Minkyu Kim
12 papers · 2021–2026 · 7 venues · across top CS/AI venues
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (37) π Conference Polyglot Β· Silver
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Research topics
Machine Learning
(9)
Artificial Intelligence
(8)
Core AI Β· Artificial Intelligence
(8)
Deep Learning
(7)
Computer Vision
(4)
Learning Types
(4)
Application Areas
(3)
Core Methods
(3)
Models
(3)
Architectures
(2)
Core AI Β· Computer Vision
(2)
Optimization & Theory
(2)
Computer Science
(1)
Natural Language Processing
(1)
Analysis
(1)
Keywords
diffusion model
(3)
vision-language model
(3)
large language model
(2)
semantic segmentation
(1)
domain adaptation
(1)
optimal transport
(1)
certified robustness
(1)
test-time adaptation
(1)
text-to-image generation
(1)
neural network optimization
(1)
semantic knowledge
(1)
synthetic data generation
(1)
model alignment
(1)
sequential monte carlo
(1)
memory retention
(1)
image clustering
(1)
document analysis
(1)
multivariate time series
(1)
semantic information
(1)
confidence calibration
(1)
Papers
See and Fix the Flaws: Enabling VLMs and Diffusion Models to Comprehend Visual Artifacts via Agentic Data Synthesis
CVPR 2026
TELLME: Test-Enhanced Learning for Language Model Enrichment
EACL 2026
Transparent Networks for Multivariate Time Series
AAAI 2026
Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance
ICLR 2025
Test-time Alignment of Diffusion Models without Reward Over-optimization
ICLR 2025
Text Change Detection in Multilingual Documents using Image Comparison
WACV 2025
Discovering and Mitigating Visual Biases through Keyword Explanation
CVPR 2024
Image Clustering Conditioned on Text Criteria
ICLR 2024
Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity
ICML 2024
Balanced Column-Wise Block Pruning for Maximizing GPU Parallelism
AAAI 2023
S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions
NeurIPS 2023
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness
NeurIPS 2021