Sungbin Lim
11 papers · 2019–2024 · 6 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (33)
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Century Club · Bronze
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(5)
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Research topics
Machine Learning
(10)
Optimization & Theory
(7)
Deep Learning
(5)
Learning Types · Machine Learning
(4)
Models
(4)
Computer Vision
(3)
Mathematics & Optimization
(3)
Optimization
(3)
Reinforcement Learning
(2)
Analysis
(2)
Application Areas
(2)
Applications
(2)
Core Methods
(2)
Learning Types · Deep Learning
(2)
Artificial Intelligence
(1)
Keywords
diffusion model
(3)
score-based generative model
(2)
stochastic differential equation
(2)
regret bound
(2)
data augmentation
(2)
probabilistic modeling
(1)
online learning
(1)
reinforcement learning
(1)
ensemble learning
(1)
maximum entropy
(1)
bayesian inference
(1)
text classification
(1)
uncertainty quantification
(1)
optimal transport
(1)
image generation
(1)
confidence calibration
(1)
black-box optimization
(1)
weakly supervised learning
(1)
neural architecture search
(1)
noisy label learning
(1)
Papers
Slice and Conquer: A Planar-to-3D Framework for Efficient Interactive Segmentation of Volumetric Images
WACV 2024
Stochastic Optimal Control for Diffusion Bridges in Function Spaces
NeurIPS 2024
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers
EACL 2023
Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces
NeurIPS 2023
Score-based Generative Models with Lévy Processes
NeurIPS 2023
Neural Bootstrapper
NeurIPS 2021
Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots
RSS 2020
Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds
AAAI 2020
Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards
NeurIPS 2020
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks
CVPR 2020
Fast AutoAugment
NeurIPS 2019