Jongin Lim
9 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
π Cross-Pollinator (15) π Conference Polyglot (5) π Academic Marathon (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (24)
π§
Keyword Pioneer
π±
Topic Pioneer
π
Conference Pioneer
π
Trend Setter
Conferences
AAAI (2)
CVPR (2)
ICCV (2)
ICML (2)
ICLR (1)
Top co-authors
Keywords
adversarial learning
(1)
feature learning
(1)
domain generalization
(1)
transfer learning
(1)
embedding learning
(1)
data augmentation
(1)
adversarial augmentation
(1)
person re-identification
(1)
deep learning
(1)
class imbalance
(1)
visual classification
(1)
semi-supervised classification
(1)
cost-sensitive learning
(1)
convolutional neural network
(1)
loss function
(1)
decision boundary
(1)
node classification
(1)
deep metric learning
(1)
spurious correlation
(1)
noisy label
(1)
Papers
Spreading Out-of-Distribution Detection on Graphs
ICLR 2025
PRIME: Deep Imbalanced Regression with Proxies
ICML 2025
Propagate and Inject: Revisiting Propagation-Based Feature Imputation for Graphs with Partially Observed Features
ICML 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
Influence-Balanced Loss for Imbalanced Visual Classification
ICCV 2021
Class-Attentive Diffusion Network for Semi-Supervised Classification
AAAI 2021
Backbone Cannot Be Trained at Once: Rolling Back to Pre-Trained Network for Person Re-Identification
AAAI 2019