Namhoon Lee
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
9
Active years
2004–2026
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Quantifying Aleatoric Uncertainty of In-Context Learning for Robust Measure of LLM Prediction Confidence. | Jinseok Chung, Minkyoung Song, Hyunji Jung, Namhoon Lee |
| 2025 | ICLR | ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language Models. | Seonghwan Park, Jaehyeon Jeong, Yongjun Kim, Jaeho Lee, Namhoon Lee |
| 2025 | ICML | SAFE: Finding Sparse and Flat Minima to Improve Pruning. | Dongyeop Lee, Kwanhee Lee, Jinseok Chung, Namhoon Lee |
| 2025 | ICML | Sassha: Sharpness-aware Adaptive Second-order Optimization with Stable Hessian Approximation. | Dahun Shin, Dongyeop Lee, Jinseok Chung, Namhoon Lee |
| 2025 | UAI | Critical Influence of Overparameterization on Sharpness-aware Minimization. | Sungbin Shin, Dongyeop Lee, Maksym Andriushchenko, Namhoon Lee |
| 2024 | ECCV | The Role of Masking for Efficient Supervised Knowledge Distillation of Vision Transformers. | Seungwoo Son, Jegwang Ryu, Namhoon Lee, Jaeho Lee |
| 2024 | EMNLP | Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization. | Sungbin Shin, Wonpyo Park, Jaeho Lee, Namhoon Lee |
| 2023 | ICLR | Almost Sure Last Iterate Convergence of Sharpness-Aware Minimization. | Kyunghun Nam, Jinseok Chung, Namhoon Lee |
| 2023 | ICML | A Closer Look at the Intervention Procedure of Concept Bottleneck Models. | Sungbin Shin, Yohan Jo, Sungsoo Ahn, Namhoon Lee |
| 2021 | ICLR | Understanding the effects of data parallelism and sparsity on neural network training. | Namhoon Lee, Thalaiyasingam Ajanthan, Philip H. S. Torr, Martin Jaggi |
| 2020 | ICLR | A Signal Propagation Perspective for Pruning Neural Networks at Initialization. | Namhoon Lee, Thalaiyasingam Ajanthan, Stephen Gould, Philip H. S. Torr |
| 2019 | ICLR | Snip: single-Shot Network Pruning based on Connection sensitivity. | Namhoon Lee, Thalaiyasingam Ajanthan, Philip H. S. Torr |
| 2018 | ECCV | The Sixth Visual Object Tracking VOT2018 Challenge Results. | Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Toms Vojr, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernndez, lvaro Garca-Martn, lvaro Iglesias-Arias, A. Aydin Alatan, Abel Gonzlez-Garca, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, Joo F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodrguez Herranz, Jos M. Martnez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhenhua Feng, Zhihui Wang, Zhiqun He |
| 2018 | ICLR | Learn to Pay Attention. | Saumya Jetley, Nicholas A. Lord, Namhoon Lee, Philip H. S. Torr |
| 2017 | CVPR | DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents. | Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher B. Choy, Philip H. S. Torr, Manmohan Chandraker |
| 2017 | CVPR | Forecasting Interactive Dynamics of Pedestrians with Fictitious Play. | Wei-Chiu Ma, De-An Huang, Namhoon Lee, Kris M. Kitani |
| 2016 | WACV | Predicting wide receiver trajectories in American football. | Namhoon Lee, Kris M. Kitani |
| 2005 | ICCSA | Security Risk Vector for Quantitative Asset Assessment. | Yoon Jung Chung, InJung Kim, Namhoon Lee, Taek Lee, Hoh Peter In |
| 2004 | ICCSA | The Design and Development for Risk Analysis Automatic Tool. | Young-Hwan Bang, Yoon-Jung Jung, In-Jung Kim, Namhoon Lee, Gang-Soo Lee |