Chungpa Lee

12 papers A* 1A 3Journal 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Fine-Tuning Without Forgetting In-Context Learning: A Theoretical Analysis of Linear Attention Models.
CoRR
Chungpa Lee, Jy-yong Sohn, Kangwook Lee
2026 J jnl
Transformers in the Dark: Navigating Unknown Search Spaces via Bandit Feedback.
CoRR
Jungtaek Kim, Thomas Zeng, Ziqian Lin, Minjae Lee, Chungpa Lee, Jy-yong Sohn, Hyung Il Koo, Kangwook Lee
2026 J jnl
Transformers in the Dark: Navigating Unknown Search Spaces via Bandit Feedback.
Trans. Mach. Learn. Res.
Jungtaek Kim, Thomas Zeng, Ziqian Lin, Minjae Lee, Chungpa Lee, Jy-yong Sohn, Hyung Il Koo, Kangwook Lee
2025 A conf
A Generalized Theory of Mixup for Structure-Preserving Synthetic Data.
AISTATS
Chungpa Lee, Jongho Im, Joseph H. T. Kim
2025 J jnl
A Generalized Theory of Mixup for Structure-Preserving Synthetic Data.
CoRR
Chungpa Lee, Jongho Im, Joseph H. T. Kim
2025 A conf
A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning.
AISTATS
Chungpa Lee, Jeongheon Oh, Kibok Lee, Jy-yong Sohn
2025 J jnl
A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning.
CoRR
Chungpa Lee, Jeongheon Oh, Kibok Lee, Jy-yong Sohn
2025 J jnl
How to Correctly Report LLM-as-a-Judge Evaluations.
CoRR
Chungpa Lee, Thomas Zeng, Jongwon Jeong, Jy-yong Sohn, Kangwook Lee
2025 A* conf
On the Similarities of Embeddings in Contrastive Learning.
ICML
Chungpa Lee, Sehee Lim, Kibok Lee, Jy-yong Sohn
2025 J jnl
On the Similarities of Embeddings in Contrastive Learning.
CoRR
Chungpa Lee, Sehee Lim, Kibok Lee, Jy-yong Sohn
2024 A conf
Analysis of Using Sigmoid Loss for Contrastive Learning.
AISTATS
Chungpa Lee, Joonhwan Chang, Jy-yong Sohn
2024 J jnl
Analysis of Using Sigmoid Loss for Contrastive Learning.
CoRR
Chungpa Lee, Joonhwan Chang, Jy-yong Sohn