Jongin Lim
9 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(26)
🚀
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(7)
Core Methods
(5)
Learning Types · Machine Learning
(5)
Learning Types · Deep Learning
(5)
Architectures
(3)
Computer Vision
(2)
Application Areas
(2)
Techniques
(2)
Artificial Intelligence
(1)
Knowledge & Reasoning
(1)
Analysis
(1)
Core AI · Artificial Intelligence
(1)
Core AI · Computer Vision
(1)
Optimization & Theory
(1)
Keywords
node classification
(2)
graph neural network
(2)
domain generalization
(1)
embedding learning
(1)
data augmentation
(1)
adversarial augmentation
(1)
deep learning
(1)
convolutional neural network
(1)
class imbalance
(1)
feature space
(1)
visual classification
(1)
semi-supervised classification
(1)
cost-sensitive learning
(1)
variance
(1)
generalization
(1)
person re-identification
(1)
loss function
(1)
decision boundary
(1)
transfer learning
(1)
feature learning
(1)
Papers
PRIME: Deep Imbalanced Regression with Proxies
ICML 2025
Propagate and Inject: Revisiting Propagation-Based Feature Imputation for Graphs with Partially Observed Features
ICML 2025
Spreading Out-of-Distribution Detection on Graphs
ICLR 2025
BiasAdv: Bias-Adversarial Augmentation for Model Debiasing
CVPR 2023
Sample-wise Label Confidence Incorporation for Learning with Noisy Labels
ICCV 2023
Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning
CVPR 2022
Class-Attentive Diffusion Network for Semi-Supervised Classification
AAAI 2021
Influence-Balanced Loss for Imbalanced Visual Classification
ICCV 2021
Backbone Cannot Be Trained at Once: Rolling Back to Pre-Trained Network for Person Re-Identification
AAAI 2019