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LEEP: A New Measure to Evaluate Transferability of Learned Representations


Feb 27, 2020
Cuong V. Nguyen, Tal Hassner, Cedric Archambeau, Matthias Seeger

* 12 pages, 9 figures 

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Transferability and Hardness of Supervised Classification Tasks


Aug 21, 2019
Anh T. Tran, Cuong V. Nguyen, Tal Hassner

* This paper is published at the International Conference on Computer Vision (ICCV) 2019 

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Toward Understanding Catastrophic Forgetting in Continual Learning


Aug 02, 2019
Cuong V. Nguyen, Alessandro Achille, Michael Lam, Tal Hassner, Vijay Mahadevan, Stefano Soatto


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Bayesian Active Learning With Abstention Feedbacks


Jun 04, 2019
Cuong V. Nguyen, Lam Si Tung Ho, Huan Xu, Vu Dinh, Binh Nguyen

* Presented at 2019 ICML Workshop on Human in the Loop Learning (HILL 2019), Long Beach, USA. arXiv admin note: substantial text overlap with arXiv:1705.08481 

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Improving and Understanding Variational Continual Learning


May 06, 2019
Siddharth Swaroop, Cuong V. Nguyen, Thang D. Bui, Richard E. Turner


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Partitioned Variational Inference: A unified framework encompassing federated and continual learning


Nov 27, 2018
Thang D. Bui, Cuong V. Nguyen, Siddharth Swaroop, Richard E. Turner


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Accelerated Randomized Mirror Descent Algorithms For Composite Non-strongly Convex Optimization


Jul 17, 2018
Le Thi Khanh Hien, Cuong V. Nguyen, Huan Xu, Canyi Lu, Jiashi Feng


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Variational Continual Learning


May 20, 2018
Cuong V. Nguyen, Yingzhen Li, Thang D. Bui, Richard E. Turner

* Published at International Conference on Learning Representations (ICLR) 2018 

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Streaming Sparse Gaussian Process Approximations


Nov 12, 2017
Thang D. Bui, Cuong V. Nguyen, Richard E. Turner

* To appear at the 31st Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, USA. The first two authors contributed equally to this work 

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Bayesian Pool-based Active Learning With Abstention Feedbacks


Sep 27, 2017
Cuong V. Nguyen, Lam Si Tung Ho, Huan Xu, Vu Dinh, Binh Nguyen


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