Seunghyuk Cho
7 papers · 2022–2026 · 5 venues · across top CS/AI venues
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
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Unstoppable · Bronze
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Machine Learning
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Bayesian & Probabilistic
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Learning Types · Deep Learning
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Optimization & Theory
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Computer Vision
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Natural Language Processing
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Reinforcement Learning
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Analysis
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Keywords
variational autoencoder
(2)
hyperbolic space
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vision-language model
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domain adaptation
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belief propagation
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collaborative filtering
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density estimation
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machine unlearning
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hierarchical representation
(1)
label noise
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model-based reinforcement learning
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crowdsourced labeling
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state representation learning
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geometric reasoning
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latent representation
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generative model
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preference learning
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synthetic data
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parameter-efficient fine-tuning
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bayesian inference
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Papers
Plane Geometry Problem Solving with Multi-modal Reasoning: A Survey
EACL 2026
CoPL: Collaborative Preference Learning for Personalizing LLMs
EMNLP 2025
GeoDANO: Geometric VLM with Domain Agnostic Vision Encoder
EMNLP 2025
Feature Unlearning for Pre-trained GANs and VAEs
AAAI 2024
Hyperbolic VAE via Latent Gaussian Distributions
NeurIPS 2023
A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning
NeurIPS 2022
Robust Deep Learning from Crowds with Belief Propagation
AISTATS 2022