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Open Knowledge Discovery Reading List

This is an open knowledge discovery reading list maintained by THUIAR team. As real-world scenarios are usually open settings, it is crucial to discovery these open knowledge (e.g., new user intents in dialogue system, image open set and so on) to improve the quality of machine learning systems.

Our list is still incomplete and the taxonomy may be inappropriate. We will keep adding papers to improve the list, and welcome to Pull Request ! If you have any suggestions, please contact zhang-hl20@mails.tsinghua.edu.cn.

Contents

<!-- * [Multimodality](#Multimodality) * [Dialogue System](#Dialogue_System) --> <h2 id="Natural_Language_Processing">Natural Language Processing</h2> <h3 id="Toolkit">Toolkit</h3> <h3 id="Open_Intent_Detection">Open Intent Detection</h3> <h3 id="Out-of-domain_Detection">Out-of-domain Detection</h3> <h3 id="Open_World_Classification">Open World Classification</h3> <h3 id="New_Intent_Discovery">New Intent Discovery</h3> <h2 id="Computer_Vision">Computer Vision</h2> <h3 id="Out_of_Domain_Detection">Out-of-domain Detection</h3> <h3 id="Open_Set_Recognition">Open Set Recognition / Open World Classification</h3> <h3 id="New_Category_Discovery">New Category Discovery</h3> <h2 id="ML">Machine Learning</h2> <h3 id="Deep_Clustering">Deep Clustering</h3>

Acknowledgements

Contributors: Hanlei Zhang, Shaojie Zhao, Ting-En Lin, Kang Zhao.

We thank TaoCesc for paper recommendation.

<!-- <h2 id="Multimodality">Multimodality</h2> <h3 id="Dialogue_System">Dialogue System</h3> * Amrita Saha, Mitesh M. Khapra and Karthik Sankaranarayanan. 2018. **Towards Building Large Scale Multimodal Domain-Aware Conversation Systems**. In *Proceedings of AAAI 2018*. [[paper](https://arxiv.org/abs/1704.00200)] [[code](https://github.com/lipiji/dialogue-hred-vhred)] -->