| NISP: Pruning networks using neuron importance score propagation R Yu, A Li, CF Chen, JH Lai, VI Morariu, X Han, M Gao, CY Lin, LS Davis IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018, 2018 | 821 | 2018 |
| Improved Knowledge Distillation via Teacher Assistant SI Mirzadeh, M Farajtabar, A Li, H Ghasemzadeh AAAI 2020, 2020 | 697 | 2020 |
| Visual relationship detection with internal and external linguistic knowledge distillation R Yu, A Li, VI Morariu, LS Davis International Conference on Computer Vision (ICCV) 2017, 2017 | 329 | 2017 |
| Orthogonal Gradient Descent for Continual Learning M Farajtabar, N Azizan, A Mott, A Li AISTATS 2020, 2020 | 179 | 2020 |
| Dynamic zoom-in network for fast object detection in large images M Gao, R Yu, A Li, VI Morariu, LS Davis IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018, 2018 | 149 | 2018 |
| Eta prediction with graph neural networks in google maps A Derrow-Pinion, J She, D Wong, O Lange, T Hester, L Perez, ... Proceedings of the 30th ACM International Conference on Information …, 2021 | 118 | 2021 |
| Hybrid Models for Open Set Recognition H Zhang, A Li, J Guo, Y Guo ECCV 2020, 2020 | 118 | 2020 |
| Towards unified data and lifecycle management for deep learning H Miao, A Li, LS Davis, A Deshpande 2017 IEEE 33rd International Conference on Data Engineering (ICDE), 571-582, 2017 | 113 | 2017 |
| C-WSL: Count-guided weakly supervised localization M Gao, A Li, R Yu, VI Morariu, LS Davis European Conference on Computer Vision (ECCV), 2018 | 97 | 2018 |
| Learning visual n-grams from web data A Li, A Jabri, A Joulin, L van der Maaten International Conference on Computer Vision (ICCV) 2017, 2017 | 95 | 2017 |
| The ava-kinetics localized human actions video dataset A Li, M Thotakuri, DA Ross, J Carreira, A Vostrikov, A Zisserman arXiv preprint arXiv:2005.00214, 2020 | 90 | 2020 |
| Physgan: Generating physical-world-resilient adversarial examples for autonomous driving Z Kong, J Guo, A Li, C Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 78 | 2020 |
| SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-task Learning J Ma, Z Zhao, J Chen, A Li, L Hong, EH Chi AAAI Conference on Artificial Intelligence (AAAI), 2019 | 75 | 2019 |
| Modelhub: Deep learning lifecycle management H Miao, A Li, LS Davis, A Deshpande 2017 IEEE 33rd International Conference on Data Engineering (ICDE), 1393-1394, 2017 | 60 | 2017 |
| A Generalized Framework for Population Based Training A Li, O Spyra, S Perel, V Dalibard, M Jaderberg, C Gu, D Budden, ... KDD 2019, 2019 | 59 | 2019 |
| Learning to Incentivize Other Learning Agents J Yang, A Li, M Farajtabar, P Sunehag, E Hughes, H Zha NeurIPS 2020, 2020 | 42 | 2020 |
| Object tracking using learned feature manifolds Y Guo, Y Chen, F Tang, A Li, W Luo, M Liu Computer Vision and Image Understanding (CVIU) 118, 128-139, 2014 | 35 | 2014 |
| Generating holistic 3D scene abstractions for text-based image retrieval A Li, J Sun, JYH Ng, R Yu, VI Morariu, LS Davis IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017, 2017 | 33 | 2017 |
| Optimization and generalization of regularization-based continual learning: a loss approximation viewpoint D Yin, M Farajtabar, A Li, N Levine, A Mott arXiv preprint arXiv:2006.10974, 2020 | 26* | 2020 |
| Aeva: Black-box backdoor detection using adversarial extreme value analysis J Guo, A Li, C Liu arXiv preprint arXiv:2110.14880, 2021 | 24 | 2021 |
Larry DavisProfessor of Computer Science, University of MarylandVerified email at cs.umd.edu
