Chun-Nam Yu
8 papers · 2011–2025 · 6 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (31) π£ Hot Topic Early Bird
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Research topics
Machine Learning
(7)
Learning Types Β· Machine Learning
(5)
Artificial Intelligence
(4)
Core AI
(4)
Core Methods
(4)
Deep Learning
(3)
Optimization & Theory
(3)
Natural Language Processing
(2)
Application Areas
(2)
Learning Types Β· Deep Learning
(2)
Models
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Healthcare & Medicine
(1)
Applications
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Architectures
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Clinical
(1)
Keywords
model compression
(2)
neural tangent kernel
(1)
structured output prediction
(1)
few-shot learning
(1)
domain adaptation
(1)
feature extraction
(1)
structured prediction
(1)
model misspecification
(1)
transductive learning
(1)
prompt engineering
(1)
autoregressive generation
(1)
covariate shift
(1)
prior knowledge
(1)
parameter sharing
(1)
semi-supervised learning
(1)
survival analysis
(1)
distribution shift
(1)
structural svm
(1)
survival time prediction
(1)
image classification
(1)
Papers
Detecting Hallucinations in Scientific Claims by Combining Prompting Strategies and Internal State Classification
ACL 2025
Does Self-Attention Need Separate Weights in Transformers?
NAACL 2025
Predicting Through Generation: Why Generation Is Better for Prediction
ACL 2025
RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates
ACL 2025
A Direct Approach to Robust Deep Learning Using Adversarial Networks
ICLR 2019
Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification
ICML 2014
Transductive Learning of Structural SVMs via Prior Knowledge Constraints
AISTATS 2012
Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors
NeurIPS 2011