Saehoon Kim
15 papers · 2015–2024 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (36) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
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Keyword Pioneer
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Topic Evolution
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Trend Setter
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Prolific Year Β· Productive
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Renaissance Researcher
(6)
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Century Club Β· Bronze
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Keyword Collector
(75)
Top co-authors
Research topics
Machine Learning
(13)
Deep Learning
(10)
Models
(7)
Core Methods
(5)
Artificial Intelligence
(4)
Computer Vision
(4)
Architectures
(4)
Learning Types Β· Machine Learning
(4)
Generation
(3)
Learning Types Β· Deep Learning
(3)
Optimization & Theory
(3)
Healthcare & Medicine
(2)
Mathematics & Optimization
(2)
Bayesian & Probabilistic
(2)
Clinical
(2)
Keywords
variational inference
(4)
autoregressive model
(3)
image generation
(3)
electronic health record
(2)
variational autoencoder
(2)
vector quantization
(2)
residual quantization
(2)
few-shot learning
(1)
vision transformer
(1)
continual learning
(1)
label propagation
(1)
uncertainty quantification
(1)
object detection
(1)
attention mechanism
(1)
similarity search
(1)
embedding space
(1)
zero-shot learning
(1)
flow matching
(1)
class imbalance
(1)
text-to-image generation
(1)
Papers
Simulation-Free Training of Neural ODEs on Paired Data
NeurIPS 2024
Generalizable Implicit Neural Representations via Instance Pattern Composers
CVPR 2023
Variational Distribution Learning for Unsupervised Text-to-Image Generation
CVPR 2023
Autoregressive Image Generation Using Residual Quantization
CVPR 2022
Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer
NeurIPS 2022
Efficient Multilingual Multi-modal Pre-training through Triple Contrastive Loss
COLING 2022
Locally Hierarchical Auto-Regressive Modeling for Image Generation
NeurIPS 2022
Sparse DETR: Efficient End-to-End Object Detection with Learnable Sparsity
ICLR 2022
Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare
AAAI 2020
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks
ICLR 2020
Scalable and Order-robust Continual Learning with Additive Parameter Decomposition
ICLR 2020
LEARNING TO PROPAGATE LABELS: TRANSDUCTIVE PROPAGATION NETWORK FOR FEW-SHOT LEARNING
ICLR 2019
DropMax: Adaptive Variational Softmax
NeurIPS 2018
Uncertainty-Aware Attention for Reliable Interpretation and Prediction
NeurIPS 2018
Bilinear Random Projections for Locality-Sensitive Binary Codes
CVPR 2015