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EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models


Dec 22, 2022
Xinlin Li, Mariana Parazeres, Adam Oberman, Alireza Ghaffari, Masoud Asgharian, Vahid Partovi Nia

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DenseShift: Towards Accurate and Transferable Low-Bit Shift Network


Aug 20, 2022
Xinlin Li, Bang Liu, Rui Heng Yang, Vanessa Courville, Chao Xing, Vahid Partovi Nia

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Low-bit Shift Network for End-to-End Spoken Language Understanding


Jul 15, 2022
Anderson R. Avila, Khalil Bibi, Rui Heng Yang, Xinlin Li, Chao Xing, Xiao Chen

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* Accepted at INTERSPEECH 2022 

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Deep Neural Networks pruning via the Structured Perspective Regularization


Jun 28, 2022
Matteo Cacciola, Antonio Frangioni, Xinlin Li, Andrea Lodi

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$S^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks


Jul 07, 2021
Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia

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Tensor train decompositions on recurrent networks


Jun 09, 2020
Alejandro Murua, Ramchalam Ramakrishnan, Xinlin Li, Rui Heng Yang, Vahid Partovi Nia

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Clustering Causal Additive Noise Models


Jun 08, 2020
Vahid Partovi Nia, Xinlin Li, Masoud Asgharian, Shoubo Hu, Zhitang Chen, Yanhui Geng

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Importance of Data Loading Pipeline in Training Deep Neural Networks


Apr 21, 2020
Mahdi Zolnouri, Xinlin Li, Vahid Partovi Nia

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Random Bias Initialization Improving Binary Neural Network Training


Sep 30, 2019
Xinlin Li, Vahid Partovi Nia

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