Publications

Found 1117 results
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Conference Paper
Sharan, R., Sutharan S., Kelley R. M., Kuhn T., McCuine S., Sittler T., et al. (2005).  Conserved Patterns of Protein Interaction in Multiple Species. Proceedings of National Academy of Science. 102(6), 1974-1979.
Sharan, R., Sutharan S., Kelley R. M., Kuhn T., McCuine S., Sittler T., et al. (2005).  Conserved Patterns of Protein Interaction in Multiple Species. Proceedings of National Academy of Science. 102(6), 1974-1979.
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.
Fasulo, D., Jiang T., Karp R. M., & Sharma N. (1998).  Constructing Maps Using the Span and Inclusion Relations. RECOMB 98. Proceedings of the Second Annual International Conference on Computational Molecular Biology. 64-73.
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.
Lee, J. W., King M.., & Asanović K. (2007).  Continual Hashing for Efficient Fine-Grain State Inconsistency Checking. 33-40.
Morgan, N., Hermansky H., Bourlard H., Kohn P., & Wooters C. (1991).  Continuous Speech Recognition Using PLP Analysis with Multilayer Perceptrons. Proceedings of IEEE International Conference on Acoustics, Speech & Signal Processing. 49-52.
Lee, Y., Krashinsky R., Grover V., Keckler S. W., & Asanović K. (2013).  Convergence and Scalarization for Data-Parallel Architectures.
Lee, Y., Krashinsky R., Grover V., Keckler S. W., & Asanović K. (2013).  Convergence and Scalarization for Data-Parallel Architectures.
Kulis, B., Sra S., & Dhillon I. (2009).  Convex Perturbations for Scalable Semidefinite Programming. 296-303.
Katz, R. H., Porter G. Manning, Shenker S., Stoica I., & Tsai M. (2005).  COPS: Quality of Service Vs. Any Service at All. Proceedings of the 13th International Workshop on Quality of Service 2005 (IWQoS 2005). 3-15.
Bansal, M., & Klein D. (2012).  Coreference Semantics from Web Features.
Popa, L., Ratnasamy S., Iannaccone G., Krishnamurthy A., & Stoica I. (2010).  A Cost Comparison of Datacenter Network Architectures.
C. Christoudias, M., Urtasun R., Kapoor A., & Darrell T. (2009).  Co-Training with Noisy Perceptual Observations. 2844-2851.
Sharan, R., Ovcharenko I., Ben-Hur A., & Karp R. M. (2003).  CRÈME: A Framework for Identifying Cis-Regulatory Modules in Human-Mouse Conserved Segments. Proceedings of the Eleventh International Conference on Intelligent Systems for Molecular Biology (ISMB'03). 1283-1291.
Cook, H., Gonina E., Kamil S., Friedland G., Patterson D., & Fox A. (2011).  CUDA-Level Performance with Python-Level Productivity for Gaussian Mixture Model Applications.
Zaharia, M., Hindman B., Konwinski A., Ghodsi A., Joseph A. D., Katz R. H., et al. (2011).  The Datacenter Needs an Operating System. 1-5.
Zaharia, M., Hindman B., Konwinski A., Ghodsi A., Joseph A. D., Katz R. H., et al. (2011).  The Datacenter Needs an Operating System. 1-5.
Shenker, S., Ratnasamy S., Karp B., Govindan R., & Estrin D. (2002).  Data-Centric Storage in Sensornets. Workshop Record of the First Workshop on Hot Topics in Networks (HotNets-I).
Koponen, T., Chawla M., Chun B-G., Ermolinskiy A., Kim K. Hyun, Shenker S., et al. (2007).  A Data-Oriented (and Beyond) Network Architecture. 181-192.
Koponen, T., Chawla M., Chun B-G., Ermolinskiy A., Kim K. Hyun, Shenker S., et al. (2007).  A Data-Oriented (and Beyond) Network Architecture. 181-192.
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. (2006).  DDoS Defense by Offense. Proceedings of ACM Special Interest Group on Data Communications Conference (SIGCOMM 2006). 303-314.
Alizadeh, M., Yang S., Katti S., McKeown N., Prabhakar B., & Shenker S. (2012).  Deconstructing Datacenter Packet Transport. 133-138.
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).

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