| SNIP: Single-shot network pruning based on connection sensitivity N Lee, T Ajanthan, PHS Torr ICLR 2019, 2018 | 1154 | 2018 |
| DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents N Lee, W Choi, P Vernaza, CB Choy, PHS Torr, M Chandraker CVPR 2017, 2017 | 1135 | 2017 |
| The sixth visual object tracking vot2018 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... ECCV 2018 Workshop on the Visual Object Tracking Challenge, 2018 | 936 | 2018 |
| Learn to pay attention S Jetley, NA Lord, N Lee, PHS Torr ICLR 2018, 2018 | 521 | 2018 |
| Forecasting interactive dynamics of pedestrians with fictitious play WC Ma, DA Huang, N Lee, KM Kitani CVPR 2017, 2017 | 199 | 2017 |
| A signal propagation perspective for pruning neural networks at initialization N Lee, T Ajanthan, S Gould, PHS Torr ICLR 2020, 2019 | 168 | 2019 |
| Predicting wide receiver trajectories in american football N Lee, KM Kitani WACV 2016, 2016 | 69 | 2016 |
| Synthesizing a scene-specific pedestrian detector and pose estimator for static video surveillance H Hattori, N Lee, VN Boddeti, F Beainy, KM Kitani, T Kanade International Journal of Computer Vision 126 (9), 1027-1044, 2018 | 42 | 2018 |
| Meta-Learning Sparse Implicit Neural Representations J Lee, J Tack, N Lee, J Shin NeurIPS 2021, 2021 | 27 | 2021 |
| A Closer Look at the Intervention Procedure of Concept Bottleneck Models S Shin, Y Jo, S Ahn, N Lee ICML 2023, 2023 | 21 | 2023 |
| A gametheoretic approach to multi-pedestrian activity forecasting WC Ma, DA Huang, N Lee, KM Kitani arXiv preprint arXiv:1604.01431 2, 2016 | 12 | 2016 |
| Understanding the Effects of Data Parallelism and Sparsity on Neural Network Training N Lee, T Ajanthan, PHS Torr, M Jaggi ICLR 2021, 2021 | 7* | 2021 |
| Maskedkd: Efficient distillation of vision transformers with masked images S Son, N Lee, J Lee arXiv preprint arXiv:2302.10494, 2023 | 4 | 2023 |
| JaxPruner: A concise library for sparsity research JH Lee, W Park, NE Mitchell, J Pilault, JSO Ceron, HB Kim, N Lee, ... Conference on Parsimony and Learning, 515-528, 2024 | 3 | 2024 |
| Modeling of Dynamic Environments for Visual Forecasting of American Football Plays N Lee Master's thesis, Carnegie Mellon University Pittsburgh, PA, 2015. 1, 2015 | 3 | 2015 |
| The Effects of Overparameterization on Sharpness-aware Minimization: An Empirical and Theoretical Analysis S Shin, D Lee, M Andriushchenko, N Lee arXiv preprint arXiv:2311.17539, 2023 | 2 | 2023 |
| Fedfwd: Federated learning without backpropagation S Park, D Shin, J Chung, N Lee arXiv preprint arXiv:2309.01150, 2023 | 1 | 2023 |
| Spreme: Sparse regression for multi-environment dynamic systems MJ Park, Y Choi, N Lee, D Kim arXiv preprint arXiv:2302.05942, 2023 | 1 | 2023 |
| Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization S Shin, W Park, J Lee, N Lee arXiv preprint arXiv:2406.15524, 2024 | | 2024 |
| Almost Sure Last Iterate Convergence of Sharpness-Aware Minimization K Nam, J Chung, N Lee | | 2023 |
Philip TorrProfessor, University of Oxford在 eng.ox.ac.uk 的电子邮件经过验证
