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2020 – today
- 2024
[i15]Sungbin Shin, Wonpyo Park, Jaeho Lee, Namhoon Lee:
Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization. CoRR abs/2406.15524 (2024)- 2023
- [c16]Kyunghun Nam, Jinseok Chung, Namhoon Lee:
Almost Sure Last Iterate Convergence of Sharpness-Aware Minimization. Tiny Papers @ ICLR 2023 - [c15]Sungbin Shin, Yohan Jo, Sungsoo Ahn, Namhoon Lee:
A Closer Look at the Intervention Procedure of Concept Bottleneck Models. ICML 2023: 31504-31520 - [i14]Moon Jeong Park, Youngbin Choi, Namhoon Lee, Dongwoo Kim:
SpReME: Sparse Regression for Multi-Environment Dynamic Systems. CoRR abs/2302.05942 (2023) - [i13]Seungwoo Son
, Namhoon Lee, Jaeho Lee:
MaskedKD: Efficient Distillation of Vision Transformers with Masked Images. CoRR abs/2302.10494 (2023) - [i12]Sungbin Shin, Yohan Jo, Sungsoo Ahn, Namhoon Lee:
A Closer Look at the Intervention Procedure of Concept Bottleneck Models. CoRR abs/2302.14260 (2023) - [i11]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:
JaxPruner: A concise library for sparsity research. CoRR abs/2304.14082 (2023) - [i10]Seonghwan Park, Dahun Shin, Jinseok Chung, Namhoon Lee:
FedFwd: Federated Learning without Backpropagation. CoRR abs/2309.01150 (2023) - [i9]Sungbin Shin, Dongyeop Lee, Maksym Andriushchenko, Namhoon Lee:
The Effects of Overparameterization on Sharpness-aware Minimization: An Empirical and Theoretical Analysis. CoRR abs/2311.17539 (2023) - 2021
- [c14]Namhoon Lee, Thalaiyasingam Ajanthan, Philip H. S. Torr, Martin Jaggi:
Understanding the effects of data parallelism and sparsity on neural network training. ICLR 2021 - [c13]Jaeho Lee, Jihoon Tack, Namhoon Lee, Jinwoo Shin:
Meta-Learning Sparse Implicit Neural Representations. NeurIPS 2021: 11769-11780 - [i8]Jaeho Lee, Jihoon Tack, Namhoon Lee, Jinwoo Shin:
Meta-Learning Sparse Implicit Neural Representations. CoRR abs/2110.14678 (2021) - 2020
- [b1]Namhoon Lee:
Toward efficient deep learning with sparse neural networks. University of Oxford, UK, 2020 - [c12]Namhoon Lee, Thalaiyasingam Ajanthan, Stephen Gould, Philip H. S. Torr:
A Signal Propagation Perspective for Pruning Neural Networks at Initialization. ICLR 2020 - [i7]Namhoon Lee, Philip H. S. Torr, Martin Jaggi:
Data Parallelism in Training Sparse Neural Networks. CoRR abs/2003.11316 (2020)
2010 – 2019
- 2019
- [c11]Namhoon Lee, Thalaiyasingam Ajanthan, Philip H. S. Torr:
Snip: single-Shot Network Pruning based on Connection sensitivity. ICLR (Poster) 2019 - [i6]Namhoon Lee, Thalaiyasingam Ajanthan, Stephen Gould, Philip H. S. Torr:
A Signal Propagation Perspective for Pruning Neural Networks at Initialization. CoRR abs/1906.06307 (2019) - 2018
- [j1]Hironori Hattori, Namhoon Lee, Vishnu Naresh Boddeti, Fares Beainy, Kris M. Kitani, Takeo Kanade:
Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator for Static Video Surveillance - Can We Learn Pedestrian Detectors and Pose Estimators Without Real Data? Int. J. Comput. Vis. 126(9): 1027-1044 (2018) - [c10]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, Zhen-Hua Feng, Zhihui Wang, Zhiqun He:
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 2018: 3-53 - [c9]Saumya Jetley, Nicholas A. Lord, Namhoon Lee, Philip H. S. Torr:
Learn to Pay Attention. ICLR (Poster) 2018 - [i5]Saumya Jetley, Nicholas A. Lord, Namhoon Lee, Philip H. S. Torr:
Learn To Pay Attention. CoRR abs/1804.02391 (2018) - [i4]Namhoon Lee, Thalaiyasingam Ajanthan, Philip H. S. Torr:
SNIP: Single-shot Network Pruning based on Connection Sensitivity. CoRR abs/1810.02340 (2018) - 2017
- [c8]Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher B. Choy, Philip H. S. Torr, Manmohan Chandraker:
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents. CVPR 2017: 2165-2174 - [c7]Wei-Chiu Ma, De-An Huang, Namhoon Lee, Kris M. Kitani:
Forecasting Interactive Dynamics of Pedestrians with Fictitious Play. CVPR 2017: 4636-4644 - [i3]Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher B. Choy, Philip H. S. Torr, Manmohan Krishna Chandraker:
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents. CoRR abs/1704.04394 (2017) - 2016
- [c6]Namhoon Lee, Kris M. Kitani:
Predicting wide receiver trajectories in American football. WACV 2016: 1-9 - [i2]Wei-Chiu Ma, De-An Huang, Namhoon Lee, Kris M. Kitani:
A Game-Theoretic Approach to Multi-Pedestrian Activity Forecasting. CoRR abs/1604.01431 (2016) - [i1]Namhoon Lee, Xinshuo Weng, Vishnu Naresh Boddeti, Yu Zhang, Fares Beainy, Kris M. Kitani, Takeo Kanade:
Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator. CoRR abs/1612.05234 (2016)
2000 – 2009
- 2005
- [c5]Yoon Jung Chung, InJung Kim, Namhoon Lee, Taek Lee, Hoh Peter In:
Security Risk Vector for Quantitative Asset Assessment. ICCSA (2) 2005: 274-283 - [c4]SangCheol Hwang, Namhoon Lee, Kouichi Sakurai, Joong Gil Park, Jaecheol Ryou:
The Improved Risk Analysis Mechanism in the Practical Risk Analysis System. ICOIN 2005: 835-842 - 2004
- [c3]Yoon-Jung Jung, In-Jung Kim, Namhoon Lee, JoongGil Park:
The Development of Risk Analysis Methodology for Information Asset on Network. Security and Management 2004: 258-261 - [c2]Young-Hwan Bang, Yoon-Jung Jung, In-Jung Kim, Namhoon Lee, Gang-Soo Lee:
The Design and Development for Risk Analysis Automatic Tool. ICCSA (1) 2004: 491-499 - 2002
- [c1]Cheolho Lee, Kyunghee Choi, Seungkyu Park, Gihyun Jung, Cheolwon Lee, Namhoon Lee:
A Vulnerability Scanning Script Management System. International Conference on Internet Computing 2002: 457-464
Coauthor Index
aka: Rama Krishna Sai Subrahmanyam Gorthi
aka: Gorthi R. K. Sai Subrahmanyam
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