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Exact Acceleration of K-Means++ and K-Means$\|$


May 06, 2021
Edward Raff

* to appear in the 30th International Joint Conference on Artificial Intelligence (IJCAI-21) 

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Semiring Primitives for Sparse Neighborhood Methods on the GPU


Apr 13, 2021
Corey J. Nolet, Divye Gala, Edward Raff, Joe Eaton, Brad Rees, John Zedlewski, Tim Oates


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Accounting for Variance in Machine Learning Benchmarks


Mar 01, 2021
Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Naz Sepah, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Dmitriy Serdyuk, Tal Arbel, Chris Pal, Gaël Varoquaux, Pascal Vincent

* Submitted to MLSys2021 

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Research Reproducibility as a Survival Analysis


Dec 17, 2020
Edward Raff

* To appear in AAAI 2021 

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Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection


Dec 17, 2020
Edward Raff, William Fleshman, Richard Zak, Hyrum S. Anderson, Bobby Filar, Mark McLean

* To appear in AAAI 2021 

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Sampling Approach Matters: Active Learning for Robotic Language Acquisition


Nov 16, 2020
Nisha Pillai, Edward Raff, Francis Ferraro, Cynthia Matuszek

* To appear in IEEE Big Data 2020 

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Getting Passive Aggressive About False Positives: Patching Deployed Malware Detectors


Oct 22, 2020
Edward Raff, Bobby Filar, James Holt

* to appear in IEEE International Conference on Data Mining Workshop (ICDM) on Deep Learning for Cyber Threat Intelligence (DL-CTI) 

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The Use of AI for Thermal Emotion Recognition: A Review of Problems and Limitations in Standard Design and Data


Sep 22, 2020
Catherine Ordun, Edward Raff, Sanjay Purushotham

* Presented at AAAI FSS-20: Artificial Intelligence in Government and Public Sector, Washington, DC, USA 

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Automatic Yara Rule Generation Using Biclustering


Sep 06, 2020
Edward Raff, Richard Zak, Gary Lopez Munoz, William Fleming, Hyrum S. Anderson, Bobby Filar, Charles Nicholas, James Holt

* to be published in the 13th ACM Workshop on Artificial Intelligence and Security (AISec) 

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COVID-19 Kaggle Literature Organization


Sep 02, 2020
Maksim Ekin Eren, Nick Solovyev, Edward Raff, Charles Nicholas, Ben Johnson

* Maksim Ekin Eren, Nick Solovyev, Edward Raff, Charles Nicholas, and Ben Johnson. 2020. COVID-19 Kaggle Literature Organization. In ACM Sym-posium on Document Engineering 2020 (DocEng 20), September 29-October2, 2020, Virtual Event, CA, USA.ACM, New York, NY, USA, 4 pages. https://doi.org/10.1145/3395027.3419591 

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Practical Cross-modal Manifold Alignment for Grounded Language


Sep 01, 2020
Andre T. Nguyen, Luke E. Richards, Gaoussou Youssouf Kebe, Edward Raff, Kasra Darvish, Frank Ferraro, Cynthia Matuszek


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Bringing UMAP Closer to the Speed of Light with GPU Acceleration


Aug 01, 2020
Corey J. Nolet, Victor Lafargue, Edward Raff, Thejaswi Nanditale, Tim Oates, John Zedlewski, Joshua Patterson


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Presentation and Analysis of a Multimodal Dataset for Grounded LanguageLearning


Jul 31, 2020
Patrick Jenkins, Rishabh Sachdeva, Gaoussou Youssouf Kebe, Padraig Higgins, Kasra Darvish, Edward Raff, Don Engel, John Winder, Francisco Ferraro, Cynthia Matuszek

* 11 pages, 6 figures 

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A Survey of Machine Learning Methods and Challenges for Windows Malware Classification


Jun 15, 2020
Edward Raff, Charles Nicholas


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Exploratory Analysis of Covid-19 Tweets using Topic Modeling, UMAP, and DiGraphs


May 06, 2020
Catherine Ordun, Sanjay Purushotham, Edward Raff


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A New Burrows Wheeler Transform Markov Distance


Dec 30, 2019
Edward Raff, Charles Nicholas, Mark McLean

* To appear in: The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) 

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Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory


Nov 12, 2019
Arash Rahnama, Andre T. Nguyen, Edward Raff


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Would a File by Any Other Name Seem as Malicious?


Oct 10, 2019
Andre T. Nguyen, Edward Raff, Aaron Sant-Miller


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A Step Toward Quantifying Independently Reproducible Machine Learning Research


Sep 14, 2019
Edward Raff

* to appear in Proc. Neural Information Processing Systems (NeurIPS), 2019 

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Heterogeneous Relational Kernel Learning


Aug 24, 2019
Andre T. Nguyen, Edward Raff

* MileTS '19: 5th KDD Workshop on Mining and Learning from Time Series 

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KiloGrams: Very Large N-Grams for Malware Classification


Aug 01, 2019
Edward Raff, William Fleming, Richard Zak, Hyrum Anderson, Bill Finlayson, Charles Nicholas, Mark McLean

* Appearing in LEMINCS @ KDD'19, August 5th, 2019, Anchorage, Alaska, United States 

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Connecting Lyapunov Control Theory to Adversarial Attacks


Jul 17, 2019
Arash Rahnama, Andre T. Nguyen, Edward Raff

* 8 pages, 3 figures, AdvML'19: Workshop on Adversarial Learning Methods for Machine Learning and Data Mining at KDD 

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Adversarial Attacks, Regression, and Numerical Stability Regularization


Dec 07, 2018
Andre T. Nguyen, Edward Raff

* Presented at the AAAI 2019 Workshop on Engineering Dependable and Secure Machine Learning Systems 

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Engineering a Simplified 0-Bit Consistent Weighted Sampling


Oct 23, 2018
Edward Raff, Jared Sylvester, Charles Nicholas

* In Proceedings of the 27th ACM International Conference on Information and Knowledge Management. (2018) 1203-1212 

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Growing and Retaining AI Talent for the United States Government


Sep 27, 2018
Edward Raff

* Presented at AAAI FSS-18: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA 

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Gradient Reversal Against Discrimination


Jul 01, 2018
Edward Raff, Jared Sylvester

* Proceedings of the 5'th Workshop on Fairness, Accountability and Transparency in Machine Learning, 2018 

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Non-Negative Networks Against Adversarial Attacks


Jun 15, 2018
William Fleshman, Edward Raff, Jared Sylvester, Steven Forsyth, Mark McLean


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What About Applied Fairness?


Jun 13, 2018
Jared Sylvester, Edward Raff

* Machine Learning: The Debates (ML-D), at ICML Stockholm, Sweden, 2018 
* Accepted at Machine Learning: The Debates (ML-D), at ICML Stockholm, Sweden, 2018. 5 pages 

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