Tameem Adel

According to our database, Tameem Adel authored at least 24 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Similarity-Based Adaptation for Task-Aware and Task-Free Continual Learning.

Tameem Adel

J. Artif. Intell. Res., 2024

Trustworthy Artificial Intelligence in the Context of Metrology.

Tameem Adel, Sam Bilson, Mark Levene, Andrew Thompson

CoRR, 2024

2023

A General Model for Side Information in Neural Networks.

Tameem Adel, Mark Levene

Algorithms, 2023

Probabilistic Adaptation for Meta-Learning.

Tameem Adel

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2021

Getting a CLUE: A Method for Explaining Uncertainty Estimates.

Javier Antorán, Umang Bhatt, Tameem Adel, Adrian Weller, José Miguel Hernández-Lobato

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Continual Learning with Adaptive Weights (CLAW).

Tameem Adel, Han Zhao, Richard E. Turner

Proceedings of the 8th International Conference on Learning Representations, 2020

Conditional Learning of Fair Representations.

Han Zhao, Amanda Coston, Tameem Adel, Geoffrey J. Gordon

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Human Centered Artificial Intelligence: Weaving UX into Algorithmic Decision Making.

Raymond R. Bond, Maurice D. Mulvenna, Hui Wan, Dewar D. Finlay, Alexander Wong, Ansgar Koene, Rob Brisk, Jennifer Boger, Tameem Adel

Proceedings of the 16th International Conference on Human-Computer Interaction, 2019

TibGM: A Transferable and Information-Based Graphical Model Approach for Reinforcement Learning.

Tameem Adel, Adrian Weller

Proceedings of the 36th International Conference on Machine Learning, 2019

One-Network Adversarial Fairness.

Tameem Adel, Isabel Valera, Zoubin Ghahramani, Adrian Weller

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Discovering Interpretable Representations for Both Deep Generative and Discriminative Models.

Tameem Adel, Zoubin Ghahramani, Adrian Weller

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Visualizing Deep Neural Network Decisions: Prediction Difference Analysis.

Luisa M. Zintgraf, Taco S. Cohen, Tameem Adel, Max Welling

Proceedings of the 5th International Conference on Learning Representations, 2017

Unsupervised Domain Adaptation with a Relaxed Covariate Shift Assumption.

Tameem Adel, Han Zhao, Alexander Wong

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Learning Bayesian Networks with Incomplete Data by Augmentation.

Tameem Adel, Cassio P. de Campos

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Learning Bayesian Networks without Assuming Missing at Random.

Tameem Adel, Cassio P. de Campos

CoRR, 2016

Collapsed Variational Inference for Sum-Product Networks.

Han Zhao, Tameem Adel, Geoffrey J. Gordon, Brandon Amos

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

A Weakly Supervised Learning Approach based on Spectral Graph-Theoretic Grouping.

Tameem Adel, Alexander Wong, Daniel W. Stashuk

CoRR, 2015

Learning the Structure of Sum-Product Networks via an SVD-based Algorithm.

Tameem Adel, David Balduzzi, Ali Ghodsi

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

A Probabilistic Covariate Shift Assumption for Domain Adaptation.

Tameem Adel, Alexander Wong

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2013

Generative Multiple-Instance Learning Models For Quantitative Electromyography.

Tameem Adel, Benn Smith, Ruth Urner, Daniel W. Stashuk, Daniel J. Lizotte

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

2012

Decomposition of intramuscular EMG signals using a knowledge -based certainty classifier algorithm.

Hossein Parsaei, Daniel W. Stashuk, Tameem Adel

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Muscle categorization using PDF estimation and Naive Bayes classification.

Tameem Adel, Benn Smith, Daniel W. Stashuk

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

Tuning Graded Possibilistic Clustering by Visual Stability Analysis.

Stefano Rovetta, Francesco Masulli, Tameem Adel

Proceedings of the Fuzzy Logic and Applications - 9th International Workshop, 2011

2010

ASCM: An accelerated soft c-means clustering algorithm.

Tameem Adel, Mohamed Ismail

Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010