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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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Temporal Predictive Coding For Model-Based Planning In Latent Space



Tung Nguyen , Rui Shu , Tuan Pham , Hung Bui , Stefano Ermon

* International Conference on Machine Learning 

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Improving Bayesian Inference in Deep Neural Networks with Variational Structured Dropout



Son Nguyen , Duong Nguyen , Khai Nguyen , Nhat Ho , Khoat Than , Hung Bui

* 30 pages, 5 figures 

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On Robust Optimal Transport: Computational Complexity, Low-rank Approximation, and Barycenter Computation



Khang Le , Huy Nguyen , Quang Nguyen , Nhat Ho , Tung Pham , Hung Bui


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BoMb-OT: On Batch of Mini-batches Optimal Transport



Khai Nguyen , Quoc Nguyen , Nhat Ho , Tung Pham , Hung Bui , Dinh Phung , Trung Le

* 36 pages, 18 figures 

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Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior



Anh Tong , Toan Tran , Hung Bui , Jaesik Choi

* AAAI 2021 

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Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein



Khai Nguyen , Son Nguyen , Nhat Ho , Tung Pham , Hung Bui

* 39 pages, 19 figures 

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Vec2Face: Unveil Human Faces from their Blackbox Features in Face Recognition



Chi Nhan Duong , Thanh-Dat Truong , Kha Gia Quach , Hung Bui , Kaushik Roy , Khoa Luu

* CVPR 2020 

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