Hanseul Cho

17 papers A* 8Journal 9
YearRankTypeTitle / Venue / Authors
2025 A* conf
Arithmetic Transformers Can Length-Generalize in Both Operand Length and Count.
ICLR
Hanseul Cho, Jaeyoung Cha, Srinadh Bhojanapalli, Chulhee Yun
2025 A* conf
Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification.
ICLR
Hyunji Jung, Hanseul Cho, Chulhee Yun
2025 J jnl
Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification.
CoRR
Hyunji Jung, Hanseul Cho, Chulhee Yun
2025 J jnl
The Coverage Principle: A Framework for Understanding Compositional Generalization.
CoRR
Hoyeon Chang, Jinho Park, Hanseul Cho, Sohee Yang, Miyoung Ko, Hyeonbin Hwang, Seungpil Won, Dohaeng Lee, Youbin Ahn, Minjoon Seo
2024 J jnl
Arithmetic Transformers Can Length-Generalize in Both Operand Length and Count.
CoRR
Hanseul Cho, Jaeyoung Cha, Srinadh Bhojanapalli, Chulhee Yun
2024 A* conf
DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity.
NeurIPS
Baekrok Shin, Junsoo Oh, Hanseul Cho, Chulhee Yun
2024 J jnl
DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity.
CoRR
Baekrok Shin, Junsoo Oh, Hanseul Cho, Chulhee Yun
2024 A* conf
Fundamental Benefit of Alternating Updates in Minimax Optimization.
ICML
Jaewook Lee, Hanseul Cho, Chulhee Yun
2024 J jnl
Fundamental Benefit of Alternating Updates in Minimax Optimization.
CoRR
Jaewook Lee, Hanseul Cho, Chulhee Yun
2024 A* conf
Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure.
NeurIPS
Hanseul Cho, Jaeyoung Cha, Pranjal Awasthi, Srinadh Bhojanapalli, Anupam Gupta, Chulhee Yun
2024 J jnl
Position Coupling: Leveraging Task Structure for Improved Length Generalization of Transformers.
CoRR
Hanseul Cho, Jaeyoung Cha, Pranjal Awasthi, Srinadh Bhojanapalli, Anupam Gupta, Chulhee Yun
2023 J jnl
Enhancing Generalization and Plasticity for Sample Efficient Reinforcement Learning.
CoRR
Hojoon Lee, Hanseul Cho, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun
2023 A* conf
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint.
NeurIPS
Junghyun Lee, Hanseul Cho, Se-Young Yun, Chulhee Yun
2023 J jnl
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint.
CoRR
Junghyun Lee, Hanseul Cho, Se-Young Yun, Chulhee Yun
2023 A* conf
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning.
NeurIPS
Hojoon Lee, Hanseul Cho, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun
2023 A* conf
SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization.
ICLR
Hanseul Cho, Chulhee Yun
2022 J jnl
SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization.
CoRR
Hanseul Cho, Chulhee Yun