Moonjung Eo

Orcid: 0000-0002-0114-8010

According to our database1, Moonjung Eo authored at least 11 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2025
MultiTab: A Comprehensive Benchmark Suite for Multi-Dimensional Evaluation in Tabular Domains.
CoRR, May, 2025

Improving forward compatibility in class incremental learning by increasing representation rank and feature richness.
Neural Networks, 2025

Towards a better evaluation of out-of-domain generalization.
Neural Networks, 2025

Representation Space Augmentation for Effective Self-Supervised Learning on Tabular Data.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains.
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.
Neural Networks, April, 2023

A Differentiable Framework for End-to-End Learning of Hybrid Structured Compression.
CoRR, 2023

Deep Learning Framework With Essential Pre-Processing Techniques for Improving Mixed-Gas Concentration Prediction.
IEEE Access, 2023

Meta-Learning with a Geometry-Adaptive Preconditioner.
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.
CoRR, 2021

Short-Term Traffic Prediction With Deep Neural Networks: A Survey.
IEEE Access, 2021


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