Adel, Tameem

17 publications

JAIR 2025 Adaptive Few-Shot Class-Incremental Learning via Latent Variable Models Tameem Adel

JAIR 2024 Similarity-Based Adaptation for Task-Aware and Task-Free Continual Learning Tameem Adel

ICLR 2021 Getting a CLUE: A Method for Explaining Uncertainty Estimates Javier Antoran, Umang Bhatt, Tameem Adel, Adrian Weller, José Miguel Hernández-Lobato

NeurIPSW 2021 Semi-Supervised Multiple Instance Learning Using Variational Auto-Encoders Ali Nihat Uzunalioglu, Tameem Adel, Jakub Mikolaj Tomczak

ICLR 2020 Conditional Learning of Fair Representations Han Zhao, Amanda Coston, Tameem Adel, Geoffrey J. Gordon

ICLR 2020 Continual Learning with Adaptive Weights (CLAW) Tameem Adel, Han Zhao, Richard E. Turner

NeurIPSW 2019 Exploring Properties of the Deep Image Prior Andreas Kattamis, Tameem Adel, Adrian Weller

AAAI 2019 One-Network Adversarial Fairness Tameem Adel, Isabel Valera, Zoubin Ghahramani, Adrian Weller

ICML 2019 TibGM: A Transferable and Information-Based Graphical Model Approach for Reinforcement Learning Tameem Adel, Adrian Weller

ICML 2018 Discovering Interpretable Representations for Both Deep Generative and Discriminative Models Tameem Adel, Zoubin Ghahramani, Adrian Weller

AAAI 2017 Learning Bayesian Networks with Incomplete Data by Augmentation Tameem Adel, Cassio P. de Campos

AAAI 2017 Unsupervised Domain Adaptation with a Relaxed Covariate Shift Assumption Tameem Adel, Han Zhao, Alexander Wong

ICLR 2017 Visualizing Deep Neural Network Decisions: Prediction Difference Analysis Luisa M. Zintgraf, Taco S. Cohen, Tameem Adel, Max Welling

ICML 2016 Collapsed Variational Inference for Sum-Product Networks Han Zhao, Tameem Adel, Geoff Gordon, Brandon Amos

AAAI 2015 A Probabilistic Covariate Shift Assumption for Domain Adaptation Tameem Adel, Alexander Wong

UAI 2015 Learning the Structure of Sum-Product Networks via an SVD-Based Algorithm Tameem Adel, David Balduzzi, Ali Ghodsi

UAI 2013 Generative Multiple-Instance Learning Models for Quantitative Electromyography Tameem Adel, Benn Smith, Ruth Urner, Daniel W. Stashuk, Daniel J. Lizotte