| Self-taught learning: transfer learning from unlabeled data R Raina, A Battle, H Lee, B Packer, AY Ng Proceedings of the 24th international conference on Machine learning, 759-766, 2007 | 2221 | 2007 |
| Self-paced learning for latent variable models M Kumar, B Packer, D Koller Advances in neural information processing systems 23, 2010 | 1695 | 2010 |
| Nonlinear dimensionality reduction by semidefinite programming and kernel matrix factorization K Weinberger, B Packer, L Saul International Workshop on Artificial Intelligence and Statistics, 381-388, 2005 | 228 | 2005 |
| A segmentation-aware object detection model with occlusion handling T Gao, B Packer, D Koller CVPR 2011, 1361-1368, 2011 | 158 | 2011 |
| A combined pose, object, and feature model for action understanding B Packer, K Saenko, D Koller 2012 IEEE Conference on Computer Vision and Pattern Recognition, 1378-1385, 2012 | 98 | 2012 |
| Cat-gen: Improving robustness in nlp models via controlled adversarial text generation T Wang, X Wang, Y Qin, B Packer, K Li, J Chen, A Beutel, E Chi arXiv preprint arXiv:2010.02338, 2020 | 94 | 2020 |
| Causally motivated shortcut removal using auxiliary labels M Makar, B Packer, D Moldovan, D Blalock, Y Halpern, A D’Amour International Conference on Artificial Intelligence and Statistics, 739-766, 2022 | 71 | 2022 |
| Shape-based object localization for descriptive classification G Heitz, G Elidan, B Packer, D Koller Advances in Neural Information Processing Systems 21, 2008 | 67 | 2008 |
| Max-margin min-entropy models K Miller, MP Kumar, B Packer, D Goodman, D Koller Artificial Intelligence and Statistics, 779-787, 2012 | 46 | 2012 |
| System and method for determining occupancy schedule for controlling a thermostat B Packer, A Fonts, E Shilts, G Chung, RT Curtis US Patent 10,001,792, 2018 | 30 | 2018 |
| Modeling latent variable uncertainty for loss-based learning MP Kumar, B Packer, D Koller arXiv preprint arXiv:1206.4636, 2012 | 26 | 2012 |
| Improving diversity of demographic representation in large language models via collective-critiques and self-voting P Lahoti, N Blumm, X Ma, R Kotikalapudi, S Potluri, Q Tan, H Srinivasan, ... arXiv preprint arXiv:2310.16523, 2023 | 19 | 2023 |
| Energy usage alerts for a climate control device B Packer, A Fonts US Patent 10,019,739, 2018 | 16 | 2018 |
| A unified contour-pixel model for figure-ground segmentation B Packer, S Gould, D Koller Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 15 | 2010 |
| Flexible text generation for counterfactual fairness probing Z Fryer, V Axelrod, B Packer, A Beutel, J Chen, K Webster arXiv preprint arXiv:2206.13757, 2022 | 13 | 2022 |
| Thermostat set point identification E Shilts, Y Ben-Meshulam, B Packer, RT Curtis US Patent 9,727,063, 2017 | 10 | 2017 |
| Mid-level features improve recognition of interactive activities K Saenko, B Packer, CY Chen, S Bandla, Y Lee, Y Jia, JC Niebles, ... arXiv preprint arXiv:1912.06992 2, 2012 | 10 | 2012 |
| Convex point estimation using undirected bayesian transfer hierarchies G Elidan, B Packer, G Heitz, D Koller arXiv preprint arXiv:1206.3252, 2012 | 10 | 2012 |
| Can we improve model robustness through secondary attribute counterfactuals? A Balashankar, X Wang, B Packer, N Thain, E Chi, A Beutel Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 8 | 2021 |
| Text embeddings contain Bias. Here’s why that matters B Packer, Y Halpern, M Guajardo-Céspedes, M Mitchell Google AI, 2018 | 7 | 2018 |
