Publications

Found 118 results
Author Title [ Type(Desc)] Year
Filters: First Letter Of Title is H  [Clear All Filters]
Book Chapter
Fillmore, C. J. (1994).  The Hard Road from Verbs to Nouns. 105-129.
Bourlard, H., & Morgan N. (1996).  Hybrid Connnectionist Models for Continuous Speech Recognition. 259-283.
Bourlard, H., & Morgan N. (1998).  Hybrid HMM/ANN Systems for Speech Recognition: Overview and New Research Directions. 389-417.
Conference Paper
Pfennigschmidt, S., & Voisard A. (2009).  Handling Temporal Granularity in Mobile Services. 295-300.
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.
Kirkpatrick, B., Rosa J.., Halperin E., & Karp R. M. (2009).  Haplotype Inference in Complex Pedigrees. 108-120.
Efros, A., & Halperin E. (2012).  Haplotype Reconstruction Using Perfect Phylogeny and Sequence Data. 13,
Kirkpatrick, B. (2010).  Haplotypes versus Genotypes on Pedigrees. 136-147.
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.
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.
Vinyals, O., & Friedland G. (2008).  A Hardware-Independent Fast Logarithm Approximation with Adjustable Accuracy. 61-65.
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.
Yao, Z., Dong Z., Zheng Z., Gholami A., Yu J., Tan E., et al. (2021).  HAWQV3: Dyadic Neural Network Quantization.
Vallina-Rodriguez, N., Sundaresan S., Kreibich C., & Paxson V. (2015).  Header Enrichment or ISP Enrichment: Emerging Privacy Threats in Mobile Networks.
Jia, Y., & Darrell T. (2011).  Heavy-Tailed Distances for Gradient Based Image Descriptors.
Martin, C.. H., & Mahoney M. (2020).  Heavy-Tailed Universality Predicts Trends in Test Accuracies for Very Large Pre-Trained Deep Neural Networks. Proceedings of 2020 SDM Conference.
Al-Fares, M.., Radhakrishnan S., Raghavan B., Huang N.., & Vahdat A. (2010).  Hedera: Dynamic Flow Scheduling for Data Center Networks.
Dodge, E., & Wright A. (2002).  Herds of Wildebeest, Flasks of Vodka, Heaps of Trouble: An Embodied Construction Grammar Approach to English Measure Phrases. Proceedings of the 28th Annual Meeting of the Berkeley Linguistics Society.
Weaver, N., Kreibich C., Dam M., & Paxson V. (2014).  Here Be Web Proxies. 8362, 183-192.
Akhawe, D., Amann J., Vallentin M., & Sommer R. (2013).  Here's My Cert, So Trust Me, Maybe? Understanding TLS Errors on the Web.
Yao, Z.., Gholami A.., Lei Q.., Keutzer K.., & Mahoney M. (2018).  Hessian-based Analysis of Large Batch Training and Robustness to Adversaries. Proceedings of the 2018 NeurIPS Conference. 4954-4964.
Coja-Oghlan, A.., Krumke S.. O., & Nierhoff T. (2003).  A Heuristic for the Stacker Crane Problem on Trees Which is Almost Surely Exact. Algorithms and Computation, 14th International Symposium, ISAAC 2003, LNCS 2906. 605-614.
Feldman, M., Chuang J., Stoica I., & Shenker S. J. (2005).  Hidden-Action in Multi-Hop Routing. Proceedings of the 6th ACM Conference on Electronic Commerce (EC'05). 117-126.
Valente, F., Magimai-Doss M., Plahl C., & Ravuri S. (2009).  Hierarchical Processing of the Modulation Spectrum for GALE Mandarin LVCSR System. 2963-2966.
Maire, M., Yu S. X., & Perona P. (2013).  Hierarchical Scene Annotation.

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