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02/18/2022
CLSEG: Contrastive Learning of Story Ending Generation
Story Ending Generation (SEG) is a challenging task in natural language ...
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08/12/2021
Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations
Recent advances have enabled a single neural network to serve as an impl...
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03/10/2021
Partial Differential Equations is All You Need for Generating Neural Architectures – A Theory for Physical Artificial Intelligence Systems
In this work, we generalize the reaction-diffusion equation in statistic...
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12/01/2020
RaP-Net: A Region-wise and Point-wise Weighting Network to Extract Robust Keypoints for Indoor Localization
Image keypoint extraction is an important step for visual localization. ...
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05/31/2020
Synergetic Learning Systems: Concept, Architecture, and Algorithms
Drawing on the idea that brain development is a Darwinian process of “ev...
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02/16/2020
Two-dimensional Multi-fiber Spectrum Image Correction Based on Machine Learning Techniques
Due to limited size and imperfect of the optical components in a spectro...
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11/04/2019
A Spectral Nonlocal Block for Neural Networks
The nonlocal network is designed for capturing long-range spatial-tempor...
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07/24/2019
Stochastic trajectory prediction with social graph network
Pedestrian trajectory prediction is a challenging task because of the co...
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05/20/2018
A Vest of the Pseudoinverse Learning Algorithm
In this letter, we briefly review the basic scheme of the pseudoinverse ...
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04/17/2018
A Concatenated Residual Network for Image Deblurring
Deep convolutional neural network (CNN)-based restoration methods have r...
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11/27/2017
Pulsar Candidate Identification with Artificial Intelligence Techniques
Discovering pulsars is a significant and meaningful research topic in th...
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06/06/2017
Understanding and Eliminating the Large-kernel Effect in Blind Deconvolution
Blind deconvolution consists of recovering a clear version of an observe...
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10/01/2012