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Leveraging deep learning models for Anomaly Detection (AD) has seen widespread use in recent years due to superior performances over traditional methods.
Camembert: a tasty french language model
Louis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez, Yoann Dupont, Laurent Romary, ’Eric de la Clergerie, Djamé Seddah, and Benoît Sagot. 2020 · 1911
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Wietse de Vries, Andreas van Cranenburgh, Arianna Bisazza, Tommaso Caselli, Gertjan van Noord, and Malvina Nissim. 2019 · 1912
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Identification of outliers , volume 11
Douglas M Hawkins. 1980 · 1980
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Wordnet: A lexical database for english
George A. Miller. 1995 · 1995
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Neural fraud detection in credit card operations
J. Dorronsoro, Francisco Ginel, C. Sanchez, and C. Cruz. 1997 · 1997
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Outlier detection using replicator neural networks
Simon Hawkins, Hongxing He, Graham J. Williams, and Rohan A. Baxter. 2002 · 2000
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One-class svms for document classification
L. Manevitz and M. Yousef. 2001 · 2001
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Latent dirichlet allocation
David M. Blei, Andrew Y. Ng, and Michael I. Jordan. 2003 · 2003
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Electra: Pre-training text encoders as discriminators rather than generators
Kevin Clark, Minh-Thang Luong, Quoc V. Le, and Christopher D. Manning. 2020 · 2003
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One-class document classification via neural networks
L. Manevitz and M. Yousef. 2007 · 2007
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Isolation forest
Fei Tony Liu, Kai Ming Ting, and Zhi-Hua Zhou. 2008 · 2008
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Anomaly detection: A survey
Varun Chandola, Arindam Banerjee, and Vipin Kumar. 2009 · 2009
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The mnist database of handwritten digit images for machine learning research [best of the web]
L. Deng. 2012 · 2012
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Contextual anomaly detection in text data
Amogh Mahapatra, Nisheeth Srivastava, and Jaideep Srivastava. 2012 · 2012
Cited alongside, same era.
Character-level convolutional networks for text classification
Xiang Zhang, Junbo Jake Zhao, and Yann LeCun. 2015 · 2012
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Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Gregory S. Corrado, and Jeffrey Dean. 2013 · 2013
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014 · 2014
Cited alongside, same era.
Anomaly detection using autoencoders with nonlinear dimensionality reduction
Unsupervised anomaly detection with generative adversarial networks to guide marker discovery
Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, Ursula Schmidt-Erfurth, and Georg Langs. 2017 · 2017
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Deep anomaly detection using geometric transformations
Izhak Golan and Ran El-Yaniv. 2018 · 2018
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Deep contextualized word representations
Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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Mayu Sakurada and Takehisa Yairi. 2014 · 2014
Cited alongside, same era.
Outlier analysis
Charu C Aggarwal. 2015 · 2015
Cited alongside, same era.
A survey of data mining and machine learning methods for cyber security intrusion detection
Lalu Banoth, Mnr Teja, M Saicharan, and Naveen Chandra. 2017 · 2017
Cited alongside, same era.
Enriching word vectors with subword information
Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2017 · 2017
Cited alongside, same era.
Outlier detection with autoencoder ensembles
Jinghui Chen, Saket Sathe, Charu C. Aggarwal, and Deepak S. Turaga. 2017 · 2017
Cited alongside, same era.
Bag of tricks for efficient text classification
Armand Joulin, Edouard Grave, Piotr Bojanowski, and Tomas Mikolov. 2017 · 2017
Cited alongside, same era.
Outlier detection for text data : An extended version
Ramakrishnan Kannan, Hyenkyun Woo, Charu C. Aggarwal, and Haesun Park. 2017 · 2017
Cited alongside, same era.
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Scibert: A pretrained language model for scientific text
Iz Beltagy, Kyle Lo, and Arman Cohan. 2019 · 2019
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Anomaly detections for manufacturing systems based on sensor data—insights into two challenging real-world production settings
Klaus Kammerer, Burkhard Hoppenstedt, Rüdiger Pryss, Steffen Stökler, Johannes Allgaier, and M. Reichert. 2019 · 2019
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Albert: A lite bert for self-supervised learning of language representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2019 · 2019
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2019 · 2019
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Language models are unsupervised multitask learners
A. Radford, Jeffrey Wu, R. Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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Self-attentive, multi-context one-class classification for unsupervised anomaly detection on text
Lukas Ruff, Yury Zemlyanskiy, Robert Vandermeulen, Thomas Schnake, and Marius Kloft. 2019 · 2019
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Effective end-to-end unsupervised outlier detection via inlier priority of discriminative network
S. Wang, Y. Zeng, Xinwang Liu, En Zhu, Jianping Yin, Chuanfu Xu, and M. Kloft. 2019 · 2019
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Biobert: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, D. Kim, Sunkyu Kim, Chan Ho So, and Jaewoo Kang. 2020 · 2020
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