Dongmin Park
12 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Cross-Pollinator (15) π Conference Polyglot (6) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (25)
π
Interdisciplinary Bridge
π
Grand Slam
π₯
Unstoppable
(5)
π
Century Club
(12)
Conferences
ICLR (3)
NIPS (3)
AAAI (2)
ICML (2)
EMNLP (1)
ICCV (1)
Top co-authors
Keywords
neural network
(2)
catastrophic forgetting
(2)
online learning
(1)
semi-supervised learning
(1)
query selection
(1)
feature extraction
(1)
time series classification
(1)
consistency regularization
(1)
time series
(1)
label noise
(1)
data augmentation
(1)
adaptive learning rate
(1)
robust learning
(1)
loss function
(1)
benchmark evaluation
(1)
game ai
(1)
long-term memory
(1)
parameter update
(1)
data pruning
(1)
continual learning
(1)
Papers
Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance
ICLR 2025
FlashAdventure: A Benchmark for GUI Agents Solving Full Story Arcs in Diverse Adventure Games
EMNLP 2025
Test-time Alignment of Diffusion Models without Reward Over-optimization
ICLR 2025
Active Learning for Continual Learning: Keeping the Past Alive in the Present
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
NIPS 2023
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning
NIPS 2022
Meta-Learning for Online Update of Recommender Systems
AAAI 2022
Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data
NIPS 2021
Continual Learning by Asymmetric Loss Approximation With Single-Side Overestimation
ICCV 2019