SangMook Kim
6 papers · 2022–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Taxonomy Completionist
(13)
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Hot Topic Early Bird
Venues
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Research topics
Artificial Intelligence
(5)
Machine Learning
(5)
Learning Types · Machine Learning
(4)
Learning Paradigms · Artificial Intelligence
(3)
Deep Learning
(2)
Core AI
(2)
Learning Paradigms · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Application Areas
(1)
Core Methods
(1)
Keywords
federated learning
(3)
data heterogeneity
(2)
continual learning
(2)
model personalization
(2)
direct preference optimization
(1)
preference optimization
(1)
distributed learning
(1)
model alignment
(1)
gradient descent
(1)
query selection
(1)
label efficiency
(1)
proximal optimization
(1)
human feedback
(1)
diffusion model
(1)
client heterogeneity
(1)
knowledge forgetting
(1)
federated averaging
(1)
data filtering
(1)
knowledge retention
(1)
local training
(1)
Papers
Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models
ICLR 2025
PTCMIL: Multiple Instance Learning via Prompt Token Clustering for Whole Slide Image Analysis
MICCAI 2025
BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization
EMNLP 2024
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning
CVPR 2024
Re-Thinking Federated Active Learning Based on Inter-Class Diversity
CVPR 2023
FedBABU: Toward Enhanced Representation for Federated Image Classification
ICLR 2022