Dongha Kim
8 papers · 2020–2026 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Academic Marathon (5) π£ Hot Topic Early Bird
π
Cross-Pollinator
(6)
πΊοΈ
Taxonomy Completionist
(23)
π₯
Unstoppable
(6)
Conferences
AAAI (4)
ICML (2)
AISTATS (1)
JMLR (1)
Top co-authors
Keywords
deep generative model
(4)
inlier memorization
(2)
outlier detection
(2)
representation learning
(1)
manifold learning
(1)
anomaly detection
(1)
algorithmic fairness
(1)
data augmentation
(1)
adversarial training
(1)
generative model
(1)
label noise
(1)
nonparametric estimation
(1)
excess risk
(1)
likelihood estimation
(1)
curse of dimensionality
(1)
em algorithm
(1)
ensemble method
(1)
loss function
(1)
low-dimensional manifold
(1)
adversarial robustness
(1)
Papers
Memorize Early, Then Query: Inlier-Memorization-Guided Active Outlier Detection
AAAI 2026
ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect
AAAI 2025
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models
ICML 2024
IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples
AAAI 2024
A Likelihood Approach to Nonparametric Estimation of a Singular Distribution Using Deep Generative Models
JMLR 2023
Learning fair representation with a parametric integral probability metric
ICML 2022
Kernel-convoluted Deep Neural Networks with Data Augmentation
AAAI 2021
On casting importance weighted autoencoder to an EM algorithm to learn deep generative models
AISTATS 2020