HeeSun Bae
7 papers · 2022–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot · Bronze
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Taxonomy Completionist
(17)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Learning Types · Machine Learning
(5)
Deep Learning
(4)
Application Areas
(3)
Architectures
(2)
Core Methods
(2)
Optimization & Theory · Machine Learning
(2)
Artificial Intelligence
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
label noise
(2)
transition matrix
(2)
generative model
(2)
domain generalization
(1)
bayesian learning
(1)
coreset selection
(1)
noisy label learning
(1)
knowledge distillation
(1)
conditional generation
(1)
prompt learning
(1)
sharpness-aware minimization
(1)
neural network optimization
(1)
loss landscape
(1)
empirical risk minimization
(1)
bayesian modeling
(1)
data perturbation
(1)
distribution shift
(1)
dirichlet distribution
(1)
vision-language model
(1)
dataset distillation
(1)
Papers
Distilling Dataset into Neural Field
ICLR 2025
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
ICLR 2024
Label-Noise Robust Diffusion Models
ICLR 2024
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior
AAAI 2024
Unknown Domain Inconsistency Minimization for Domain Generalization
ICLR 2024
Loss-Curvature Matching for Dataset Selection and Condensation
AISTATS 2023
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model
ICML 2022