Namhoon Lee

According to our database, Namhoon Lee authored at least 28 papers between 2002 and 2024.

Collaborative distances:

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

2024

Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization.

Sungbin Shin, Wonpyo Park, Jaeho Lee, Namhoon Lee

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

The Role of Masking for Efficient Supervised Knowledge Distillation of Vision Transformers.

Seungwoo Son, Jegwang Ryu, Namhoon Lee, Jaeho Lee

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

The Effects of Overparameterization on Sharpness-aware Minimization: An Empirical and Theoretical Analysis.

Sungbin Shin, Dongyeop Lee, Maksym Andriushchenko, Namhoon Lee

CoRR, 2023

FedFwd: Federated Learning without Backpropagation.

Seonghwan Park, Dahun Shin, Jinseok Chung, Namhoon Lee

CoRR, 2023

JaxPruner: A concise library for sparsity research.

Joo Hyung Lee, Wonpyo Park, Nicole Mitchell, Jonathan Pilault, Johan S. Obando-Ceron, Han-Byul Kim, Namhoon Lee, Elias Frantar, Yun Long, Amir Yazdanbakhsh, Shivani Agrawal, Suvinay Subramanian, Xin Wang, Sheng-Chun Kao, Xingyao Zhang, Trevor Gale, Aart Bik, Woohyun Han, Milen Ferev, Zhonglin Han, Hong-Seok Kim, Yann N. Dauphin, Karolina Dziugaite, Pablo Samuel Castro, Utku Evci

CoRR, 2023

MaskedKD: Efficient Distillation of Vision Transformers with Masked Images.

Seungwoo Son, Namhoon Lee, Jaeho Lee

CoRR, 2023

SpReME: Sparse Regression for Multi-Environment Dynamic Systems.

Moon Jeong Park, Youngbin Choi, Namhoon Lee, Dongwoo Kim

CoRR, 2023

A Closer Look at the Intervention Procedure of Concept Bottleneck Models.

Sungbin Shin, Yohan Jo, Sungsoo Ahn, Namhoon Lee

Proceedings of the International Conference on Machine Learning, 2023

Almost Sure Last Iterate Convergence of Sharpness-Aware Minimization.

Kyunghun Nam, Jinseok Chung, Namhoon Lee

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2021

Meta-Learning Sparse Implicit Neural Representations.

Jaeho Lee, Jihoon Tack, Namhoon Lee, Jinwoo Shin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Understanding the effects of data parallelism and sparsity on neural network training.

Namhoon Lee, Thalaiyasingam Ajanthan, Philip H. S. Torr, Martin Jaggi

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Toward efficient deep learning with sparse neural networks.

Namhoon Lee

PhD thesis, 2020

Data Parallelism in Training Sparse Neural Networks.

Namhoon Lee, Philip H. S. Torr, Martin Jaggi

CoRR, 2020

A Signal Propagation Perspective for Pruning Neural Networks at Initialization.

Namhoon Lee, Thalaiyasingam Ajanthan, Stephen Gould, Philip H. S. Torr

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Snip: single-Shot Network Pruning based on Connection sensitivity.

Namhoon Lee, Thalaiyasingam Ajanthan, Philip H. S. Torr

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator for Static Video Surveillance - Can We Learn Pedestrian Detectors and Pose Estimators Without Real Data?

Hironori Hattori, Namhoon Lee, Vishnu Naresh Boddeti, Fares Beainy, Kris M. Kitani, Takeo Kanade

Int. J. Comput. Vis., 2018

Learn to Pay Attention.

Saumya Jetley, Nicholas A. Lord, Namhoon Lee, Philip H. S. Torr

Proceedings of the 6th International Conference on Learning Representations, 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 S. 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

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

Forecasting Interactive Dynamics of Pedestrians with Fictitious Play.

Wei-Chiu Ma, De-An Huang, Namhoon Lee, Kris M. Kitani

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

A Game-Theoretic Approach to Multi-Pedestrian Activity Forecasting.

Wei-Chiu Ma, De-An Huang, Namhoon Lee, Kris M. Kitani

CoRR, 2016

Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator.

Namhoon Lee, Xinshuo Weng, Vishnu Naresh Boddeti, Yu Zhang, Fares Beainy, Kris M. Kitani, Takeo Kanade

CoRR, 2016

Predicting wide receiver trajectories in American football.

Namhoon Lee, Kris M. Kitani

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

2005

The Improved Risk Analysis Mechanism in the Practical Risk Analysis System.

SangCheol Hwang, Namhoon Lee, Kouichi Sakurai, Joong Gil Park, Jaecheol Ryou

Proceedings of the Information Networking, 2005

Security Risk Vector for Quantitative Asset Assessment.

Yoon Jung Chung, InJung Kim, Namhoon Lee, Taek Lee, Hoh Peter In

Proceedings of the Computational Science and Its Applications, 2005

2004

The Design and Development for Risk Analysis Automatic Tool.

Young-Hwan Bang, Yoon-Jung Jung, In-Jung Kim, Namhoon Lee, Gang-Soo Lee

Proceedings of the Computational Science and Its Applications, 2004

The Development of Risk Analysis Methodology for Information Asset on Network.

Yoon-Jung Jung, In-Jung Kim, Namhoon Lee, JoongGil Park

Proceedings of the International Conference on Security and Management, 2004

2002

A Vulnerability Scanning Script Management System.

Cheolho Lee, Kyunghee Choi, Seungkyu Park, Gihyun Jung, Cheolwon Lee, Namhoon Lee

Proceedings of the International Conference on Internet Computing, 2002