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11/22/2022
A Scope Sensitive and Result Attentive Model for Multi-Intent Spoken Language Understanding
Multi-Intent Spoken Language Understanding (SLU), a novel and more compl...
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06/24/2022
Capture Salient Historical Information: A Fast and Accurate Non-Autoregressive Model for Multi-turn Spoken Language Understanding
Spoken Language Understanding (SLU), a core component of the task-orient...
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08/16/2021
An Effective Non-Autoregressive Model for Spoken Language Understanding
Spoken Language Understanding (SLU), a core component of the task-orient...
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03/10/2021
A Result based Portable Framework for Spoken Language Understanding
Spoken language understanding (SLU), which is a core component of the ta...
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12/01/2020
A Parallel Direct Eigensolver for Sequences of Hermitian Eigenvalue Problems with No Tridiagonalization
In this paper, a Parallel Direct Eigensolver for Sequences of Hermitian ...
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02/24/2019
Training GANs with Centripetal Acceleration
Training generative adversarial networks (GANs) often suffers from cycli...
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04/29/2018
A linear time algorithm for multiscale quantile simulation
Change-point problems have appeared in a great many applications for exa...
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01/23/2018
On the complexity of convex inertial proximal algorithms
The inertial proximal gradient algorithm is efficient for the composite ...
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09/12/2017
A convergence frame for inexact nonconvex and nonsmooth algorithms and its applications to several iterations
In this paper, we consider the convergence of an abstract inexact noncon...
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09/01/2017