| Deep Ensembles: A Loss Landscape Perspective S Fort, H Hu, B Lakshminarayanan arXiv preprint arXiv:1912.02757, 2019 | 666 | 2019 |
| Plex: Towards reliability using pretrained large model extensions D Tran, J Liu, MW Dusenberry, D Phan, M Collier, J Ren, K Han, Z Wang, ... arXiv preprint arXiv:2207.07411, 2022 | 117 | 2022 |
| Wide Neural Networks Forget Less Catastrophically SI Mirzadeh, A Chaudhry, H Hu, R Pascanu, D Gorur, M Farajtabar arXiv preprint arXiv:2110.11526, 2021 | 65 | 2021 |
| A method based on total variation for network modularity optimization using the MBO scheme H Hu, T Laurent, MA Porter, AL Bertozzi SIAM Journal on Applied Mathematics 73 (6), 2224-2246, 2013 | 62 | 2013 |
| Multi-class graph Mumford-Shah model for plume detection using the MBO scheme H Hu, J Sunu, AL Bertozzi International Workshop on Energy Minimization Methods in Computer Vision and …, 2015 | 58 | 2015 |
| End-to-end interpretation of the french street name signs dataset R Smith, C Gu, DS Lee, H Hu, R Unnikrishnan, J Ibarz, S Arnoud, S Lin European Conference on Computer Vision, 411-426, 2016 | 55 | 2016 |
| Information-theoretic Online Memory Selection for Continual Learning S Sun, D Calandriello, H Hu, A Li, M Titsias International Conference on Learning Representations, 2021 | 49 | 2021 |
| Deep Ensembles: A Loss Landscape Perspective. arXiv 2019 S Fort, H Hu, B Lakshminarayanan arXiv preprint arXiv:1912.02757, 1912 | 37 | 1912 |
| Cross-View Policy Learning for Street Navigation A Li, H Hu, P Mirowski, M Farajtabar Proceedings of the IEEE International Conference on Computer Vision, 8100-8109, 2019 | 33 | 2019 |
| Multislice modularity optimization in community detection and image segmentation H Hu, Y van Gennip, B Hunter, AL Bertozzi, MA Porter 2012 IEEE 12th International Conference on Data Mining Workshops, 934-936, 2012 | 22 | 2012 |
| Task-agnostic continual learning with hybrid probabilistic models P Kirichenko, M Farajtabar, D Rao, B Lakshminarayanan, N Levine, A Li, ... arXiv preprint arXiv:2106.12772, 2021 | 20 | 2021 |
| One Pass ImageNet H Hu, A Li, D Calandriello, D Gorur arXiv preprint arXiv:2111.01956, 2021 | 17 | 2021 |
| Task-driven dictionary learning for inpainting H Hu, B Wohlberg, R Chartrand 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 16 | 2014 |
| Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems TA Mann, S Gowal, A Gyorgy, H Hu, R Jiang, B Lakshminarayanan, ... International Conference on Machine Learning, 4324-4332, 2019 | 13 | 2019 |
| Learning from delayed outcomes with intermediate observations TA Mann, S Gowal, R Jiang, H Hu, B Lakshminarayanan, A Gyorgy arXiv preprint arXiv:1807.09387, 2018 | 10 | 2018 |
| Geosocial graph-based community detection Y van Gennip, H Hu, B Hunter, MA Porter 2012 IEEE 12th International Conference on Data Mining Workshops, 754-758, 2012 | 10 | 2012 |
| Plex: towards reliability using pretrained large model extensions (2022) D Tran, J Liu, MW Dusenberry, D Phan, M Collier, J Ren, K Han, Z Wang, ... URL https://arxiv. org/abs/2207.07411, 0 | 8 | |
| An incremental reseeding strategy for clustering X Bresson, H Hu, T Laurent, A Szlam, J von Brecht International Conference on Imaging, Vision and Learning based on …, 2016 | 6 | 2016 |
| Morse Neural Networks for Uncertainty Quantification B Dherin, H Hu, J Ren, MW Dusenberry, B Lakshminarayanan arXiv preprint arXiv:2307.00667, 2023 | 4 | 2023 |
| Graph based models for unsupervised high dimensional data clustering and network analysis H Hu CALIFORNIA UNIV LOS ANGELES DEPT OF MATHEMATICS, 2015 | 3 | 2015 |
