Publications

Found 4258 results
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Conference Paper
Liu, J., Shenker S. J., Schapira M., & Yang B. (2011).  Data-Driven Network Connectivity. 1-6.
Shire, M. Lee, & Chen B. Y. (2000).  Data-driven RASTA Filters in Reverberation. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2000).
Choi, J., & Friedland G. (2011).  Data-Driven vs. Semantic-Technology-Driven Tag-Based Video Location Estimation. 243-246.
Choi, J., & Friedland G. (2011).  Data-Driven vs. Semantic-Technology-Driven Tag-Based Video Location Estimation. 243-246.
Koponen, T., Chawla M., Chun B-G., Ermolinskiy A., Kim K. Hyun, Shenker S. J., et al. (2007).  A Data-Oriented (and Beyond) Network Architecture. 181-192.
Rohrbach, A., Rohrbach M., Tandon N., & Schiele B. (2015).  A Dataset for Movie Description.
Kramer, O., & Danielsiek H.. (2010).  DBSCAN-Based Multi-Objective Niching to Approximate Equivalent Pareto-Subsets. 503-510.
Walfish, M., Vutukuru M., Balakrishnan H., Karger D. R., & Shenker S. J. (2006).  DDoS Defense by Offense. Proceedings of ACM Special Interest Group on Data Communications Conference (SIGCOMM 2006). 303-314.
Donahue, J., Jia Y., Vinyals O., Hoffman J., Zhang N., Tzeng E., et al. (2014).  DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition.
Tavakoli, A., Chu D., Hellerstein J. M., Levis P., & Shenker S. J. (2007).  A Declarative Sensornet Architecture. 55-60.
Barker, J., Cooke M. P., & Ellis D. P. W. (2000).  Decoding Speech in the Presence of Other Sound Sources. Proceedings of the 6th International Conference on Spoken Language Processing (ICSLP 2000).
Fritz, M., & Schiele B. (2008).  Decomposition, Discovery, and Detection of Visual Categories Using Topic Models.
Alizadeh, M., Yang S., Katti S., McKeown N., Prabhakar B., & Shenker S. J. (2012).  Deconstructing Datacenter Packet Transport. 133-138.
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).
Yu, S. X., & Zipser K. (2016).  A Deep Neural Net Trained for Person Categorization Develops Both Detailed Local Features and Broad Contexual Specificities. Poster at Vision Sciences Society Annual Meeting.
Vinyals, O., & Morgan N. (2013).  Deep vs. Wide: Depth on a Budget for Robust Speech Recognition.
McCauley, M., Zhao M., Jackson E. J., Raghavan B., Ratnasamy S., & Shenker S. J. (2016).  The Deforestation of L2.
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.
Zaharia, M., Borthakur D., Sarma J. Sen, Elmeleegy K., Shenker S. J., & Stoica I. (2010).  Delay Scheduling: A Simple Technique for Achieving Locality and Fairness in Cluster Scheduling. 265-278.
Fernández-Iglesias, M. J., Pavón-Marino P., Rodríguez J.., Rifon L. Anido, & Llamas-Nistal M. (2000).  DelfosnetX: A Workbench for XML-Based Information Retrieval Systems. Proceedings of the 7th International Symposium on String Processing and Information Retrieval. 87-95.
Luo, Z., Fu S., Theis M., Hasan S., Ratnasamy S., & Shenker S. (2021).  Democratizing cellular access with CellBricks. SIGCOMM '21: Proceedings of the 2021 ACM SIGCOMM 2021 Conference.
Rosario, B., Hearst M. A., & Fillmore C. J. (2002).  The Descent of Hierarchy, and Selection in Relational Semantics. Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL 2002). 247-254.
Thomas, K., Grier C., Ma J., Paxson V., & Song D. (2011).  Design and Evaluation of a Real-Time URL Spam Filtering Service. 447-464.

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