Hye Won Chung
11 papers · 2019–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (22) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 👑 Triple Crown
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Keyword Collector
(60)
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Prolific Year · Productive
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Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(5)
Application Areas
(5)
Optimization & Theory
(5)
Artificial Intelligence
(4)
Mathematics & Optimization
(4)
Architectures
(2)
Core AI · Artificial Intelligence
(2)
Mathematics
(2)
Models
(2)
Probability
(2)
Computer Vision
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core AI · Computer Vision
(1)
Keywords
hypothesis testing
(2)
signal detection
(2)
principal component analysis
(1)
knowledge distillation
(1)
test-time adaptation
(1)
feature correlation
(1)
nearest neighbor
(1)
label aggregation
(1)
eigenvalue analysis
(1)
label noise
(1)
gradient descent
(1)
data valuation
(1)
matrix completion
(1)
kernel ridge regression
(1)
graph matching
(1)
worker reliability
(1)
stochastic block model
(1)
minimax optimal
(1)
probabilistic modeling
(1)
non-convex optimization
(1)
Papers
Rethinking Self-Distillation: Label Averaging and Enhanced Soft Label Refinement with Partial Labels
ICLR 2025
BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges
ICML 2024
SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching
ICML 2024
Data Valuation Without Training of a Model
ICLR 2023
Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation
ICML 2023
Rank-1 Matrix Completion with Gradient Descent and Small Random Initialization
NeurIPS 2023
Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing
ICML 2023
Test-Time Adaptation via Self-Training with Nearest Neighbor Information
ICLR 2023
Detection of Signal in the Spiked Rectangular Models
ICML 2021
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks
NeurIPS 2021
Weak Detection of Signal in the Spiked Wigner Model
ICML 2019