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Detecting out-of-distribution (OOD) instances is crucial for NLP models in practical applications.
Scaling out-of-distribution detection for real-world settings
Dan Hendrycks, Steven Basart, Mantas Mazeika, Mohammadreza Mostajabi, Jacob Steinhardt, and Dawn Song. 2019 · 1911
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Your classifier is secretly an energy based model and you should treat it like one
Will Grathwohl, Kuan-Chieh Wang, Jörn-Henrik Jacobsen, David Duvenaud, Mohammad Norouzi, and Kevin Swersky. 2019 · 1912
Earlier work this paper cites.
Ix. on the problem of the most efficient tests of statistical hypotheses
Jerzy Neyman and Egon Sharpe Pearson. 1933 · 1933
Earlier work this paper cites.
Novelty detection and neural network validation
Christopher M Bishop. 1994 · 1994
Earlier work this paper cites.
Lof: identifying density-based local outliers
Markus M Breunig, Hans-Peter Kriegel, Raymond T Ng, and Jörg Sander. 2000 · 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.
Auto-encoding variational bayes
Diederik P Kingma and Max Welling. 2013 · 2013
Earlier work this paper cites.
Aligning books and movies: Towards story-like visual explanations by watching movies and reading books
Yukun Zhu, Ryan Kiros, Rich Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, and Sanja Fidler. 2015 · 2015
Earlier work this paper cites.
A baseline for detecting misclassified and out-of-distribution examples in neural networks
Dan Hendrycks and Kevin Gimpel. 2016 · 2016
Earlier work this paper cites.
Enhancing the reliability of out-of-distribution image detection in neural networks
Shiyu Liang, Yixuan Li, and Rayadurgam Srikant. 2017 · 2017
Earlier work this paper cites.
Alice Coucke, Alaa Saade, Adrien Ball, Théodore Bluche, Alexandre Caulier, David Leroy, Clément Doumouro, Thibault Gisselbrecht, Francesco Caltagirone, Thibaut Lavril, et al. 2018 · 2018
Earlier work this paper cites.
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.
Out-of-domain detection based on generative adversarial network
Seonghan Ryu, Sangjun Koo, Hwanjo Yu, and Gary Geunbae Lee. 2018 · 2018
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin Ming-Wei Chang Kenton and Lee Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
An evaluation dataset for intent classification and out-of-scope prediction
Stefan Larson, Anish Mahendran, Joseph J Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K Kummerfeld, Kevin Leach, Michael A Laurenzano, Lingjia Tang, et al. 2019 · 2019
Cited alongside, same era.
Likelihood ratios for out-of-distribution detection
Jie Ren, Peter J Liu, Emily Fertig, Jasper Snoek, Ryan Poplin, Mark Depristo, Joshua Dillon, and Balaji Lakshminarayanan. 2019 · 2019
Cited alongside, same era.
Continual training of language models for few-shot learning
Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, and Bing Liu. 2022 · 2022
Later among the works it cites.
How to exploit hyperspherical embeddings for out-of-distribution detection?
Yifei Ming, Yiyou Sun, Ousmane Dia, and Yixuan Li. 2022 · 2022
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Out-of-distribution detection with deep nearest neighbors
Yiyou Sun, Yifei Ming, Xiaojin Zhu, and Yixuan Li. 2022 · 2022
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Cmg: A class-mixed generation approach to out-of-distribution detection
Mengyu Wang, Yijia Shao, Haowei Lin, Wenpeng Hu, and Bing Liu. 2022 · 2022
Later among the works it cites.
Openood: Benchmarking generalized out-of-distribution detection
Jingkang Yang, Pengyun Wang, Dejian Zou, Zitang Zhou, Kunyuan Ding, Wenxuan Peng, Haoqi Wang, Guangyao Chen, Bo Li, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, Dan Hendrycks, Yixuan Li, and Ziwei Liu. 2022 · 2022
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Likelihood ratios and generative classifiers for unsupervised out-of-domain detection in task oriented dialog
Varun Gangal, Abhinav Arora, Arash Einolghozati, and Sonal Gupta. 2020 · 2020
Cited alongside, same era.
Energy-based out-of-distribution detection
Weitang Liu, Xiaoyun Wang, John Owens, and Yixuan Li. 2020 · 2020
Cited alongside, same era.
Likelihood regret: An out-of-distribution detection score for variational auto-encoder
Zhisheng Xiao, Qing Yan, and Yali Amit. 2020 · 2020
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Types of out-of-distribution texts and how to detect them
Udit Arora, William Huang, and He He. 2021 · 2021
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Natural language processing with deep learning for medical adverse event detection from free-text medical narratives: A case study of detecting total hip replacement dislocation
Alireza Borjali, Martin Magnéli, David Shin, Henrik Malchau, Orhun K Muratoglu, and Kartik M Varadarajan. 2021 · 2021
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Unsupervised out-of-domain detection via pre-trained transformers
Keyang Xu, Tongzheng Ren, Shikun Zhang, Yihao Feng, and Caiming Xiong. 2021 · 2021
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Falsehoods that ml researchers believe about ood detection
Andi Zhang and Damon Wischik. 2022 · 2022
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Sishuo Chen, Wenkai Yang, Xiaohan Bi, and Xu Sun. 2023 · 2023
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Continual pre-training of language models
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Hybrid energy based model in the feature space for out-of-distribution detection
Marc Lafon, Elias Ramzi, Clément Rambour, and Nicolas Thome. 2023 · 2023
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A survey on out-of-distribution detection in nlp
Hao Lang, Yinhe Zheng, Yixuan Li, Jian Sun, Fei Huang, and Yongbin Li. 2023 · 2023
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Openood v1. 5: Enhanced benchmark for out-of-distribution detection
Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, et al. 2023 · 2023
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