Jaedong Hwang

According to our database, Jaedong Hwang authored at least 16 papers between 2019 and 2026.

Collaborative distances:

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

2026

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces.

Konstantinos Kontras, Trui Osselaer, Stylianos G. Mouslech, Angeliki-Ilektra Karaiskou, Guido Gagliardi, Thomas Strypsteen, Mohammad Hossein Badiei, Anku Rani, Maarten Vanmarcke, Miguel Bhagubai, Chanakya Ekbote, Jaedong Hwang, Christos Chatzichristos, Paul Pu Liang, Maarten De Vos

CoRR, May, 2026

2025

Learn Globally, Speak Locally: Bridging the Gaps in Multilingual Reasoning.

Jaedong Hwang, Kumar Tanmay, Seok-Jin Lee, Ayush Agrawal, Hamid Palangi, Kumar Ayush, Ila Fiete, Paul Pu Liang

CoRR, July, 2025

A Multi-Region Brain Model to Elucidate the Role of Hippocampus in Spatially Embedded Decision-Making.

Yi Xie, Jaedong Hwang, Carlos D. Brody, David W. Tank, Ila R. Fiete

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Breaking Neural Network Scaling Laws with Modularity.

Akhilan Boopathy, Sunshine Jiang, William Yue, Jaedong Hwang, Abhiram Iyer, Ila R. Fiete

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Grid Cell-Inspired Fragmentation and Recall for Efficient Map Building.

Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila R. Fiete

Trans. Mach. Learn. Res., 2024

ImageNet-RIB Benchmark: Large Pre-Training Datasets Don't Guarantee Robustness after Fine-Tuning.

Jaedong Hwang, Brian Cheung, Zhang-Wei Hong, Akhilan Boopathy, Pulkit Agrawal, Ila Fiete

CoRR, 2024

Towards Exact Computation of Inductive Bias.

Akhilan Boopathy, William Yue, Jaedong Hwang, Abhiram Iyer, Ila Fiete

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Rapid Learning without Catastrophic Forgetting in the Morris Water Maze.

Raymond Wang, Jaedong Hwang, Akhilan Boopathy, Ila R. Fiete

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

2023

Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity.

Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila Fiete

CoRR, 2023

Neuro-Inspired Efficient Map Building via Fragmentation and Recall.

Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila Fiete

CoRR, 2023

Stop or Forward: Dynamic Layer Skipping for Efficient Action Recognition.

Jong-Hyeon Seon, Jaedong Hwang, Jonghwan Mun, Bohyung Han

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Model-agnostic Measure of Generalization Difficulty.

Akhilan Boopathy, Kevin Liu, Jaedong Hwang, Shu Ge, Asaad Mohammedsaleh, Ila Fiete

Proceedings of the International Conference on Machine Learning, 2023

2021

Weakly Supervised Instance Segmentation by Deep Community Learning.

Jaedong Hwang, Seohyun Kim, Jeany Son, Bohyung Han

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Exemplar-Based Open-Set Panoptic Segmentation Network.

Jaedong Hwang, Seoung Wug Oh, Joon-Young Lee, Bohyung Han

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Weakly Supervised Instance Segmentation by Deep Multi-Task Community Learning.

Seohyun Kim, Jaedong Hwang, Jeany Son, Bohyung Han

CoRR, 2020

2019

Robust harmonic field based tooth segmentation in real-life noisy scanned mesh.

Jaedong Hwang, Sanghyeok Park, Seokjin Lee, Yeong-Gil Shin

Proceedings of the Medical Imaging 2019: Image Processing, 2019