Publications

Found 469 results
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Hoffman, J., Gupta S., Leong J., Guadarrama S., & Darrell T. (2016).  Cross-modal adaptation for RGB-D detection. IEEE International Conference on Robotics and Automation (ICRA). 5032-5039.
C. Christoudias, M., Urtasun R., Kapoor A., & Darrell T. (2009).  Co-Training with Noisy Perceptual Observations.
C. Christoudias, M., Urtasun R., Kapoor A., & Darrell T. (2009).  Co-Training with Noisy Perceptual Observations. 2844-2851.
Dokas, P., Jones K., Kasza A., Nadji Y., & Paxson V. (2021).  Corelight Sensors detect the ChaChi RAT. Security Boulevard.
Zheng, X., Jiang J., Liang J., Duan H., Chen S.., Wan T., et al. (2015).  Cookies Lack Integrity: Real-World Implications. 707-721.
Kulis, B., Sra S., & Dhillon I. (2009).  Convex Perturbations for Scalable Semidefinite Programming. 296-303.
Medina, A., Salamatian K., Taft N., Matta I., Tsang Y., & Diot C. (2003).  On the Convergence of Statistical Techniques for Estimating Network Traffic Demands.
Hoffman, J., Darrell T., & Saenko K. (2014).  Continuous Manifold Based Adaptation for Evolving Visual Domains.
Pathak, D., Krahenbuhl P., Donahue J., Darrell T., & Efros A. A. (2016).  Context Encoders: Feature Learning by Inpainting. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2536-2544.
Pathak, D., Krahenbuhl P., Donahue J., Darrell T., & Efros A. A. (2016).  Context Encoders: Feature Learning by Inpainting. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2536-2544.
Di Gesu, V., & Isgro F. (1995).  Context and Vision.
Cleve, R., & Dagum P. (1989).  A Constructive Omega(t(superscript 1.26)) Lower Bound for the Ramsey Number R (3,t).
Dodge, E., Sweetser E., David O., Hong J., & Stickles E. (2014).  Constructions and Metaphor: Integrating MetaNet and Embodied Construction Grammar.
Dodge, E., Sweetser E., David O., Hong J., & Stickles E. (2014).  Constructions and Metaphor: Integrating MetaNet and Embodied Construction Grammar.
Stickles, E., Dodge E., & Hong J. (2014).  A Construction-Driven, MetaNet-Based Approach to Metaphor Extraction and Corpus Analysis.
Dunietz, J., Levin L., & Petruck M. R. L. (2017).  Construction Detection in a Conventional NLP Pipeline. Proceedings of the AAAI 2017 Spring Symposium on Computational Construction Grammar and Natural Language Understanding. 178-184.
de Melo, G., & Weikum G. (2012).  Constructing and Utilizing Wordnets using Statistical Methods. Journal of Language Resources and Evaluation. 46(2), 287-311.
Pathak, D., Kraehenbuehl P., Yu S. X., & Darrell T. (2015).  Constrained Structured Regression with Convolutional Neural Networks. CoRR. abs/1511.07497,
Pathak, D., Krahenbuhl P., & Darrell T. (2015).  Constrained Convolutional Neural Networks for Weakly Supervised Segmentation. The IEEE International Conference on Computer Vision (ICCV). 1796-1804.
Zhang, Y., Duffield N., Paxson V., & Shenker S. J. (2001).  On the Constancy of Internet Path Properties. Proceedings of the 1st ACM SIGCOMM Internet Measurement Workshop (IMW '01). 197-211.
Pauls, A., DeNero J., & Klein D. (2009).  Consensus Training for Consensus Decoding in Machine Translation. 1418-1427.
Baswana, S., Biswas S., Doerr B., Friedrich T., Kurur P., & Neumann F. (2009).  Computing Single Source Shortest Paths Using Single-Objective Fitness Functions. 59-66.
Dahlhaus, E., & Karpinski M. (1994).  On the Computational Complexity of Matching on Chordal and Strongly Chordal Graphs.
Karpinski, M., & der Heide F. Meyer auf (1990).  On the Complexity of Genuinely Polynomial Computation.
Marchini, J., Cutler D., Patterson N., Stephens M., Eskin E., Halperin E., et al. (2006).  A Comparison of Phasing Algorithms for Trios and Unrelated Individuals. American Journal of Human Genetics. 78(3), 437-450.

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