Learning Discriminative Representations and Decision Boundaries for Open Intent Detection-Reference-Cited by-同舟云学术

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Learning Discriminative Representations and Decision Boundaries for Open Intent Detection

Published:2023 Issue: Volume:31 Page:1611-1623
ISSN:2329-9290
Container-title:IEEE/ACM Transactions on Audio, Speech, and Language Processing
language:
Short-container-title:IEEE/ACM Trans. Audio Speech Lang. Process.

Author:

Zhang Hanlei¹^ORCID,Xu Hua¹^ORCID,Zhao Shaojie¹^ORCID,Zhou Qianrui¹^ORCID

Affiliation:

1. State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Link

http://xplorestaging.ieee.org/ielx7/6570655/9970249/10097558.pdf?arnumber=10097558

Reference58 articles.

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2. Visualizing data using t-SNE;maaten;J Mach Learn Res,2008

3. A baseline for detecting misclassified and out-of-distribution examples in neural networks;hendrycks;Proc Int Conf Learn Representations,0

4. Adam: A method for stochastic optimization;kingma;Proc Int Conf Learn Representations,0

5. Joint Learning of Domain Classification and Out-of-Domain Detection with Dynamic Class Weighting for Satisficing False Acceptance Rates

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4. Improving Open Intent Detection via Triplet-Contrastive Learning and Adaptive Boundary;IEEE Transactions on Consumer Electronics;2024-02

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