Fanglan Chen
8 papers · 2019–2023 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(21)
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Trend Setter
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Research topics
Machine Learning
(6)
Artificial Intelligence
(3)
Natural Language Processing
(3)
Core Methods
(3)
Learning Types · Machine Learning
(3)
Deep Learning
(2)
Mathematics & Optimization
(2)
Applications
(2)
Core AI
(2)
Learning Types · Deep Learning
(2)
Optimization
(2)
Optimization & Theory
(2)
Application Areas
(1)
Architectures
(1)
Learning Paradigms
(1)
Keywords
uncertainty estimation
(2)
metric learning
(2)
text classification
(2)
ensemble learning
(1)
prototype learning
(1)
natural language inference
(1)
cross-lingual transfer
(1)
named entity recognition
(1)
graph representation
(1)
label noise
(1)
document classification
(1)
neural network model
(1)
graph partitioning
(1)
self-paced learning
(1)
approximate optimization
(1)
greedy optimization
(1)
deep neural network
(1)
metric space
(1)
robust training
(1)
mixup training
(1)
Papers
Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives
AAAI 2023
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation
ACL 2023
Blocking Influence at Collective Level with Hard Constraints (Student Abstract)
AAAI 2022
Cross-Domain Few-Shot Semantic Segmentation
ECCV 2022
Uncertainty-Aware Cross-Lingual Transfer with Pseudo Partial Labels
NAACL 2022
Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data
AAAI 2020
Towards More Accurate Uncertainty Estimation In Text Classification
EMNLP 2020
Mitigating Uncertainty in Document Classification
NAACL 2019