Ben Packer
Ben Packer
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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
Self-paced learning for latent variable models
M Kumar, B Packer, D Koller
Advances in neural information processing systems 23, 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
A segmentation-aware object detection model with occlusion handling
T Gao, B Packer, D Koller
CVPR 2011, 1361-1368, 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
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
Shape-based object localization for descriptive classification
G Heitz, G Elidan, B Packer, D Koller
Advances in Neural Information Processing Systems 21, 2008
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
Max-margin min-entropy models
K Miller, MP Kumar, B Packer, D Goodman, D Koller
Artificial Intelligence and Statistics, 779-787, 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
Modeling latent variable uncertainty for loss-based learning
MP Kumar, B Packer, D Koller
arXiv preprint arXiv:1206.4636, 2012
Energy usage alerts for a climate control device
B Packer, A Fonts
US Patent 10,019,739, 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
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
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
Thermostat set point identification
E Shilts, Y Ben-Meshulam, B Packer, RT Curtis
US Patent 9,727,063, 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
Convex point estimation using undirected bayesian transfer hierarchies
G Elidan, B Packer, G Heitz, D Koller
arXiv preprint arXiv:1206.3252, 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
Text embeddings contain Bias. Here’s why that matters
B Packer, Y Halpern, M Guajardo-Céspedes, M Mitchell
Google AI, 2018
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