Byeonghu Na
12 papers · 2022–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) πΊοΈ Taxonomy Completionist (13) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (5)
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Interdisciplinary Bridge
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Dynamic Duo
(11)
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Prolific Year
(6)
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Century Club
(12)
Conferences
ICLR (5)
ICML (3)
NIPS (2)
ACL (1)
ECCV (1)
Top co-authors
Keywords
generative model
(2)
active learning
(1)
image classification
(1)
reinforcement learning
(1)
adversarial learning
(1)
image generation
(1)
transfer learning
(1)
loss landscape
(1)
maximum likelihood
(1)
label noise
(1)
maximum likelihood estimation
(1)
diffusion model
(1)
acquisition function
(1)
normalizing flow
(1)
noisy label
(1)
distribution alignment
(1)
score-based model
(1)
implicit model
(1)
domain adversarial learning
(1)
sentence selection
(1)
Papers
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning
ICLR 2025
Reward-based Input Construction for Cross-document Relation Extraction
ACL 2024
Diffusion Rejection Sampling
ICML 2024
Training Unbiased Diffusion Models From Biased Dataset
ICLR 2024
Label-Noise Robust Diffusion Models
ICLR 2024
Unknown Domain Inconsistency Minimization for Domain Generalization
ICLR 2024
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
ICLR 2024
SAAL: Sharpness-Aware Active Learning
ICML 2023
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation
NIPS 2022
Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features
ECCV 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Model
NIPS 2022
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model
ICML 2022