Hanseul Cho

According to our database, Hanseul Cho authored at least 11 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

The Coverage Principle: A Framework for Understanding Compositional Generalization.

Hoyeon Chang, Jinho Park, Hanseul Cho, Sohee Yang, Miyoung Ko, Hyeonbin Hwang, Seungpil Won, Dohaeng Lee, Youbin Ahn, Minjoon Seo

CoRR, May, 2025

Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification.

Hyunji Jung, Hanseul Cho, Chulhee Yun

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Arithmetic Transformers Can Length-Generalize in Both Operand Length and Count.

Hanseul Cho, Jaeyoung Cha, Srinadh Bhojanapalli, Chulhee Yun

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Position Coupling: Leveraging Task Structure for Improved Length Generalization of Transformers.

Hanseul Cho, Jaeyoung Cha, Pranjal Awasthi, Srinadh Bhojanapalli, Anupam Gupta, Chulhee Yun

CoRR, 2024

DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity.

Baekrok Shin, Junsoo Oh, Hanseul Cho, Chulhee Yun

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure.

Hanseul Cho, Jaeyoung Cha, Pranjal Awasthi, Srinadh Bhojanapalli, Anupam Gupta, Chulhee Yun

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Fundamental Benefit of Alternating Updates in Minimax Optimization.

Jaewook Lee, Hanseul Cho, Chulhee Yun

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

2023

Enhancing Generalization and Plasticity for Sample Efficient Reinforcement Learning.

Hojoon Lee, Hanseul Cho, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun

CoRR, 2023

Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint.

Junghyun Lee, Hanseul Cho, Se-Young Yun, Chulhee Yun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning.

Hojoon Lee, Hanseul Cho, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization.

Hanseul Cho, Chulhee Yun

Proceedings of the Eleventh International Conference on Learning Representations, 2023