Minyoung Kim
21 papers · 2018–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (10) π Cross-Pollinator (9)
πΊοΈ
Taxonomy Completionist
(37)
πΊ
Lone Wolf
(4)
π€
Dynamic Duo
(10)
π§¬
Topic Evolution
π
Grand Slam
ποΈ
Keyword Collector
(78)
π
Conference Pioneer
π
Century Club
(20)
π₯
Unstoppable
(5)
β‘
Prolific Year
(5)
Conferences
ICLR (4)
NIPS (4)
CVPR (3)
AAAI (2)
AISTATS (2)
ICML (2)
ACL (1)
ECCV (1)
ICCV (1)
JMLR (1)
Top co-authors
Keywords
variational inference
(4)
variational autoencoder
(3)
federated learning
(3)
gaussian process
(3)
bayesian inference
(3)
posterior approximation
(2)
amortized inference
(2)
few-shot learning
(2)
image classification
(1)
transfer learning
(1)
langevin dynamics
(1)
domain adaptation
(1)
computer vision
(1)
unsupervised learning
(1)
approximate inference
(1)
stochastic gradient
(1)
cross-modal retrieval
(1)
convergence analysis
(1)
semantic alignment
(1)
embedding learning
(1)
Papers
FedPΒ²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs
AAAI 2026
FedHB: Hierarchical Bayesian Federated Learning
JMLR 2025
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning
AAAI 2025
ReSCORE: Label-free Iterative Retriever Training for Multi-hop Question Answering with Relevance-Consistency Supervision
ACL 2025
LiFT: Learning to Fine-Tune via Bayesian Parameter Efficient Meta Fine-Tuning
ICLR 2025
A Bayesian Approach to Data Point Selection
NIPS 2024
A Hierarchical Bayesian Model for Few-Shot Meta Learning
ICLR 2024
BayesTune: Bayesian Sparse Deep Model Fine-tuning
NIPS 2023
FedL2P: Federated Learning to Personalize
NIPS 2023
SwAMP: Swapped Assignment of Multi-Modal Pairs for Cross-Modal Retrieval
AISTATS 2023
Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach
ICLR 2023
Gaussian Process Modeling of Approximate Inference Errors for Variational Autoencoders
CVPR 2022
Variational Continual Proxy-Anchor for Deep Metric Learning
AISTATS 2022
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference
CVPR 2022
Differentiable Expectation-Maximization for Set Representation Learning
ICLR 2022
Fisher SAM: Information Geometry and Sharpness Aware Minimisation
ICML 2022
Recursive Inference for Variational Autoencoders
NIPS 2020
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach
CVPR 2019
Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement
ICCV 2019
Online Multi-Object Tracking with Dual Matching Attention Networks
ECCV 2018
Markov Modulated Gaussian Cox Processes for Semi-Stationary Intensity Modeling of Events Data
ICML 2018