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Robust Neural Network Training using Periodic Sampling over Model Weights.

S. Tripathi, J. Liu, U. Kurup, and M. Shah. CoRR, (2019)

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An Architecture for Problem Solving with Diagrams.B. Chandrasekaran, U. Kurup, B. Banerjee, J. Josephson, and R. Winkler. Diagrams, volume 2980 of Lecture Notes in Computer Science, page 151-165. Springer, (2004)Integrating Perception and Cognition for AGI.U. Kurup, C. Lebiere, and A. Stentz. AGI, volume 6830 of Lecture Notes in Computer Science, page 102-111. Springer, (2011)A data-driven approach towards patient identification for telehealth programs.M. Ganser, S. Dhar, U. Kurup, C. Cunha, and A. Gacic. BigData, page 2551-2559. IEEE Computer Society, (2015)A clustering-based rule-mining approach for monitoring long-term energy use and understanding system behavior.S. Mirebrahim, M. Shokoohi-Yekta, U. Kurup, T. Welfonder, and M. Shah. BuildSys@SenSys, page 5:1-5:9. ACM, (2017)Auptimizer - an Extensible, Open-Source Framework for Hyperparameter Tuning.J. Liu, S. Tripathi, U. Kurup, and M. Shah. CoRR, (2019)Using Expectations to Drive Cognitive Behavior.U. Kurup, C. Lebiere, A. Stentz, and M. Hebert. AAAI, AAAI Press, (2012)A Bimodal Cognitive Architecture: Explorations in Architectural Explanation of Spatial Reasoning.B. Chandrasekaran, and U. Kurup. AAAI Spring Symposium: Control Mechanisms for Spatial Knowledge Processing in Cognitive / Intelligent Systems, page 17-22. AAAI, (2007)An Architecture for Adaptive Algorithmic Hybrids.N. Cassimatis, P. Bignoli, M. Bugajska, S. Dugas, U. Kurup, A. Murugesan, and P. Bello. IEEE Trans. Systems, Man, and Cybernetics, Part B, 40 (3): 903-914 (2010)On-Device Machine Learning: An Algorithms and Learning Theory Perspective.S. Dhar, J. Guo, J. Liu, S. Tripathi, U. Kurup, and M. Shah. CoRR, (2019)Multi-modal Systems As Multi-representational Systems.U. Kurup, and B. Chandrasekaran. AAAI Fall Symposium: Multi-Representational Architectures for Human-Level Intelligence, volume FS-09-05 of AAAI Technical Report, AAAI, (2009)

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Robust Neural Network Training using Periodic Sampling over Model Weights.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Robust Neural Network Training using Periodic Sampling over Model Weights.

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Robust Neural Network Training using Periodic Sampling over Model Weights.