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Stochastic Multiple Target Sampling Gradient Descent



Hoang Phan , Ngoc Tran , Trung Le , Toan Tran , Nhat Ho , Dinh Phung

* 23 pages 

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High-Quality Pluralistic Image Completion via Code Shared VQGAN



Chuanxia Zheng , Guoxian Song , Tat-Jen Cham , Jianfei Cai , Dinh Phung , Linjie Luo

* 12 pages, 15 figures 

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Global-Local Regularization Via Distributional Robustness



Hoang Phan , Trung Le , Trung Phung , Tuan Anh Bui , Nhat Ho , Dinh Phung

* 29 pages, 7 figures 

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A Unified Wasserstein Distributional Robustness Framework for Adversarial Training



Tuan Anh Bui , Trung Le , Quan Tran , He Zhao , Dinh Phung


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Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics



Tam Le , Truyen Nguyen , Dinh Phung , Viet Anh Nguyen

* AISTATS 2022 

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Two-view Graph Neural Networks for Knowledge Graph Completion



Vinh Tong , Dai Quoc Nguyen , Dinh Phung , Dat Quoc Nguyen


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On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources



Trung Phung , Trung Le , Long Vuong , Toan Tran , Anh Tran , Hung Bui , Dinh Phung

* NeurIPS 2021 

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Model Fusion of Heterogeneous Neural Networks via Cross-Layer Alignment



Dang Nguyen , Khai Nguyen , Dinh Phung , Hung Bui , Nhat Ho

* 23 pages, 5 figures, 14 tables 

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On Label Shift in Domain Adaptation via Wasserstein Distance



Trung Le , Dat Do , Tuan Nguyen , Huy Nguyen , Hung Bui , Nhat Ho , Dinh Phung

* 35 pages, 7 figures, 6 tables 

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Exploiting Domain-Specific Features to Enhance Domain Generalization



Manh-Ha Bui , Toan Tran , Anh Tuan Tran , Dinh Phung

* 25 pages, 6 tables, 11 figures, published at Advances in Neural Information Processing Systems (NeurIPS), 2021 

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