Youngmin Oh
15 papers · 2021–2026 · 7 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (25)
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Dynamic Duo
(10)
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Century Club Β· Bronze
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Keyword Collector
(61)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Deep Learning
(10)
Machine Learning
(8)
Artificial Intelligence
(6)
Learning Types Β· Deep Learning
(6)
Computer Vision
(4)
Analysis
(4)
Application Areas
(4)
Learning Paradigms
(4)
Reinforcement Learning
(3)
Architectures
(3)
Core AI
(3)
Learning Types Β· Machine Learning
(3)
Methods
(3)
Optimization & Theory
(3)
Core Methods
(2)
Keywords
semantic segmentation
(4)
supernet training
(3)
neural architecture search
(3)
knowledge distillation
(2)
off-policy reinforcement learning
(2)
negative transfer
(2)
multi-task learning
(1)
vision transformer
(1)
zero-shot learning
(1)
weakly supervised learning
(1)
incremental learning
(1)
class-incremental learning
(1)
sample efficiency
(1)
feature representation
(1)
model-based reinforcement learning
(1)
attention mechanism
(1)
label smoothing
(1)
continual reinforcement learning
(1)
network optimization
(1)
curriculum learning
(1)
Papers
GrowTAS: Progressive Expansion from Small to Large Subnets for Efficient ViT Architecture Search
WACV 2026
Task Prototype-Based Knowledge Retrieval for Multi-Task Learning from Partially Annotated Data
AAAI 2026
Efficient Few-Shot Neural Architecture Search by Counting the Number of Nonlinear Functions
AAAI 2025
Prevalence of Negative Transfer in Continual Reinforcement Learning: Analyses and a Simple Baseline
ICLR 2025
Subnet-Aware Dynamic Supernet Training for Neural Architecture Search
CVPR 2025
FYI: Flip Your Images for Dataset Distillation
ECCV 2024
MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection
ECCV 2024
ACLS: Adaptive and Conditional Label Smoothing for Network Calibration
ICCV 2023
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation
NeurIPS 2022
Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation
NeurIPS 2022
Model-augmented Prioritized Experience Replay
ICLR 2022
OIMNet++: Prototypical Normalization and Localization-Aware Learning for Person Search
ECCV 2022
Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation
CVPR 2021
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation
ICCV 2021
Learning to Sample with Local and Global Contexts in Experience Replay Buffer
ICLR 2021