Heeyoung Kim
11 papers · 2016–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π Conference Polyglot (7) π Academic Marathon (9) π Cross-Pollinator (14)
πΊοΈ
Taxonomy Completionist
(24)
π§
Keyword Pioneer
π
Century Club
(11)
Conferences
ICML (3)
NIPS (3)
AAAI (1)
CVPR (1)
ECCV (1)
ICCV (1)
IJCAI (1)
Top co-authors
Keywords
semi-supervised learning
(3)
class imbalance
(3)
logit adjustment
(2)
out-of-distribution detection
(2)
representation learning
(2)
gaussian processes
(1)
hyperparameter optimization
(1)
uncertainty quantification
(1)
pseudo labeling
(1)
dynamic routing
(1)
gaussian process
(1)
fisher information
(1)
generalization ability
(1)
fisher information matrix
(1)
prior distribution
(1)
bayesian optimization
(1)
neural network regularization
(1)
acquisition function
(1)
surrogate model
(1)
consistency regularization
(1)
Papers
Learnable Logit Adjustment for Imbalanced Semi-Supervised Learning under Class Distribution Mismatch
ICCV 2025
Uncertainty Estimation by Density Aware Evidential Deep Learning
ICML 2024
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning
CVPR 2024
Rebalancing Using Estimated Class Distribution for Imbalanced Semi-Supervised Learning under Class Distribution Mismatch
ECCV 2024
Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks
AAAI 2023
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning
NIPS 2021
Objective Bound Conditional Gaussian Process for Bayesian Optimization
ICML 2021
Locally Most Powerful Bayesian Test for Out-of-Distribution Detection using Deep Generative Models
NIPS 2021
OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification
NIPS 2020
Ladder Capsule Network
ICML 2019
Bayesian Nonparametric Collaborative Topic Poisson Factorization for Electronic Health Records-Based Phenotyping
IJCAI 2016