Jaehoon Oh
9 papers · 2021–2025 · 6 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(23)
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Hot Topic Early Bird
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Research topics
Artificial Intelligence
(8)
Machine Learning
(8)
Learning Paradigms · Artificial Intelligence
(5)
Deep Learning
(4)
Learning Types · Machine Learning
(4)
Learning Types · Deep Learning
(4)
Application Areas
(3)
Core AI
(3)
Optimization & Theory
(3)
Core Methods
(2)
Natural Language Processing
(1)
Applications
(1)
Learning Paradigms · Machine Learning
(1)
Keywords
continual learning
(2)
model personalization
(2)
data heterogeneity
(2)
model compression
(2)
federated learning
(2)
transfer learning
(1)
kl divergence
(1)
few-shot learning
(1)
data augmentation
(1)
proximal optimization
(1)
machine translation
(1)
cross-lingual transfer
(1)
preference optimization
(1)
supervised contrastive learning
(1)
kullback-leibler divergence
(1)
knowledge distillation
(1)
gradient descent
(1)
mean squared error
(1)
model alignment
(1)
text classification
(1)
Papers
Beyond Fixed-Length Calibration for Post-Training Compression of LLMs
EMNLP 2025
OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference
ICML 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
FedBABU: Toward Enhanced Representation for Federated Image Classification
ICLR 2022
Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks
EMNLP 2022
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty
NeurIPS 2022
BOIL: Towards Representation Change for Few-shot Learning
ICLR 2021
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation
IJCAI 2021