Hye Won Chung
11 papers · 2019–2025 · 3 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer π Conference Polyglot (3) π Academic Marathon (6) π Cross-Pollinator (11)
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Interdisciplinary Bridge
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Triple Crown
β‘
Prolific Year
(5)
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Trend Setter
π
Century Club
(11)
Conferences
ICML (6)
ICLR (3)
NIPS (2)
Top co-authors
Research topics
Keywords
signal detection
(2)
hypothesis testing
(2)
principal component analysis
(1)
graph matching
(1)
gradient descent
(1)
matrix completion
(1)
label aggregation
(1)
worker reliability
(1)
stochastic block model
(1)
minimax optimal
(1)
eigenvalue analysis
(1)
random matrix theory
(1)
phase transition
(1)
implicit regularization
(1)
community structure
(1)
generative adversarial network
(1)
minority group
(1)
data distribution
(1)
ground truth
(1)
random initialization
(1)
Papers
Rethinking Self-Distillation: Label Averaging and Enhanced Soft Label Refinement with Partial Labels
ICLR 2025
SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching
ICML 2024
BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges
ICML 2024
Rank-1 Matrix Completion with Gradient Descent and Small Random Initialization
NIPS 2023
Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation
ICML 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
Data Valuation Without Training of a Model
ICLR 2023
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks
NIPS 2021
Detection of Signal in the Spiked Rectangular Models
ICML 2021
Weak Detection of Signal in the Spiked Wigner Model
ICML 2019