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A curated list of awesome resources dedicated to One Class Classification.

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Awesome One Class Classification

A curated list of awesome resources dedicated to One Class Classification and its application to NLP / CV.

Contributing: Please feel free to make pull requests.

Contents

Research Trends and Surveys

Papers

SVM Approaches

Support Vector Domain Description

  • Support vector domain description [paper]
    • David M.J. Tax, Robert P.W. Duin
    • Pattern Recognition Letters 20 (1999)

Bayesian Data Description

  • A bayesian approach to the data description problem [paper]
    • Alireza Ghasemi, Hamid R Rabiee, Mohammad T Manzuri, Mohammad Hossein Rohban
    • AAAI 2012

Support Vector Mapping Convergence

  • Text Classification from Positive and Unlabeled Documents [paper]
    • Hwanjo Yu, ChengXiang Zhai, Jiawei Han
    • CIKM 2003

Center-Based Similarity Space Learning

  • Breaking the Closed World Assumption in Text Classification [paper]
    • Geli Fei, Bing Liu
    • NAACL 2016

Cumulative Learning

  • Learning Cumulatively to Become More Knowledgeable [paper]
    • Geli Fei, Shuai Wang, Bing Liu
    • KDD 2016

Deep Learning Approaches

OpenMax

  • Towards Open Set Deep Networks [paper]
    • Abhijit Bendale, Terrance Boult
    • CVPR 2016

Deep Open Classification (DOC)

  • DOC: Deep Open Classification of Text Documents [paper]
    • Lei Shu, Hu Xu, Bing Liu
    • EMNLP 2017

Deep Support Vector Data Description

  • Deep One-Class Classification [paper]
    • Lukas Ruff, Robert Vandermeulen, Nico Goernitz, Lucas Deecke, Shoaib Ahmed Siddiqui, Alexander Binder, Emmanuel Müller, Marius Kloft
    • PMLR 2018

GAN

  • Out-of-domain Detection based on Generative Adversarial Network [paper]
    • Seonghan Ryu, Sangjun Koo, Hwanjo Yu, Gary Geunbae Lee
    • EMNLP 2018

Mahalanobis distance-based

  • A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks [paper]
    • Kimin Lee, Kibok Lee, Honglak Lee, Jinwoo Shin
    • NIPS 2018
  • Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness [paper]
    • Tianyu Pang, Kun Xu, Yinpeng Dong, Chao Du, Ning Chen, Jun Zhu
    • ICLR 2020

Inhibited Softmax

  • Inhibited Softmax for Uncertainty Estimation in Neural Networks [paper]
    • Marcin Możejko, Mateusz Susik, Rafał Karczewski
    • ICLR 2019 Conference Withdrawn Submission

Margin Loss

  • Deep Unknown Intent Detection with Margin Loss [paper]
    • Ting-En Lin, Hua Xu
    • ACL 2019

KL Divergence

  • KLOOS: KL Divergence-based Out-of-Scope Intent Detection in Human-to-Machine Conversations [paper]
    • Eyup Halit Yilmaz, Cagri Toraman
    • SIGIR 2020

Pseudo OOD Sample Generation (POG)

  • Out-of-domain Detection for Natural Language Understanding in Dialog Systems [paper]
    • Yinhe Zheng, Guanyi Chen, Minlie Huang
    • TALSP 2020

Conditional Gaussian Distribution Learning (CGDL)

  • Conditional Gaussian Distribution Learning for Open Set Recognition [paper]
    • Xin Sun, Zhenning Yang, Chi Zhang, Guohao Peng, Keck-Voon Ling
    • CVPR 2020

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Datasets

  • Intent Classification and Out-of-Scope Prediction Dataset [paper]
    • This dataset dataset covers 150 intent classes over 10 domains, capturing the breadth that a production taskoriented agent must handle. It also includes queries that are out-of-scope i.e., queries that do not fall into any of the system’s supported intents.

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