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On the Algorithmic Stability and Generalization of Adaptive Optimization Methods


Nov 08, 2022
Han Nguyen, Hai Pham, Sashank J. Reddi, Barnab谩s P贸czos

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* 21 pages including appendix 

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Graph2Vid: Flow graph to Video Grounding forWeakly-supervised Multi-Step Localization


Oct 10, 2022
Nikita Dvornik, Isma Hadji, Hai Pham, Dhaivat Bhatt, Brais Martinez, Afsaneh Fazly, Allan D. Jepson

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* ECCV 2022 
* ECCV'22, oral 

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Understanding Long Documents with Different Position-Aware Attentions


Aug 17, 2022
Hai Pham, Guoxin Wang, Yijuan Lu, Dinei Florencio, Cha Zhang

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StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer


Apr 12, 2021
Yiwei Lyu, Paul Pu Liang, Hai Pham, Eduard Hovy, Barnab谩s P贸czos, Ruslan Salakhutdinov, Louis-Philippe Morency

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* NAACL 2021, code available at https://github.com/lvyiwei1/StylePTB/ 

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Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes


Nov 17, 2020
Quang Minh Hoang, Trong Nghia Hoang, Hai Pham, David P. Woodruff

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Robust Handwriting Recognition with Limited and Noisy Data


Aug 18, 2020
Hai Pham, Amrith Setlur, Saket Dingliwal, Tzu-Hsiang Lin, Barnabas Poczos, Kang Huang, Zhuo Li, Jae Lim, Collin McCormack, Tam Vu

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* icfhr2020 

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Adaptive Sampling Distributed Stochastic Variance Reduced Gradient for Heterogeneous Distributed Datasets


Feb 20, 2020
Ilqar Ramazanli, Han Nguyen, Hai Pham, Sashank Reddi, Barnabas Poczos

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Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between Modalities


Dec 19, 2018
Hai Pham, Paul Pu Liang, Thomas Manzini, Louis-Philippe Morency, Barnabas Poczos

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* AAAI 2019 

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Seq2Seq2Sentiment: Multimodal Sequence to Sequence Models for Sentiment Analysis


Aug 06, 2018
Hai Pham, Thomas Manzini, Paul Pu Liang, Barnabas Poczos

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* 8 pages of content, 11 pages total, 2 figures. Published as a workshop paper at ACL 2018, Proceedings of Grand Challenge and Workshop on Human Multimodal Language (Challenge-HML). 2018 

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