Moonjung Eo

According to our database, Moonjung Eo authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Towards a Better Evaluation of Out-of-Domain Generalization.

Duhun Hwang, Suhyun Kang, Moonjung Eo, Jimyeong Kim, Wonjong Rhee

CoRR, 2024

Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness.

Jaeill Kim, Wonseok Lee, Moonjung Eo, Wonjong Rhee

CoRR, 2024

Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains.

Kyungeun Lee, Ye Seul Sim, Hye-Seung Cho, Moonjung Eo, Suhee Yoon, Sanghyu Yoon, Woohyung Lim

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

An effective low-rank compression with a joint rank selection followed by a compression-friendly training.

Moonjung Eo, Suhyun Kang, Wonjong Rhee

Neural Networks, April, 2023

A Differentiable Framework for End-to-End Learning of Hybrid Structured Compression.

Moonjung Eo, Suhyun Kang, Wonjong Rhee

CoRR, 2023

Deep Learning Framework With Essential Pre-Processing Techniques for Improving Mixed-Gas Concentration Prediction.

Moonjung Eo, Jeongyun Han, Wonjong Rhee

IEEE Access, 2023

Meta-Learning with a Geometry-Adaptive Preconditioner.

Suhyun Kang, Duhun Hwang, Moonjung Eo, Taesup Kim, Wonjong Rhee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

A Highly Effective Low-Rank Compression of Deep Neural Networks with Modified Beam-Search and Modified Stable Rank.

Moonjung Eo, Suhyun Kang, Wonjong Rhee

CoRR, 2021

Short-Term Traffic Prediction With Deep Neural Networks: A Survey.

Kyungeun Lee, Moonjung Eo, Euna Jung, Yoonjin Yoon, Wonjong Rhee

IEEE Access, 2021