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STNDT: Modeling Neural Population Activity with a Spatiotemporal Transformer



Trung Le , Eli Shlizerman


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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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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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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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Supporting Massive DLRM Inference Through Software Defined Memory



Ehsan K. Ardestani , Changkyu Kim , Seung Jae Lee , Luoshang Pan , Valmiki Rampersad , Jens Axboe , Banit Agrawal , Fuxun Yu , Ansha Yu , Trung Le , Hector Yuen , Shishir Juluri , Akshat Nanda , Manoj Wodekar , Dheevatsa Mudigere , Krishnakumar Nair , Maxim Naumov , Chris Peterson , Mikhail Smelyanskiy , Vijay Rao

* 14 pages, 5 figures 

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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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ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection



Van-Anh Nguyen , Dai Quoc Nguyen , Van Nguyen , Trung Le , Quan Hung Tran , Dinh Phung

* The first two authors contributed equally. The code will be available soon at: https://github.com/daiquocnguyen/GNN-ReGVD 

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SyntheticFur dataset for neural rendering



Trung Le , Ryan Poplin , Fred Bertsch , Andeep Singh Toor , Margaret L. Oh


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