Yeongmin Kim
10 papers · 2023–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(22)
💎
Century Club · Bronze
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Keyword Collector
(51)
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Research topics
Deep Learning
(9)
Machine Learning
(8)
Models
(7)
Computer Vision
(4)
Learning Types · Deep Learning
(4)
Application Areas
(3)
Architectures
(3)
Generation
(3)
Learning Types · Machine Learning
(3)
Optimization & Theory
(3)
Core Methods
(2)
Artificial Intelligence
(1)
Core AI · Computer Vision
(1)
Core AI · Artificial Intelligence
(1)
Keywords
diffusion model
(5)
image generation
(3)
generative model
(3)
diffusion transformer
(2)
reinforcement learning
(1)
label noise
(1)
transformer architecture
(1)
model distillation
(1)
image classification
(1)
conditional generation
(1)
loss landscape
(1)
efficient computing
(1)
video generation
(1)
score matching
(1)
variational inference
(1)
representation learning
(1)
latent representation
(1)
acquisition function
(1)
bias mitigation
(1)
active learning
(1)
Papers
Autoregressive Distillation of Diffusion Transformers
CVPR 2025
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning
ICLR 2025
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute
CVPR 2025
Global Context-aware Representation Learning for Spatially Resolved Transcriptomics
ICML 2025
Diffusion Rejection Sampling
ICML 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
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models
ICML 2023
SAAL: Sharpness-Aware Active Learning
ICML 2023