
DiffResNets for Fewshot Learning – an ODE Perspective
Interpreting deep neural networks from the ordinary differential equatio...
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Tightness and Equivalence of Semidefinite Relaxations for MIMO Detection
The multipleinput multipleoutput (MIMO) detection problem, a fundament...
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Interpolation between Residual and NonResidual Networks
Although ordinary differential equations (ODEs) provide insights for des...
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An accelerated method for computing stationary states of multicomponent phase field crystal model
Finding the stationary states of a free energy functional is an essentia...
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Efficient numerical methods for computing the stationary states of phase field crystal models
Finding the stationary states of a free energy functional is an importan...
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Lightweight Calibrator: a Separable Component for Unsupervised Domain Adaptation
Existing domain adaptation methods aim at learning features that can be ...
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Exploring Frequency Domain Interpretation of Convolutional Neural Networks
Many existing interpretation methods of convolutional neural networks (C...
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An efficient method for computing stationary states of phase field crystal models
Computing stationary states is an important topic for phase field crysta...
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Braininspired reverse adversarial examples
A human does not have to see all elephants to recognize an animal as an ...
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Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation
Convolutional neural networks have been widely deployed in various appli...
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WassersteinFisherRao Document Distance
As a fundamental problem of natural language processing, it is important...
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Whole Brain Susceptibility Mapping Using Harmonic Incompatibility Removal
Quantitative susceptibility mapping (QSM) uses the phase data in magneti...
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Chenglong Bao
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