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Tao Luo

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A priori Estimates for Deep Residual Network in Continuous-time Reinforcement Learning

Mar 07, 2024
Shuyu Yin, Qixuan Zhou, Fei Wen, Tao Luo

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On the dynamics of three-layer neural networks: initial condensation

Feb 27, 2024
Zheng-An Chen, Tao Luo

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A prior Estimates for Deep Residual Network in Continuous-time Reinforcement Learning

Feb 24, 2024
Shuyu Yin, Qixuan Zhou, Fei Wen, Tao Luo

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Importance-Aware Image Segmentation-based Semantic Communication for Autonomous Driving

Jan 16, 2024
Jie Lv, Haonan Tong, Qiang Pan, Zhilong Zhang, Xinxin He, Tao Luo, Changchuan Yin

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VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering

Dec 19, 2023
Chun-Mei Feng, Yang Bai, Tao Luo, Zhen Li, Salman Khan, Wangmeng Zuo, Xinxing Xu, Rick Siow Mong Goh, Yong Liu

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Ultra-Long Sequence Distributed Transformer

Nov 08, 2023
Xiao Wang, Isaac Lyngaas, Aristeidis Tsaris, Peng Chen, Sajal Dash, Mayanka Chandra Shekar, Tao Luo, Hong-Jun Yoon, Mohamed Wahib, John Gouley

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Structure and Gradient Dynamics Near Global Minima of Two-layer Neural Networks

Sep 01, 2023
Leyang Zhang, Yaoyu Zhang, Tao Luo

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Exploring Winograd Convolution for Cost-effective Neural Network Fault Tolerance

Aug 16, 2023
Xinghua Xue, Cheng Liu, Bo Liu, Haitong Huang, Ying Wang, Tao Luo, Lei Zhang, Huawei Li, Xiaowei Li

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Optimistic Estimate Uncovers the Potential of Nonlinear Models

Jul 18, 2023
Yaoyu Zhang, Zhongwang Zhang, Leyang Zhang, Zhiwei Bai, Tao Luo, Zhi-Qin John Xu

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