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Learning to Augment for Casual User Recommendation


Apr 02, 2022
Jianling Wang, Ya Le, Bo Chang, Yuyan Wang, Ed H. Chi, Minmin Chen

* Accepted by TheWebConf 2022 

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Recency Dropout for Recurrent Recommender Systems


Jan 26, 2022
Bo Chang, Can Xu, Matthieu Lê, Jingchen Feng, Ya Le, Sriraj Badam, Ed Chi, Minmin Chen


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CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks


Oct 05, 2020
Jiaqi Ma, Bo Chang, Xuefei Zhang, Qiaozhu Mei


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Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows


Feb 24, 2020
Ruizhi Deng, Bo Chang, Marcus A. Brubaker, Greg Mori, Andreas Lehrmann


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Variational Hyper RNN for Sequence Modeling


Feb 24, 2020
Ruizhi Deng, Yanshuai Cao, Bo Chang, Leonid Sigal, Greg Mori, Marcus A. Brubaker


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Point Process Flows


Oct 31, 2019
Nazanin Mehrasa, Ruizhi Deng, Mohamed Osama Ahmed, Bo Chang, Jiawei He, Thibaut Durand, Marcus Brubaker, Greg Mori


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AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks


Feb 26, 2019
Bo Chang, Minmin Chen, Eldad Haber, Ed H. Chi

* Published as a conference paper at ICLR 2019 

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Dynamical Isometry and a Mean Field Theory of LSTMs and GRUs


Jan 25, 2019
Dar Gilboa, Bo Chang, Minmin Chen, Greg Yang, Samuel S. Schoenholz, Ed H. Chi, Jeffrey Pennington


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Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos


Oct 01, 2018
Lili Meng, Bo Zhao, Bo Chang, Gao Huang, Frederick Tung, Leonid Sigal

* submitted to ICLR2019. arXiv admin note: text overlap with arXiv:1703.07814, arXiv:1406.6247 by other authors 

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