Lee, Namhoon

21 publications

NeurIPS 2025 An Analysis of Concept Bottleneck Models: Measuring, Understanding, and Mitigating the Impact of Noisy Annotations Seonghwan Park, Jueun Mun, Donghyun Oh, Namhoon Lee

UAI 2025 Critical Influence of Overparameterization on Sharpness-Aware Minimization Sungbin Shin, Dongyeop Lee, Maksym Andriushchenko, Namhoon Lee

NeurIPS 2025 MemEIC: A Step Toward Continual and Compositional Knowledge Editing Jin Seong, Jiyun Park, Wencke Liermann, Hongseok Choi, Yoonji Nam, Hyun Kim, Soojong Lim, Namhoon Lee

ICML 2025 SAFE: Finding Sparse and Flat Minima to Improve Pruning Dongyeop Lee, Kwanhee Lee, Jinseok Chung, Namhoon Lee

ICML 2025 Sassha: Sharpness-Aware Adaptive Second-Order Optimization with Stable Hessian Approximation Dahun Shin, Dongyeop Lee, Jinseok Chung, Namhoon Lee

ICLR 2025 ZIP: An Efficient Zeroth-Order Prompt Tuning for Black-Box Vision-Language Models Seonghwan Park, Jaehyeon Jeong, Yongjun Kim, Jaeho Lee, Namhoon Lee

CPAL 2024 Jaxpruner: A Concise Library for Sparsity Research Joo Hyung Lee, Wonpyo Park, Nicole Elyse Mitchell, Jonathan Pilault, Johan Samir Obando Ceron, Han-Byul Kim, Namhoon Lee, Elias Frantar, Yun Long, Amir Yazdanbakhsh, Woohyun Han, Shivani Agrawal, Suvinay Subramanian, Xin Wang, Sheng-Chun Kao, Xingyao Zhang, Trevor Gale, Aart J.C. Bik, Milen Ferev, Zhonglin Han, Hong-Seok Kim, Yann Dauphin, Gintare Karolina Dziugaite, Pablo Samuel Castro, Utku Evci

ECCV 2024 The Role of Masking for Efficient Supervised Knowledge Distillation of Vision Transformers Seungwoo Son, Jegwang Ryu, Namhoon Lee, Jaeho Lee

ICML 2023 A Closer Look at the Intervention Procedure of Concept Bottleneck Models Sungbin Shin, Yohan Jo, Sungsoo Ahn, Namhoon Lee

ICMLW 2023 FedFwd: Federated Learning Without Backpropagation Seonghwan Park, Dahun Shin, Jinseok Chung, Namhoon Lee

NeurIPSW 2023 Pruning Neural Networks with Velocity-Constrained Optimization Donghyun Oh, Jinseok Chung, Namhoon Lee

NeurIPSW 2022 A Closer Look at the Intervention Procedure of Concept Bottleneck Models Sungbin Shin, Yohan Jo, Sungsoo Ahn, Namhoon Lee

NeurIPS 2021 Meta-Learning Sparse Implicit Neural Representations Jaeho Lee, Jihoon Tack, Namhoon Lee, Jinwoo Shin

ICLR 2021 Understanding the Effects of Data Parallelism and Sparsity on Neural Network Training Namhoon Lee, Thalaiyasingam Ajanthan, Philip Torr, Martin Jaggi

ICLR 2020 A Signal Propagation Perspective for Pruning Neural Networks at Initialization Namhoon Lee, Thalaiyasingam Ajanthan, Stephen Gould, Philip H. S. Torr

ICLR 2019 Snip: Single-Shot Network Pruning Based on Connection Sensitivity Namhoon Lee, Thalaiyasingam Ajanthan, Philip Torr

ICLR 2018 Learn to Pay Attention Saumya Jetley, Nicholas A. Lord, Namhoon Lee, Philip H. S. Torr

ECCVW 2018 The Sixth Visual Object Tracking VOT2018 Challenge Results Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomás Vojír, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, 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, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, 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-Moñivar, 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

CVPR 2017 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

CVPR 2017 Forecasting Interactive Dynamics of Pedestrians with Fictitious Play Wei-Chiu Ma, De-An Huang, Namhoon Lee, Kris M. Kitani

WACV 2016 Predicting Wide Receiver Trajectories in American Football Namhoon Lee, Kris M. Kitani