KyungMin Kim
14 papers · 2018–2026 · 8 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (32)
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Topic Evolution
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Research topics
Machine Learning
(9)
Artificial Intelligence
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Deep Learning
(6)
Reinforcement Learning
(5)
Learning Types Β· Machine Learning
(5)
Methods
(5)
Application Areas
(4)
Core AI
(4)
Architectures
(3)
Learning Types Β· Deep Learning
(3)
Natural Language Processing
(2)
Core Methods
(2)
Learning Paradigms
(2)
Knowledge & Reasoning
(1)
Applications
(1)
Keywords
graph neural network
(3)
large language model
(2)
world model
(2)
link prediction
(1)
reward modeling
(1)
offline reinforcement learning
(1)
semi-supervised learning
(1)
conformal prediction
(1)
imitation learning
(1)
policy optimization
(1)
sim-to-real transfer
(1)
transfer learning
(1)
feature selection
(1)
self-supervised learning
(1)
question answering
(1)
data augmentation
(1)
text generation
(1)
language modeling
(1)
video understanding
(1)
false discovery rate
(1)
Papers
Adapting World Models with Latent-State Dynamics Residuals
L4DC 2026
Model-Based Reinforcement Learning under Random Observation Delays
L4DC 2026
ChronoBias: A Benchmark for Evaluating Time-conditional Group Bias in the Time-sensitive Knowledge of Large Language Models
EMNLP 2025
Realizable Continuous-Space Shields for Safe Reinforcement Learning
L4DC 2025
Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather
ECCV 2024
Selective Generation for Controllable Language Models
NeurIPS 2024
Selective Perception: Learning Concise State Descriptions for Language Model Actors
NAACL 2024
Direct Preference-based Policy Optimization without Reward Modeling
NeurIPS 2023
Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning
ACL 2023
Relation-Aware Language-Graph Transformer for Question Answering
AAAI 2023
CAG-QIL: Context-Aware Actionness Grouping via Q Imitation Learning for Online Temporal Action Localization
ICCV 2021
Metropolis-Hastings Data Augmentation for Graph Neural Networks
NeurIPS 2021
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs
NeurIPS 2020
Teaching Machines to Understand Baseball Games: Large-Scale Baseball Video Database for Multiple Video Understanding Tasks
ECCV 2018