Dongbin Na
5 papers · 2022–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(20)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Learning Types · Machine Learning
(4)
Application Areas
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Core AI · Artificial Intelligence
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Security & Privacy
(1)
Analysis
(1)
Applications
(1)
Architectures
(1)
Core AI · Computer Vision
(1)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Keywords
confidence calibration
(3)
text classification
(2)
out-of-distribution detection
(2)
uncertainty quantification
(1)
data augmentation
(1)
privacy preservation
(1)
semantic representation
(1)
machine unlearning
(1)
label complexity
(1)
uncertainty sampling
(1)
image inpainting
(1)
semantic similarity
(1)
deep neural network
(1)
ensemble method
(1)
pre-trained language model
(1)
model utility
(1)
background feature
(1)
pool-based learning
(1)
pre-trained transformer
(1)
outlier exposure
(1)
Papers
Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting
AAAI 2025
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers
EACL 2023
Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection
AAAI 2023
Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers
ACL 2023
A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity
NeurIPS 2022