Publications

Found 4258 results
Author Title [ Type(Asc)] Year
Conference Paper
Jia, Y., & Darrell T. (2011).  Heavy-Tailed Distances for Gradient Based Image Descriptors.
Vallina-Rodriguez, N., Sundaresan S., Kreibich C., & Paxson V. (2015).  Header Enrichment or ISP Enrichment: Emerging Privacy Threats in Mobile Networks.
Yao, Z., Dong Z., Zheng Z., Gholami A., Yu J., Tan E., et al. (2021).  HAWQV3: Dyadic Neural Network Quantization.
Dong, Z.., Yao Z.., Gholami A.., Mahoney M., & Keutzer K.. (2019).  HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision. Proceedings of ICCV 2019.
Vinyals, O., & Friedland G. (2008).  A Hardware-Independent Fast Logarithm Approximation with Adjustable Accuracy. 61-65.
Cook, H., Moretó M., Bird S., Dao K., Patterson D., & Asanović K. (2013).  A Hardware Evaluation of Cache Partitioning to Improve Utilization and Energy-Efficiency while Preserving Responsiveness.
Feigenbaum, J., Krishnamurthy A., Sami R., & Shenker S. J. (2002).  Hardness Results for Multicast Cost Sharing. Proceedings of the IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2002). 133-144.
Kirkpatrick, B. (2010).  Haplotypes versus Genotypes on Pedigrees. 136-147.
Efros, A., & Halperin E. (2012).  Haplotype Reconstruction Using Perfect Phylogeny and Sequence Data. 13,
Kirkpatrick, B., Rosa J.., Halperin E., & Karp R. M. (2009).  Haplotype Inference in Complex Pedigrees. 108-120.
Halperin, E., & Hazan E. (2005).  Haplofreq - Estimating Haplotype Frequencies Efficiently. Proceedings of the 9th Annual International Conference on Research in Computational Molecular Biology (RECOMB'05). 553-568.
Pfennigschmidt, S., & Voisard A. (2009).  Handling Temporal Granularity in Mobile Services. 295-300.
Freedman, M. J., Stoica I., Mazieres D.., & Shenker S. J. (2006).  Group Therapy for Systems: Using link attestations to manage failures. Proceedings of the Fifth International Workshop on Peer-to-Peer Systems (IPTPS 2006).
Guadarrama, S., Riano L., Golland D., Göhring D., Jia Y., Klein D., et al. (2013).  Grounding Spatial Relations for Human-Robot Interaction.
Chang, N., & Maia T.. (2001).  Grounded learning of grammatical constructions. Proceedings of the Association for the Advancement of Artificial Intelligence 2001 Spring Symposium on Learning Grounded Representations.
Sun, B., Peng X., Yu S. X., & Saenko K. (2017).  Ground2Sky Label Transfer for Fine-grained Aerial Car Recognition. Proceedings of the International Conference on Image Processing 2017.
Weinrib, A., & Shenker S. J. (1988).  Greed is Not Enough: Adaptive Load Sharing in Large Heterogeneous Systems. Proceedings of the Seventh Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE INFOCOM '88). 986-994.
Celikyilmaz, A., & Hakkani-Tür D. (2010).  A Graph-Based Semi-Supervised Learning for Question Semantic Labeling. 27-35.
Ferrandez, O.., Ellsworth M., Muñoz R., & Baker C. F. (2010).  A Graph-Based Measure of FrameNet-WordNet Alignment. Proceedings of the Second International Conference on Global Interoperability for Language Resources (ICGL 2010).
Gusfield, D., Karp R. M., Lusheng W.., & Stelling P. (1996).  Graph Traversals, Genes, and Matroids: An Efficient Case of the Travelling Salesman Problem. Combinatorial Pattern Matching. 7th Annual Symposium, CPM 96. 304-319.
Dodge, E., Trott S., Gilardi L., & Stickles E. (2017).  Grammar Scaling: Leveraging FrameNet Data to Increase Embodied Construction Grammar Coverage. Proceedings of the AAAI 2017 Spring Symposium on Computational Construction Grammar and Natural Language Understanding.
Kreibich, C., Weaver N., Kanich C., Cui W., & Paxson V. (2011).  GQ: Practical Containment for Measuring Modern Malware Systems.
Maas, M., Reames P., Morlan J., Asanović K., Joseph A. D., & Kubiatowicz J. D. (2012).  GPUs: An Opportunity for Offloading Garbage Collection.
Kylasa, S.. B., Roosta-Khorasani F.., Mahoney M., & Grama A.. (2019).  GPU Accelerated Sub-Sampled Newton's Method. Proceedings of the 2019 SDM Conference. 702-710.
de Melo, G., & Bansal M. (2013).  Good, Great, Excellent: Global Inference of Lexical Intensities.

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