhao, RE Turner
International Conference on Learning Representations, 2020
472020
Collapsed variational inference for sum-product networks
H Zhao, T Adel, G Gordon, B Amos
International conference on machine learning, 1310-1318, 2016
452016
Unsupervised domain adaptation with a relaxed covariate shift assumption
T Adel, H Zhao, A Wong
Thirty-First AAAI Conference on Artificial Intelligence, 2017
252017
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
202019
Visualizing deep neural network decisions: Prediction difference analysis. arXiv 2017
LM Zintgraf, TS Cohen, T Adel, M Welling
arXiv preprint arXiv:1702.04595, 0
20
Learning Bayesian networks with incomplete data by augmentation
T Adel, CP De Campos
Thirty-first aaai conference on artificial intelligence, 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, 0
9
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
Exploring properties of the deep image prior
A Kattamis, T Adel, A Weller
52019
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
52017
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