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Namhoon Lee
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2020 – today
- 2024
- [c17]Sungbin Shin, Wonpyo Park, Jaeho Lee, Namhoon Lee:
Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization. EMNLP 2024: 1182-1191 - [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
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
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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