HeeSun Bae
7 papers · 2022–2025 · 4 conferences · across top CS/AI conferences
Achievements
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Interdisciplinary Bridge
π§
Keyword Pioneer
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Conference Polyglot
(4)
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Cross-Pollinator
(10)
πΊοΈ
Taxonomy Completionist
(13)
Conferences
ICLR (4)
AAAI (1)
AISTATS (1)
ICML (1)
Top co-authors
Keywords
neural network training
(1)
few-shot learning
(1)
bayesian learning
(1)
coreset selection
(1)
prompt learning
(1)
neural network optimization
(1)
empirical risk minimization
(1)
bayesian modeling
(1)
label noise
(1)
distribution shift
(1)
generative model
(1)
vision-language model
(1)
noisy label
(1)
generalization performance
(1)
wasserstein gradient flow
(1)
dataset condensation
(1)
loss curvature
(1)
transition matrix
(1)
noisy prediction calibration
(1)
Papers
Distilling Dataset into Neural Field
ICLR 2025
Label-Noise Robust Diffusion Models
ICLR 2024
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior
AAAI 2024
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
ICLR 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