On the Persistence of Multilabel Learning, Its Recent Trends, and Its Open Issues
Author:
Affiliation:
1. Aristotle University of Thessaloniki, Thessaloniki, Greece
2. Chongqing University of Posts and Telecommunications, Chongqing, China
3. Open University of Cyprus, Nicosia, Cyprus
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Computer Networks and Communications
Link
http://xplorestaging.ieee.org/ielx7/9670/10111508/10111512.pdf?arnumber=10111512
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1. An attention matrix for every decision: Faithfulness-based arbitration among multiple attention-based interpretations of transformers in text classification;mylonas,2022
2. Multi-Label Image Recognition With Graph Convolutional Networks
3. Multi-target prediction: a unifying view on problems and methods
4. Multi-label sampling based on local label imbalance
5. FastXML
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