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Out-of-domain (OOD) detection for low-resource text classification is a realistic but understudied task.
One-shot relational learning for knowledge graphs
Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, and William Yang Wang. 2018 · 1990
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Estimating the support of a high-dimensional distribution
Bernhard Schölkopf, John C. Platt, John C. Shawe-Taylor, Alex J. Smola, and Robert C. Williamson. 2001 · 2001
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Co-clustering based classification for out-of-domain documents
Wenyuan Dai, Gui-Rong Xue, Qiang Yang, and Yong Yu. 2007 · 2007
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Out-of-domain utterance detection using classification confidences of multiple topics
I. Lane, T. Kawahara, T. Matsui, and S. Nakamura. 2007 · 2007
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One-class document classification via neural networks
Larry Manevitz and Malik Yousef. 2007 · 2007
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Learning feed-forward one-shot learners
Luca Bertinetto, João F. Henriques, Jack Valmadre, Philip H. S. Torr, and Andrea Vedaldi. 2016 · 2016
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Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering
Ruining He and Julian McAuley. 2016 · 2016
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Matching networks for one shot learning
Oriol Vinyals, Charles Blundell, Timothy Lillicrap, Koray Kavukcuoglu, and Daan Wierstra. 2016 · 2016
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Model-agnostic meta-learning for fast adaptation of deep networks
Chelsea Finn, Pieter Abbeel, and Sergey Levine. 2017 · 2017
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Optimization as a model for few-shot learning
Sachin Ravi and Hugo Larochelle · 2017
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Neural sentence embedding using only in-domain sentences for out-of-domain sentence detection in dialog systems
Seonghan Ryu, Seokhwan Kim, Junhwi Choi, Hwanjo Yu, and Gary Lee. 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.
Prototypical networks for few-shot learning
Jake Snell, Kevin Swersky, and Richard Zemel. 2017 · 2017
Cited alongside, same era.
Fewrel: A large-scale supervised few-shot relation classification dataset with state-of-the-art evaluation
Xu Han, Hao Zhu, Pengfei Yu, Ziyun Wang, Yuan Yao, Zhiyuan Liu, and Maosong Sun. 2018 · 2018
Joint learning of domain classification and out-of-domain detection with dynamic class weighting for satisficing false acceptance rates
Joo-Kyung Kim and Young-Bum Kim. 2018 · 2018
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All work and no play?
Q. Vera Liao, Mas-ud Hussain, Praveen Chandar, Matthew Davis, Yasaman Khazaeni, Marco Patricio Crasso, Dakuo Wang, Michael Muller, N. Sadat Shami, and Werner Geyer. 2018 · 2018
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Deep one-class classification
Lukas Ruff, Robert Vandermeulen, Nico Goernitz, Lucas Deecke, Shoaib Ahmed Siddiqui, Alexander Binder, Emmanuel Müller, and Marius Kloft. 2018 · 2018
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Out-of-domain detection based on generative adversarial network
Seonghan Ryu, Sangjun Koo, Hwanjo Yu, and Gary Geunbae Lee. 2018 · 2018
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Face value? exploring the effects of embodiment for a group facilitation agent
Ameneh Shamekhi, Q Vera Liao, Dakuo Wang, Rachel KE Bellamy, and Thomas Erickson. 2018 · 2018
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Cited alongside, same era.
Attentive task-agnostic meta-learning for few-shot text classification
Xiang Jiang, Mohammad Havaei, Gabriel Chartrand, Hassan Chouaib, Thomas Vincent, Andrew Jesson, Nicolas Chapados, and Stan Matwin. 2018 · 2018
Cited alongside, same era.
Diverse few-shot text classification with multiple metrics
Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, and Bowen Zhou. 2018 · 2018
Later among the works it cites.
Imposing label-relational inductive bias for extremely fine-grained entity typing
Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, and William Yang Wang. 2019 · 2019
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