Publications

Found 983 results
Author Title [ Type(Desc)] Year
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Conference Paper
Chen, J., Zheng L., Yao Z., Wang D., Stoica I., Mahoney M., et al. (2021).  ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training.
Thomas, K., Bursztein E., Jagpal N., Rajab M. Abu, Provos N., Pearce P., et al. (2015).  Ad Injection at Scale: Assessing Deceptive Advertisement Modifications.
van Heeswijk, M., Miche Y., Lindh-Knuutila T., Hilbers P. A. J., Honkela T., Oja E., et al. (2009).  Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction. 2, 305-314.
Jung, J., Milito R. A., & Paxson V. (2007).  On the Adaptive Real-Time Detection of Fast-Propagating Network Worms. 175-192.
Zhang, L., Michel S.., Nguyen K.., Rosenstein A.., Floyd S., & Jacobson V. (1998).  Adaptive Web Caching: Towards a New Global Caching Architecture. Proceedings of the Third International WWW Caching Workshop.
Nithyanand, R., Khattak S., Javed M., Vallina-Rodriguez N., Falahrastegar M., Powles J. E., et al. (2016).  Adblocking and Counter-Blocking: A Slice of the Arms Race. Proceedings of the 6th USENIX Workshop on Free and Open Communications on the Internet (FOCI '16).
Fàbrega, L., Jové T., Bueno A., & Marzo J. L. (2001).  An Admission Control Approach for Elastic Flows in the Internet. Proceedings of the 9th IFIP Working Conference on Performance Modeling and Evaluation of ATM and IP Networks (IFIP ATM and IP 2001).
Miller, B., Kantchelian A., Afroz S., Bachwani R., Dauber E., Huang L., et al. (2014).  Adversarial Active Learning. Proceedings of the 2014 Workshop on Artificial Intelligent and Security Workshop (AISec '14). 3–14.
Utrera, F., Kravitz E., N. Erichson B., Khanna R., & Mahoney M. (2021).  Adversarially-Trained Deep Nets Transfer Better: Illustration on Image Classification. International Conference on Learning Representations.
Maire, M., Narihira T., & Yu S. X. (2016).  Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
Chandrasekaran, K.., Karp R. M., Moreno-Centeno E.., & Vempala S.. (2011).  Algorithms for Implicit Hitting Set Problems. 614-629.
Ferrandez, O.., Ellsworth M., Muñoz R., & Baker C. F. (2010).  Aligning FrameNet and WordNet Based on Semantic Neighborhoods. 310-314.
Marczak, B., Weaver N., Dalek J., Ensafi R., Fifield D., McKune S., et al. (2015).  An Analysis of China’s “Great Cannon”. Proceedings of the USENIX Workshop on Free and Open Communications on the Internet (FOCI).
Marczak, B., Weaver N., Dalek J., Ensafi R., Fifield D., McKune S., et al. (2015).  An Analysis of China’s “Great Cannon”. Proceedings of the USENIX Workshop on Free and Open Communications on the Internet (FOCI).
Zhang, T.., Yao Z.., Gholami A.., Keutzer K.., Gonzalez J.., Biros G.., et al. (2019).  ANODEV2: A Coupled Neural ODE Evolution Framework. Proceedings of the 2019 NeurIPS Conference.
Gleich, D., & Mahoney M. (2014).  Anti-Differentiating Approximation Algorithms: A Case Study with Min-Cuts, Spectral, and Flow.
Mertens, R., Huang P-S., Gottlieb L., Friedland G., & Divakaran A. (2011).  On the Applicability of Speaker Diarization to Audio Concept Detection for Multimedia Retrieval. 446-451.
Liu, X., Meneghin M., & Shapiro V. (2021).  An application programming interface for multiscale shape-material modeling. Advances in Engineering Software. 161,
Mahoney, M., Rao S., Wang D., & Zhang P. (2016).  Approximating the Solution to Mixed Packing and Covering LPs in parallel time.
Mitzel, D. J., Estrin D., Shenker S. J., & Zhang L. (1994).  An Architectural Comparison of ST-II and RSVP. Proceedings of the 13th IEEE Conference on Networking for Global Communications (INFOCOM '94). 2, 716-725.
Huebsch, R., Chun B., Hellerstein J. M., Loo B. Thau, Maniatis P., Roscoe T., et al. (2005).  The Architecture of PIER: An Internet-Scale Query Processor. Proceedings of Second Biennial Conference on Innovative Data Systems Research (CIDR 2005). 28-43.
Livescu, K., etin Ö. Ç., Hasegawa-Johnson M., King S., Bartels C., Borges N., et al. (2007).  Articulatory Feature-Based Methods for Acoustic and Audio-Visual Speech Recognition: Summary from the 2006 Jhu Summer Workshop.
etin, Ö. Ç., Kantor A., King S., Bartels C., Magimai-Doss M., Frankel J., et al. (2007).  An Articulatory Feature-Based Tandem Approach and Factored Observation Modeling. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2007). 4, 645-648.
Black, A. W., H. Bunnell T., Dou Y., Kumar P., Metze F., Perry D., et al. (2012).  Articulatory Features for Expressive Speech Synthesis.
Plane, A. C., Redmiles E. M., Mazurek M. L., & Tschantz M. Carl (2017).  Assessing user perceptions of online targeted advertising. Proceedings of USENIX Security 2017.

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