Payam Karisani
7 papers · 2021–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(18)
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(7)
Natural Language Processing
(4)
Artificial Intelligence
(3)
Learning Types
(3)
Deep Learning
(2)
Application Areas
(2)
Applications · Natural Language Processing
(2)
Core Methods
(2)
Learning Paradigms
(2)
Understanding
(2)
Computer Science
(1)
Healthcare & Medicine
(1)
Applications · Computer Science
(1)
Architectures
(1)
Clinical
(1)
Keywords
text classification
(4)
domain adaptation
(3)
named entity recognition
(2)
transfer learning
(2)
semi-supervised learning
(2)
unsupervised domain adaptation
(1)
adversarial training
(1)
short text classification
(1)
multi-view learning
(1)
distribution shift
(1)
representativeness measure
(1)
domain shift
(1)
social media
(1)
adverse drug reaction
(1)
pre-trained transformer
(1)
fact checking
(1)
user-generated content
(1)
semantic drift
(1)
propaganda detection
(1)
view distillation
(1)
Papers
PropaInsight: Toward Deeper Understanding of Propaganda in Terms of Techniques, Appeals, and Intent
COLING 2025
Fact Checking Beyond Training Set
NAACL 2024
Named Entity Recognition Under Domain Shift via Metric Learning for Life Sciences
NAACL 2024
Neural Networks Against (and For) Self-Training: Classification with Small Labeled and Large Unlabeled Sets
ACL 2023
Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired Classifiers
AAAI 2022
Multi-View Active Learning for Short Text Classification in User-Generated Data
EMNLP 2022
View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data
NAACL 2021