Sung In Cho
5 papers · 2023–2026 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(14)
Top co-authors
Research topics
Deep Learning
(4)
Machine Learning
(4)
Learning Types · Machine Learning
(4)
Learning Types · Deep Learning
(3)
Artificial Intelligence
(1)
Computer Vision
(1)
Application Areas
(1)
Core Methods
(1)
Learning Paradigms
(1)
Optimization & Theory · Deep Learning
(1)
Optimization & Theory · Machine Learning
(1)
Processing
(1)
Keywords
pseudo labeling
(3)
embedding space
(2)
semi-supervised learning
(2)
embedding learning
(1)
knowledge transfer
(1)
source-free domain adaptation
(1)
image super-resolution
(1)
semi-supervised domain adaptation
(1)
consistency regularization
(1)
model generalization
(1)
mixed-precision quantization
(1)
graph convolutional network
(1)
confidence threshold
(1)
consistency training
(1)
bit-width allocation
(1)
peak signal-to-noise ratio
(1)
metric tensor
(1)
geometric curvature
(1)
gradient-based selection
(1)
gradient cutting
(1)
Papers
Gradient Knows Best: Mixed-Precision Quantization via Gradient-Guided Bit Allocation for Super-Resolution
CVPR 2026
Measure The Feature Universe: Topology-based Pseudo Labeling and Gravity Consistency for Source-Free Domain Adaptation
CVPR 2026
Dynamic Pseudo Labeling via Gradient Cutting for High-Low Entropy Exploration
CVPR 2025
Not All Classes Stand on Same Embeddings: Calibrating a Semantic Distance with Metric Tensor
CVPR 2024
Improved Knowledge Transfer for Semi-Supervised Domain Adaptation via Trico Training Strategy
ICCV 2023