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Xinlin Li

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BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models

Jun 29, 2023
Phuoc-Hoan Charles Le, Xinlin Li

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Mathematical Challenges in Deep Learning

Mar 24, 2023
Vahid Partovi Nia, Guojun Zhang, Ivan Kobyzev, Michael R. Metel, Xinlin Li, Ke Sun, Sobhan Hemati, Masoud Asgharian, Linglong Kong, Wulong Liu, Boxing Chen

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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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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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