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Improving End-to-End Speech-to-Intent Classification with Reptile

Improving End-to-End Speech-to-Intent Classification with Reptile

5 August 2020
Yusheng Tian
P. Gorinski
    VLM
ArXivPDFHTML

Papers citing "Improving End-to-End Speech-to-Intent Classification with Reptile"

4 / 4 papers shown
Title
Speech Model Pre-training for End-to-End Spoken Language Understanding
Speech Model Pre-training for End-to-End Spoken Language Understanding
Loren Lugosch
Mirco Ravanelli
Patrick Ignoto
Vikrant Singh Tomar
Yoshua Bengio
SyDa
AuLLM
60
349
0
07 Apr 2019
From Audio to Semantics: Approaches to end-to-end spoken language
  understanding
From Audio to Semantics: Approaches to end-to-end spoken language understanding
Parisa Haghani
A. Narayanan
M. Bacchiani
Galen Chuang
Neeraj Gaur
Pedro J. Moreno
Rohit Prabhavalkar
Zhongdi Qu
Austin Waters
39
150
0
24 Sep 2018
Meta-Learning for Low-Resource Neural Machine Translation
Meta-Learning for Low-Resource Neural Machine Translation
Jiatao Gu
Yong Wang
Yun Chen
Kyunghyun Cho
Victor O.K. Li
72
342
0
25 Aug 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
759
11,793
0
09 Mar 2017
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