Publications

Found 983 results
Author [ Title(Desc)] Type Year
Filters: First Letter Of Last Name is M  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
A
Alpernas, K., Manevich R., Panda A., Sagiv M., Shenker S. J., Shoham S., et al. (2018).  Abstract Interpretation of Stateful Networks. Proceedings of SAS 2018.
Gittens, A.., Rothauge K.., Wang S.., Mahoney M., Gerhardt L.., Prabhat, et al. (2018).  Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist. Proceedings of the 24th Annual SIGKDD. 293-301.
Gittens, A.., Rothauge K.., Wang S.., Mahoney M., Gerhardt L.., Prabhat, et al. (2018).  Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist. Proceedings of the 24th Annual SIGKDD. 293-301.
Andersen, D. G., Balakrishnan H., Feamster N., Koponen T., Moon D., & Shenker S. J. (2008).  Accountable Internet Protocol (AIP). 339-350.
Wooters, C., & Morgan N. (1992).  Acoustic Sub-word Models in the Berkeley Restaurant Project. Proceedings of the International Conference on Spoken Language Processing (ICSLP'92). 1551-1554.
Mertens, R., Lei H., Gottlieb L., Friedland G., & Divakaran A. (2011).  Acoustic Super Models for Large Scale Video Event Detection.
Monteleoni, C.., & Kääriäinen M. (2005).  Active Learning Under Arbitrary Distributions.
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.
Jung, J., Milito R. A., & Paxson V. (2008).  On the Adaptive Real-Time Detection of Fast-Propagating Network Worms. Journal on Computer Virology. 4(1), 197-210.
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).
Moody, J., Shapere A. D., & Wilczek F. (1989).  Adiabatic Effective Lagrangian.
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).
Renals, S., Morgan N., Bourlard H., Cohen M., Franco H., Wooters C., et al. (1991).  Advances in Connectionist Speech Recognition.
[Anonymous] (1991).  Advances in Neural Information Processing Systems 3. (Lippmann, R.., Moody J., & Touretzky D.., Ed.).
[Anonymous] (1992).  Advances in Neural Information Processing Systems 4. (Moody, J., Hanson S.., & Lippmann R.., Ed.).
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.
Mahajan, R., Bellovin S. M., Floyd S., Ioannidis J., Paxson V., & Shenker S. J. (2002).  Aggregate Congestion Control. ACM SIGCOMM Computer Communication Review. 32(1), 69.
Metere, A. (2019).  AI will never conquer humanity. It’s too rational. Cosmos Magazine.

Pages