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Estimating Soft Labels for Out-of-Domain Intent Detection

Estimating Soft Labels for Out-of-Domain Intent Detection

10 November 2022
Hao Lang
Yinhe Zheng
Jian Sun
Feiling Huang
Luo Si
Yongbin Li
ArXivPDFHTML

Papers citing "Estimating Soft Labels for Out-of-Domain Intent Detection"

15 / 15 papers shown
Title
LANID: LLM-assisted New Intent Discovery
LANID: LLM-assisted New Intent Discovery
Lu Fan
Jiashu Pu
Rongsheng Zhang
Xiao-Ming Wu
55
1
0
31 Mar 2025
Out-of-Distribution Detection through Soft Clustering with Non-Negative
  Kernel Regression
Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression
Aryan Gulati
Xingjian Dong
Carlos Hurtado
Sarath Shekkizhar
Swabha Swayamdipta
Antonio Ortega
OODD
14
2
0
18 Jul 2024
Exploring Large Language Models for Multi-Modal Out-of-Distribution
  Detection
Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection
Yi Dai
Hao Lang
Kaisheng Zeng
Fei Huang
Yongbin Li
OODD
13
10
0
12 Oct 2023
Unified Uncertainty Calibration
Unified Uncertainty Calibration
Kamalika Chaudhuri
David Lopez-Paz
19
0
0
02 Oct 2023
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
14
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
17
5
0
11 May 2023
Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts
Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts
Hao Lang
Yinhe Zheng
Binyuan Hui
Fei Huang
Yongbin Li
11
4
0
05 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
11
19
0
05 May 2023
Proton: Probing Schema Linking Information from Pre-trained Language
  Models for Text-to-SQL Parsing
Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing
Lihan Wang
Bowen Qin
Binyuan Hui
Bowen Li
Min Yang
Bailin Wang
Binhua Li
Fei Huang
Luo Si
Yongbin Li
64
40
0
28 Jun 2022
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
Xuefeng Du
Zhaoning Wang
Mu Cai
Yixuan Li
OODD
174
220
0
02 Feb 2022
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
158
401
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
84
82
0
11 Jan 2021
Efficient Intent Detection with Dual Sentence Encoders
Efficient Intent Detection with Dual Sentence Encoders
I. Casanueva
Tadas Temvcinas
D. Gerz
Matthew Henderson
Ivan Vulić
VLM
167
444
0
10 Mar 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
268
5,635
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
247
9,042
0
06 Jun 2015
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