Dohyung Kim
16 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (36) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint
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The Questioner
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Unstoppable · Bronze
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Century Club · Bronze
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Keyword Collector
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Research topics
Machine Learning
(12)
Application Areas
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Deep Learning
(7)
Artificial Intelligence
(5)
Core AI
(5)
Optimization & Theory · Machine Learning
(4)
Optimization & Theory · Deep Learning
(4)
Natural Language Processing
(3)
Core Methods
(3)
Learning Types · Machine Learning
(3)
Computer Vision
(2)
Analysis
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Applications
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Generation
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Learning Types · Deep Learning
(2)
Keywords
model compression
(4)
large language model
(3)
representation learning
(2)
text classification
(2)
facial attribute classification
(2)
language model
(2)
straight-through estimator
(2)
network quantization
(2)
domain adaptation
(1)
curriculum learning
(1)
vision transformer
(1)
multilingual nlp
(1)
text generation
(1)
masked language model
(1)
post-training quantization
(1)
gradient-based optimization
(1)
neural architecture search
(1)
decision making
(1)
person re-identification
(1)
conditional generation
(1)
Papers
Confidence-Guided Stepwise Model Routing for Cost-Efficient Reasoning
AAAI 2026
Conditional [MASK] Discrete Diffusion Language Model
EMNLP 2025
ReflAct: World-Grounded Decision Making in LLM Agents via Goal-State Reflection
EMNLP 2025
Scheduling Weight Transitions for Quantization-Aware Training
ICCV 2025
Subnet-Aware Dynamic Supernet Training for Neural Architecture Search
CVPR 2025
Can LLMs Recognize Toxicity? A Structured Investigation Framework and Toxicity Metric
EMNLP 2024
Instance-Aware Group Quantization for Vision Transformers
CVPR 2024
Toward INT4 Fixed-Point Training via Exploring Quantization Error for Gradients
ECCV 2024
Camera-Driven Representation Learning for Unsupervised Domain Adaptive Person Re-identification
ICCV 2023
Fair Contrastive Learning for Facial Attribute Classification
CVPR 2022
KoBEST: Korean Balanced Evaluation of Significant Tasks
COLING 2022
Distance-Aware Quantization
ICCV 2021
Learning Disentangled Representation for Fair Facial Attribute Classification via Fairness-aware Information Alignment
AAAI 2021
Network Quantization With Element-Wise Gradient Scaling
CVPR 2021
Learning with Privileged Information for Efficient Image Super-Resolution
ECCV 2020
SFNet: Learning Object-Aware Semantic Correspondence
CVPR 2019