Dongmin Park
13 papers · 2019–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (35) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Topic Evolution
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Grand Slam
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Keyword Pioneer
ποΈ
Keyword Collector
(69)
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Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(11)
Deep Learning
(8)
Artificial Intelligence
(7)
Learning Types Β· Machine Learning
(7)
Application Areas
(5)
Core AI
(5)
Learning Types Β· Deep Learning
(4)
Optimization & Theory
(4)
Data Science & Analytics
(2)
Architectures
(2)
Learning Paradigms Β· Artificial Intelligence
(2)
Models
(2)
Applications
(1)
Core Methods
(1)
Learning Paradigms Β· Machine Learning
(1)
Keywords
catastrophic forgetting
(3)
diffusion model
(3)
continual learning
(3)
neural network
(2)
large language model
(2)
online learning
(1)
text-to-image generation
(1)
multi-task learning
(1)
transformer
(1)
test-time adaptation
(1)
semi-supervised learning
(1)
semantic knowledge
(1)
synthetic data generation
(1)
time series classification
(1)
label noise
(1)
data augmentation
(1)
time series
(1)
sequential monte carlo
(1)
query selection
(1)
model alignment
(1)
Papers
See and Fix the Flaws: Enabling VLMs and Diffusion Models to Comprehend Visual Artifacts via Agentic Data Synthesis
CVPR 2026
Active Learning for Continual Learning: Keeping the Past Alive in the Present
ICLR 2025
FlashAdventure: A Benchmark for GUI Agents Solving Full Story Arcs in Diverse Adventure Games
EMNLP 2025
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
Adaptive Shortcut Debiasing for Online Continual Learning
AAAI 2024
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
ICML 2024
Context Consistency Regularization for Label Sparsity in Time Series
ICML 2023
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy
NeurIPS 2023
Meta-Learning for Online Update of Recommender Systems
AAAI 2022
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning
NeurIPS 2022
Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data
NeurIPS 2021
Continual Learning by Asymmetric Loss Approximation With Single-Side Overestimation
ICCV 2019