HeeSun Bae

7 papers at tracked venues · 7 at CORE A* · active 2024–2025

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Venues

ICLR ×4 NeurIPS ×2 AAAI ×1

Frequent coauthors

Il-Chul Moon

×7

Byeonghu Na

×5

Wanmo Kang

×3

Seungjae Shin

×3

Gyuwon Sim

×2

Donghyeok Shin

×2

Se Jung Kwon

×2

Yeongmin Kim

×2

Minsang Park

×1

Mina Kang

×1

Jung Hyun Lee

×1

Youngjae Cho

×1

Papers

Diffusion Adaptive Text Embedding for Text-to-Image Diffusion Models
NeurIPS 2025 ·
Byeonghu Na
,
Minsang Park
,
Gyuwon Sim
,
Donghyeok Shin
, HeeSun Bae,
Mina Kang
,
Se Jung Kwon
,
Wanmo Kang
,
Il-Chul Moon
Distilling Dataset into Neural Field
ICLR 2025 ·
Donghyeok Shin
, HeeSun Bae,
Gyuwon Sim
,
Wanmo Kang
,
Il-Chul Moon
Preference Optimization by Estimating the Ratio of the Data Distribution
NeurIPS 2025 ·
Yeongmin Kim
, HeeSun Bae,
Byeonghu Na
,
Il-Chul Moon
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
ICLR 2024 · HeeSun Bae,
Seungjae Shin
,
Byeonghu Na
,
Il-Chul Moon
Label-Noise Robust Diffusion Models
ICLR 2024 ·
Byeonghu Na
,
Yeongmin Kim
, HeeSun Bae,
Jung Hyun Lee
,
Se Jung Kwon
,
Wanmo Kang
,
Il-Chul Moon
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior
AAAI 2024 ·
Youngjae Cho
, HeeSun Bae,
Seungjae Shin
,
Yeo Dong Youn
,
Weonyoung Joo
,
Il-Chul Moon
Unknown Domain Inconsistency Minimization for Domain Generalization
ICLR 2024 ·
Seungjae Shin
, HeeSun Bae,
Byeonghu Na
,
Yoon-Yeong Kim
,
Il-Chul Moon