Publications

Found 469 results
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Hendricks, L. Anne, Venugopalan S., Rohrbach M., Mooney R., Saenko K., & Darrell T. (2016).  Deep Compositional Captioning: Describing Novel Object Categories Without Paired Training Data. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 1-10.
Andreas, J., Rohrbach M., Darrell T., & Klein D. (2016).  Deep compositional question answering with neural module networks. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
Gao, Y., Hendricks L. Anne, Kuchenbecker K. J., & Darrell T. (2016).  Deep learning for tactile understanding from visual and haptic data. IEEE International Conference on Robotics and Automation (ICRA). 536-543.
Dodge, E. (2016).  A deep semantic corpus-based approach to metaphor analysis: A case study of metaphoric conceptualizations of poverty. MetaNet, Special Issue of Constructions and Frames. 8(2), 
Finn, C., Tan X. Yu, Duan Y., Darrell T., Levine S., & Abbeel P. (2016).  Deep spatial autoencoders for visuomotor learning. IEEE International Conference on Robotics and Automation (ICRA). 512-519.
Finn, C., Tan X. Yu, Duan Y., Darrell T., Levine S., & Abbeel P. (2016).  Deep spatial autoencoders for visuomotor learning. IEEE International Conference on Robotics and Automation (ICRA). 512-519.
Zhang, N., Farrell R., Iandola F., & Darrell T. (2013).  Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction.
Girshick, R., Iandola F., Darrell T., & Malik J. (2015).  Deformable Part Models are Convolutional Neural Networks. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 437-446.
Iandola, F., Moskewicz M., Karayev S., Girshick R., Darrell T., & Keutzer K. (2014).  DenseNet: Implementing Efficient ConvNet Descriptor Pyramids.
Althoff, T., Song H. Oh, & Darrell T. (2012).  Detection Bank: An Object Detection Based Video Representation for Multimedia Event Recognition.
Hoffman, J., Pathak D., Darrell T., & Saenko K. (2015).  Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2883-2891.
[Anonymous] (2001).  Developments in Forecast Combination and Portfolio Choice. (Dunis, C.., Timmermann A.., & Moody J., Ed.).
Tschantz, M. Carl, Sen S., & Datta A. (2017).  Differential Privacy as a Causal Property.
Hoffman, J., Saenko K., Kulis B., & Darrell T. (2012).  Discovering Latent Domains for Multisource Domain Adaptation. 702-715.
Zaharia, M., Das T., Li H., Hunter T., Shenker S. J., & Stoica I. (2012).  Discretized Streams: A Fault-Tolerant Model for Scalable Stream Processing.
Zaharia, M., Das T., Li H., Shenker S. J., & Stoica I. (2012).  Discretized Streams: An Efficient and Fault-Tolerant Model for Stream Processing on Large Clusters. 1-6.
Vinyals, O., Deng L., Yu D., & Acero A. (2009).  Discriminative Pronunciation Learning Using Phonetic Decoder and Minimum-Classification-Error Criterion. 4445-4448.
Girshick, R., Song H. Oh, & Darrell T. (2013).  Discriminatively Activated Sparselets.
Derezinski, M.., & Mahoney M. (2019).  Distributed estimation of the inverse Hessian by determinantal averaging. Proceedings of the 2019 NeurIPS Conference.
Tangmunarunkit, H., Doyle J., Govindan R., Jamin S., Shenker S. J., & Willinger W. (2001).  Does AS Size Determine Degree in AS Topology?. ACM Computer Communication Review. 31(5), 7-10.
Dreger, H., Feldmann A., Mai M.., Paxson V., & Sommer R. (2006).  Dynamic Application-Layer Protocol Analysis for Network Intrusion Detection. Proceedings of the 15th USENIX Security Symposium (Security '06).
Yeh, T., & Darrell T. (2008).  Dynamic Visual Category Learning.

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