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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
8002017
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
1262019
Getting a clue: A method for explaining uncertainty estimates
J Antorán, U Bhatt, T Adel, A Weller, JM Hernández-Lobato
arXiv preprint arXiv:2006.06848, 2020
1032020
Conditional learning of fair representations
H Zhao, A Coston, T Adel, GJ Gordon
arXiv preprint arXiv:1910.07162, 2019
1002019
Discovering interpretable representations for both deep generative and discriminative models
T Adel, Z Ghahramani, A Weller
International Conference on Machine Learning, 50-59, 2018
922018
Learning the Structure of Sum-Product Networks via an SVD-based Algorithm.
T Adel, D Balduzzi, A Ghodsi
UAI, 32-41, 2015
792015
Continual Learning with Adaptive Weights (CLAW)
T Adel, H Zhao, RE Turner
International Conference on Learning Representations, 2020
702020
A new method to visualize deep neural networks
LM Zintgraf, TS Cohen, M Welling
arXiv preprint arXiv:1603.02518, 2016
612016
Collapsed variational inference for sum-product networks
H Zhao, T Adel, G Gordon, B Amos
International conference on machine learning, 1310-1318, 2016
492016
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
422019
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
302017
Electrodiagnosis in new frontiers of clinical research
H Turker
BoD–Books on Demand, 2013
292013
Visualizing deep neural network decisions: Prediction difference analysis. arXiv 2017
LM Zintgraf, TS Cohen, T Adel, M Welling
arXiv preprint arXiv:1702.04595, 0
29
Uncertainty estimation in bayesian neural networks and links to interpretability
LR Chai
Master's Thesis, Massachusetts Institute of Technology, 2018
242018
Learning Bayesian networks with incomplete data by augmentation
T Adel, C de Campos
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
212017
Automatic variational ABC
A Moreno, T Adel, E Meeds, JM Rehg, M Welling
arXiv preprint arXiv:1606.08549, 2016
142016
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
122017
Generative multiple-instance learning models for quantitative electromyography
T Adel, B Smith, R Urner, D Stashuk, DJ Lizotte
arXiv preprint arXiv:1309.6811, 2013
122013
A probabilistic covariate shift assumption for domain adaptation
T Adel, A Wong
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
112015
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
10
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