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Trung Le

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An Information-Theoretic and Contrastive Learning-based Approach for Identifying Code Statements Causing Software Vulnerability

Sep 20, 2022
Van Nguyen, Trung Le, Chakkrit Tantithamthavorn, John Grundy, Hung Nguyen, Seyit Camtepe, Paul Quirk, Dinh Phung

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Cross Project Software Vulnerability Detection via Domain Adaptation and Max-Margin Principle

Sep 19, 2022
Van Nguyen, Trung Le, Chakkrit Tantithamthavorn, John Grundy, Hung Nguyen, Dinh Phung

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An Additive Instance-Wise Approach to Multi-class Model Interpretation

Jul 07, 2022
Vy Vo, Van Nguyen, Trung Le, Quan Hung Tran, Gholamreza Haffari, Seyit Camtepe, Dinh Phung

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STNDT: Modeling Neural Population Activity with a Spatiotemporal Transformer

Jun 09, 2022
Trung Le, Eli Shlizerman

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Stochastic Multiple Target Sampling Gradient Descent

Jun 04, 2022
Hoang Phan, Ngoc Tran, Trung Le, Toan Tran, Nhat Ho, Dinh Phung

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Global-Local Regularization Via Distributional Robustness

Mar 01, 2022
Hoang Phan, Trung Le, Trung Phung, Tuan Anh Bui, Nhat Ho, Dinh Phung

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A Unified Wasserstein Distributional Robustness Framework for Adversarial Training

Feb 27, 2022
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

Nov 27, 2021
Trung Phung, Trung Le, Long Vuong, Toan Tran, Anh Tran, Hung Bui, Dinh Phung

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Supporting Massive DLRM Inference Through Software Defined Memory

Nov 08, 2021
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

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On Label Shift in Domain Adaptation via Wasserstein Distance

Oct 29, 2021
Trung Le, Dat Do, Tuan Nguyen, Huy Nguyen, Hung Bui, Nhat Ho, Dinh Phung

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