Byeonghu Na
12 papers · 2022–2025 · 5 venues · across top CS/AI venues
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Achievements
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Venues
Top co-authors
Research topics
Keywords
diffusion model
(4)
generative model
(3)
transition matrix
(2)
loss landscape
(2)
label noise
(2)
adversarial learning
(1)
reinforcement learning
(1)
active learning
(1)
transfer learning
(1)
variational inference
(1)
noisy label learning
(1)
conditional generation
(1)
sharpness-aware minimization
(1)
image classification
(1)
data perturbation
(1)
domain generalization
(1)
maximum likelihood
(1)
maximum likelihood estimation
(1)
score matching
(1)
image generation
(1)
Papers
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning
ICLR 2025
Diffusion Rejection Sampling
ICML 2024
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
ICLR 2024
Label-Noise Robust Diffusion Models
ICLR 2024
Reward-based Input Construction for Cross-document Relation Extraction
ACL 2024
Training Unbiased Diffusion Models From Biased Dataset
ICLR 2024
Unknown Domain Inconsistency Minimization for Domain Generalization
ICLR 2024
SAAL: Sharpness-Aware Active Learning
ICML 2023
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model
ICML 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Model
NeurIPS 2022
Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features
ECCV 2022
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation
NeurIPS 2022