Lee, Jay-Yoon

6 publications

ICLR 2025 CoMRes: Semi-Supervised Time Series Forecasting Utilizing Consensus Promotion of Multi-Resolution Yunju Cho, Jay-Yoon Lee

AutoML 2022 Meta-Adapters: Parameter Efficient Few-Shot Fine-Tuning Through Meta-Learning Trapit Bansal, Salaheddin Alzubi, Tong Wang, Jay-Yoon Lee, Andrew McCallum

ICLR 2022 Modeling Label Space Interactions in Multi-Label Classification Using Box Embeddings Dhruvesh Patel, Pavitra Dangati, Jay-Yoon Lee, Michael Boratko, Andrew McCallum

NeurIPS 2022 Structured Energy Network as a Loss Jay Yoon Lee, Dhruvesh Patel, Purujit Goyal, Wenlong Zhao, Zhiyang Xu, Andrew McCallum

AAAI 2020 Semi-Supervised Learning on Meta Structure: Multi-Task Tagging and Parsing in Low-Resource Scenarios Kyungtae Lim, Jay Yoon Lee, Jaime G. Carbonell, Thierry Poibeau

AAAI 2019 Gradient-Based Inference for Networks with Output Constraints Jay Yoon Lee, Sanket Vaibhav Mehta, Michael L. Wick, Jean-Baptiste Tristan, Jaime G. Carbonell