Youngjo Lee

2 papers · 2022–2023 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird

Venues

AAAI (1) ICML (1)

Top co-authors

Hangbin Lee (1) Hongje Seong (1) Euntai Kim (1)

Research topics

Deep Learning (2) Machine Learning (2) Core Methods (2) Learning Types · Machine Learning (2) Computer Vision (1) Mathematics & Optimization (1) Analysis (1) Architectures (1) Bayesian & Probabilistic (1) Learning Types · Deep Learning (1) Mathematics (1) Optimization & Theory (1)

Keywords

variational inference (1) temporal information (1) label noise (1) maximum likelihood estimation (1) reference frame (1) deep neural network (1) data quality (1) noisy label (1) data cleaning (1) maximum likelihood estimator (1) random effect (1) mask prediction (1) hierarchical likelihood (1) temporal-spatial correlation (1) iterative prediction (1) unsupervised video object segmentation (1) mislabeled data (1)

Papers

H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical Features ICML 2023 Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier AAAI 2022