Kim, Minyoung

36 publications

ICLR 2026 Robust Generalized Schr\"odinger Bridge via Sparse Variational Gaussian Processes Minyoung Kim

AAAI 2025 A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning Minyoung Kim, Timothy M. Hospedales

ICLR 2025 LiFT: Learning to Fine-Tune via Bayesian Parameter Efficient Meta Fine-Tuning Minyoung Kim, Timothy Hospedales

ICLRW 2025 Model Diffusion for Certifiable Few-Shot Transfer Learning Fady Rezk, Royson Lee, Henry Gouk, Timothy Hospedales, Minyoung Kim

NeurIPS 2024 A Bayesian Approach to Data Point Selection Xinnuo Xu, Minyoung Kim, Royson Lee, Brais Martinez, Timothy Hospedales

ICLR 2024 A Hierarchical Bayesian Model for Few-Shot Meta Learning Minyoung Kim, Timothy Hospedales

NeurIPS 2023 BayesTune: Bayesian Sparse Deep Model Fine-Tuning Minyoung Kim, Timothy Hospedales

ICLR 2023 Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach Minyoung Kim, Da Li, Timothy Hospedales

NeurIPS 2023 FedL2P: Federated Learning to Personalize Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy Hospedales, Ferenc Huszar, Nicholas Lane

AISTATS 2023 SwAMP: Swapped Assignment of Multi-Modal Pairs for Cross-Modal Retrieval Minyoung Kim

AISTATS 2022 Variational Continual Proxy-Anchor for Deep Metric Learning Minyoung Kim, Ricardo Guerrero, Hai X. Pham, Vladimir Pavlovic

ICLR 2022 Differentiable Expectation-Maximization for Set Representation Learning Minyoung Kim

ICML 2022 Fisher SAM: Information Geometry and Sharpness Aware Minimisation Minyoung Kim, Da Li, Shell X Hu, Timothy Hospedales

CVPR 2022 Gaussian Process Modeling of Approximate Inference Errors for Variational Autoencoders Minyoung Kim

CVPR 2022 Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference Shell Xu Hu, Da Li, Jan Stühmer, Minyoung Kim, Timothy M. Hospedales

NeurIPS 2020 Recursive Inference for Variational Autoencoders Minyoung Kim, Vladimir Pavlovic

ICCV 2019 Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic

ICCVW 2019 Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation Behnam Gholami, Pritish Sahu, Minyoung Kim, Vladimir Pavlovic

CVPR 2019 Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach Minyoung Kim, Pritish Sahu, Behnam Gholami, Vladimir Pavlovic

ICML 2018 Markov Modulated Gaussian Cox Processes for Semi-Stationary Intensity Modeling of Events Data Minyoung Kim

ECCV 2018 Online Multi-Object Tracking with Dual Matching Attention Networks Ji Zhu, Hua Yang, Nian Liu, Minyoung Kim, Wenjun Zhang, Ming-Hsuan Yang

UAI 2018 Variational Inference for Gaussian Process Models for Survival Analysis Minyoung Kim, Vladimir Pavlovic

ECCV 2010 A Real-Time System for Head Tracking and Pose Estimation Zengyin Zhang, Minyoung Kim, Fernando De la Torre, Wende Zhang

ECCVW 2010 A Real-Time System for Head Tracking and Pose Estimation Zengyin Zhang, Minyoung Kim, Fernando De la Torre, Wende Zhang

ICML 2010 Gaussian Processes Multiple Instance Learning Minyoung Kim, Fernando De la Torre

ECML-PKDD 2010 Hidden Conditional Ordinal Random Fields for Sequence Classification Minyoung Kim, Vladimir Pavlovic

ICML 2010 Local Minima Embedding Minyoung Kim, Fernando De la Torre

ECCV 2010 Structured Output Ordinal Regression for Dynamic Facial Emotion Intensity Prediction Minyoung Kim, Vladimir Pavlovic

AISTATS 2009 Covariance Operator Based Dimensionality Reduction with Extension to Semi-Supervised Settings Minyoung Kim, Vladimir Pavlovic

CVPR 2009 Switching Gaussian Process Dynamic Models for Simultaneous Composite Motion Tracking and Recognition Jixu Chen, Minyoung Kim, Yu Wang, Qiang Ji

CVPR 2008 Dimensionality Reduction Using Covariance Operator Inverse Regression Minyoung Kim, Vladimir Pavlovic

CVPR 2008 Face Tracking and Recognition with Visual Constraints in Real-World Videos Minyoung Kim, Sanjiv Kumar, Vladimir Pavlovic, Henry A. Rowley

ICML 2007 A Recursive Method for Discriminative Mixture Learning Minyoung Kim, Vladimir Pavlovic

ICCV 2007 Conditional State Space Models for Discriminative Motion Estimation Minyoung Kim, Vladimir Pavlovic

CVPR 2007 Discriminative Learning of Dynamical Systems for Motion Tracking Minyoung Kim, Vladimir Pavlovic

CVPR 2006 Discriminative Learning of Mixture of Bayesian Network Classifiers for Sequence Classification Minyoung Kim, Vladimir Pavlovic