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Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts

Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts

5 May 2023
Hao Lang
Yinhe Zheng
Binyuan Hui
Fei Huang
Yongbin Li
ArXivPDFHTML

Papers citing "Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts"

11 / 11 papers shown
Title
Ño' Matters: Out-of-Distribution Detection in Multimodality Long
  Dialogue
Ño' Matters: Out-of-Distribution Detection in Multimodality Long Dialogue
Rena Gao
Xuetong Wu
Siwen Luo
Caren Han
Feng Liu
OODD
47
0
0
31 Oct 2024
Long-Tailed Question Answering in an Open World
Long-Tailed Question Answering in an Open World
Yinpei Dai
Hao Lang
Yinhe Zheng
Fei Huang
Yongbin Li
VLM
29
7
0
11 May 2023
Domain Incremental Lifelong Learning in an Open World
Domain Incremental Lifelong Learning in an Open World
Yinpei Dai
Hao Lang
Yinhe Zheng
Yu Bowen
Fei Huang
Yongbin Li
CLL
35
5
0
11 May 2023
A Survey on Out-of-Distribution Detection in NLP
A Survey on Out-of-Distribution Detection in NLP
Hao Lang
Yinhe Zheng
Yixuan Li
Jian Sun
Feiling Huang
Yongbin Li
29
20
0
05 May 2023
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
185
879
0
21 Oct 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
S. Vaze
Kai Han
Andrea Vedaldi
Andrew Zisserman
BDL
169
405
0
12 Oct 2021
Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain
  Detection
Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection
Alexander Podolskiy
Dmitry Lipin
A. Bout
Ekaterina Artemova
Irina Piontkovskaya
OODD
95
82
0
11 Jan 2021
STAR: A Schema-Guided Dialog Dataset for Transfer Learning
STAR: A Schema-Guided Dialog Dataset for Transfer Learning
Johannes E. M. Mosig
Shikib Mehri
Thomas Kober
89
42
0
22 Oct 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,636
0
03 Jul 2012
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