Yookoon Park
6 papers · 2017–2024 · 4 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (21)
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Deep Learning
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Machine Learning
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Artificial Intelligence
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Core AI
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Learning Types · Machine Learning
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Models
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Learning Types · Deep Learning
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Generation
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Optimization & Theory · Deep Learning
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Optimization & Theory · Machine Learning
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neural network
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variational inference
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unsupervised learning
(1)
contrastive learning
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network architecture
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laplace approximation
(1)
uncertainty quantification
(1)
linear classification
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optimal transport
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self-supervised learning
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multimodal learning
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cross-modal retrieval
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density estimation
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mutual information
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representation learning
(1)
posterior approximation
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amortized inference
(1)
multimodal retrieval
(1)
unsupervised representation learning
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model compression
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Papers
Density Uncertainty Layers for Reliable Uncertainty Estimation
AISTATS 2024
Normalized Contrastive Learning for Text-Video Retrieval
EMNLP 2022
Unsupervised Representation Learning via Neural Activation Coding
ICML 2021
Variational Laplace Autoencoders
ICML 2019
A Hierarchical Latent Structure for Variational Conversation Modeling
NAACL 2018
SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization
ICML 2017