Fetching the paper…
Reading the bibliography…
Detecting out-of-domain (OOD) intents from user queries is essential for avoiding wrong operations in task-oriented dialogue systems.
Likelihood ratios for out-of-distribution detection
Jie Ren, Peter J. Liu, Emily Fertig, Jasper Snoek, Ryan Poplin, Mark A. DePristo, Joshua V. Dillon, and Balaji Lakshminarayanan. 2019 · 1906
Earlier work this paper cites.
Long short-term memory
S. Hochreiter and J. Schmidhuber. 1997 · 1997
Earlier work this paper cites.
Lof: identifying density-based local outliers
Markus M Breunig, Hans-Peter Kriegel, Raymond T Ng, and Jörg Sander. 2000a · 2000
Earlier work this paper cites.
Lof: identifying density-based local outliers
Markus M Breunig, Hans-Peter Kriegel, Raymond T Ng, and Jörg Sander. 2000b · 2000
Earlier work this paper cites.
Efficient intent detection with dual sentence encoders
Iñigo Casanueva, Tadas Temčinas, Daniela Gerz, Matthew Henderson, and Ivan Vulić. 2020 · 2003
Earlier work this paper cites.
Supervised contrastive learning
Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, A. Maschinot, Ce Liu, and Dilip Krishnan. 2020 · 2004
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
Earlier work this paper cites.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014 · 2014
Earlier work this paper cites.
Short text clustering via convolutional neural networks
Jiaming Xu, Peng Wang, Guanhua Tian, Bo Xu, Jun Zhao, Fangyuan Wang, and Hongwei Hao. 2015 · 2015
Earlier work this paper cites.
Towards open set deep networks
Abhijit Bendale and Terrance E. Boult. 2016 · 2016
Earlier work this paper cites.
Breaking the closed world assumption in text classification
Geli Fei and Bing Liu. 2016 · 2016
Cited alongside, same era.
Satoshi Akasaki and Nobuhiro Kaji. 2017 · 2017
Cited alongside, same era.
A baseline for detecting misclassified and out-of-distribution examples in neural networks
Dan Hendrycks and Kevin Gimpel. 2017 · 2017
Cited alongside, same era.
Doc: Deep open classification of text documents
Lei Shu, Hu Xu, and Bing Liu. 2017 · 2017
Cited alongside, same era.
Joo-Kyung Kim and Young-Bum Kim. 2018 · 2018
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
J. Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Later among the works it cites.
An evaluation dataset for intent classification and out-of-scope prediction
Stefan Larson, Anish Mahendran, Joseph Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael Laurenzano, Lingjia Tang, and Jason Mars. 2019 · 2019
Later among the works it cites.
Deep unknown intent detection with margin loss
Ting-En Lin and Hua Xu. 2019 · 2019
Later among the works it cites.
A deep generative distance-based classifier for out-of-domain detection with mahalanobis space
Hong Xu, Keqing He, Yuanmeng Yan, Sihong Liu, Zijun Liu, and Weiran Xu. 2020 · 2020
Later among the works it cites.
Out-of-domain detection for natural language understanding in dialog systems
Yinhe Zheng, Guanyi Chen, and Minlie Huang. 2020 · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
A simple unified framework for detecting out-of-distribution samples and adversarial attacks
Kimin Lee, Kibok Lee, Honglak Lee, and Jinwoo Shin. 2018 · 2018
Cited alongside, same era.
From eliza to xiaoice: challenges and opportunities with social chatbots
H. Shum, X. He, and Di Li. 2018 · 2018
Cited alongside, same era.
Survey on virtual assistant: Google assistant, siri, cortana, alexa
Amrita S Tulshan and Sudhir Namdeorao Dhage. 2018 · 2018
Cited alongside, same era.
Cosface: Large margin cosine loss for deep face recognition
Hao Wang, Yitong Wang, Zheng Zhou, Xing Ji, Dihong Gong, Jingchao Zhou, Zhifeng Li, and Wei Liu. 2018 · 2018
Cited alongside, same era.
Modeling discriminative representations for out-of-domain detection with supervised contrastive learning
Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Zijun Liu, Yanan Wu, Hong Xu, Huixing Jiang, and Weiran Xu. 2021a
Cited in the paper.
Energy-based unknown intent detection with data manipulation
Yawen Ouyang, Jiasheng Ye, Yu Chen, Xinyu Dai, Shujian Huang, and Jiajun Chen. 2021 · 2021
Later among the works it cites.
Adversarial self-supervised learning for out-of-domain detection
Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Hong Xu, and Weiran Xu. 2021b · 2021
Later among the works it cites.
Deep open intent classification with adaptive decision boundary
Hanlei Zhang, Hua Xu, and Ting-En Lin. 2021 · 2021
Later among the works it cites.
KNN-contrastive learning for out-of-domain intent classification
Yunhua Zhou, Peiju Liu, and Xipeng Qiu. 2022 · 2022
Closest in time.