Publications

Found 4183 results
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2019
Martin, C.. H., & Mahoney M. W. (2019).  Statistical Mechanics Methods for Discovering Knowledge from Modern Production Quality Neural Networks. Proceedings of the 25th Annual SIGKDD. 3239-3240.
Roosta-Khorasani, F.., & Mahoney M. W. (2019).  Sub-Sampled Newton Methods. Mathematical Programming. 293-326.
Ye, Z., Choi J., & Friedland G. (2019).  Supervised Deep Hashing for Highly Efficient Cover Song Detection. Proceedings of the 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR).
Ye, Z., Choi J., & Friedland G. (2019).  Supervised Deep Hashing for Highly Efficient Cover Song Detection. Proceedings of the 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR).
Chakraborty, R., Wang J., & Yu S. X. (2019).  SurReal: Fr'echet Mean and Distance Transform for Complex-Valued Deep Learning. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
Luby, M. (2019).  Systems and methods for storing, maintaining, and accessing objects in storage system clusters. US Patent 10,191,808.
Vallina, P.., Feal Á., Gamba J.., Vallina-Rodriguez N., & Anta A.F.. (2019).  Tales From the Porn: A Comprehensive Privacy Analysis of the Web Porn Ecosystem. Proceedings of the Internet Measurement Conference. 245-258.
McCauley, J., Panda A., Krishnamurthy A., & Shenker S. (2019).  Thoughts on Load Distribution and the Role of Programmable Switches. Newsletter of ACM SIGCOMM Computer Communication Review. 49(1), 18-23.
Wang, R., & Shapiro V. (2019).  Topological semantics for lumped parameter systems modeling. Advanced Engineering Informatics. 42,
Martin, C.. H., & Mahoney M. W. (2019).  Traditional and Heavy-Tailed Self Regularization in Neural Network Models. Proceeding of the 36th ICML Conference. 4284-4293.
Yao, Z.., Gholami A.., Xu P.., Keutzer K.., & Mahoney M.. W. (2019).  Trust Region Based Adversarial Attack on Neural Networks. Proceedings of the 32nd CVPR Conference. 11350-11359.
Malkin, N., Deatrick J., Tong A., Wijesekera P., Wagner D., & Egelman S. (2019).  Uninformed but Unconcerned: Privacy Attitudes of Smart Speaker Users. Proceedings on Privacy Enhancing Technologies (PoPETS), 2019.
QasemiZadeh, B., Petruck M. R. L., Kallmeyer L., Candito M., Maldonado A., Osswald R., et al. (2019).  Unsupervised Lexical Semantic Frame Induction: A SemEval 2019 Task Proposal.
Sap, D., & Shapiro V. (2019).  On Verification of Interoperability of CAD Systems with a Focus on Invariant Properties. Computer-Aided Design. 115, 256-266.
Pan, X., Chakraborty R., & Yu S. X. (2019).  Visual Similarity from Optimizing Feature and Memory On A Hypersphere. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition .
Hayes, D. (2019).  What just happened? Evaluating retrofitted distributional word vectors. Proceedings of the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT).
2020
Gamba, J.., Rashed M.., Razaghpanah A., Vallina-Rodriguez N., & Tapiador J.. (2020).  An Analysis of Pre-Installed Android Software. IEEE Sympsium on Security and Privacy 2020.
Zhao, T., Choi J., & Friedland G. (2020).  DIME: An Online Tool for the Visual Comparison of Cross-modal Retrieval Models. International Conference on Multimedia Modeling. 729-733.
Martin, C.. H., & Mahoney M. W. (2020).  Heavy-Tailed Universality Predicts Trends in Test Accuracies for Very Large Pre-Trained Deep Neural Networks. Proceedings of 2020 SDM Conference.
Ma, L.., Montague G.., Ye J.., Yao Z.., Gholami A.., Keutzer K.., et al. (2020).  Inefficiency of K-FAC for Large Batch Size Training. Proceedings of the AAAI-20 Conference.
Reardon, J., Good N., Richter R., Vallina-Rodriguez N., Egelman S., & Palfrey Q. (2020).  JPush Away Your Privacy: A Case Study of Jiguang’s Android SDK.
Ronen, T.., Shani C.., Hope T.., Petruck M.. R. L., Abend O., & Shahaf D. (2020).  Language (Re)modelling: Towards Embodied Language Understanding. Proceedings of the Association for Computational Linguistics . 58, 6268–6281.
Torrent, TT., Baker CF., Czulo O., Ohara K., & Petruck M.. R. L. (2020).  Proceedings of the LREC International FrameNet Workshop 2020: Towards a Global, Multilingual FrameNet.
Shen, S.., Dong Z.., Ye J.., Ma L.., Yao Z.., Gholami A.., et al. (2020).  Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT. Proceedings of the AAAI-20 Conference.
N. Erichson, B., Mathelin L., Yao Z., Bruntonq S. L., Mahoney M., & J. Kutz N. (2020).  Shallow neural networks for fluid flow reconstruction with limited sensors. Proceedings of the Royal Society A. 476(2238), 

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