Proceedings

Dinh Phung

Department of Data Science and Artificial Intelligence , Monash University , Australia; VinAI Research , Vietnam

8 papers in the IJCAI proceedings

IJCAI 2021

Optimal Transport for Deep Generative Models: State of the Art and Research Challenges
with Viet Huynh, He Zhao
doi:10.24963/ijcai.2021/607
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TIDOT: A Teacher Imitation Learning Approach for Domain Adaptation with Optimal Transport
with Tuan Nguyen, Trung Le, Nhan Dam, Quan Hung Tran, Truyen Nguyen
doi:10.24963/ijcai.2021/394
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Topic Modelling Meets Deep Neural Networks: A Survey
with He Zhao, Viet Huynh, Yuan Jin, Lan Du, Wray Buntine
doi:10.24963/ijcai.2021/638
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IJCAI 2019

Learning Generative Adversarial Networks from Multiple Data Sources
with Trung Le, Quan Hoang, Hung Vu, Tu Dinh Nguyen, Hung Bui
doi:10.24963/ijcai.2019/391
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Three-Player Wasserstein GAN via Amortised Duality
with Nhan Dam, Quan Hoang, Trung Le, Tu Dinh Nguyen, Hung Bui
doi:10.24963/ijcai.2019/305
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IJCAI 2018

Geometric Enclosing Networks
with Trung Le, Hung Vu, Tu Dinh Nguyen
doi:10.24963/ijcai.2018/326
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IJCAI 2017

Discriminative Bayesian Nonparametric Clustering
with Vu Nguyen, Trung Le, Hung Bui
doi:10.24963/ijcai.2017/355
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Large-scale Online Kernel Learning with Random Feature Reparameterization
with Tu Dinh Nguyen, Trung Le, Hung Bui
doi:10.24963/ijcai.2017/354
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