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On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima.

N. Keskar, D. Mudigere, J. Nocedal, M. Smelyanskiy, and P. Tang. CoRR, (2016)

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Ternary Neural Networks with Fine-Grained Quantization.N. Mellempudi, A. Kundu, D. Mudigere, D. Das, B. Kaul, and P. Dubey. CoRR, (2017)RAIL: Risk-Averse Imitation Learning.A. Santara, A. Naik, B. Ravindran, D. Das, D. Mudigere, S. Avancha, and B. Kaul. CoRR, (2017)Fast Histograms using Adaptive CUDA StreamsS. Koppaka, D. Mudigere, S. Narasimhan, and B. Narayanan. CoRR, (2010)Identification of Helicopter Dynamics based on Flight Data using Nature Inspired Techniques.S. Omkar, D. Mudigere, J. Senthilnath, and M. Kumar. Int. J. of Applied Metaheuristic Computing, 6 (3): 38-52 (2015)Distributed Deep Learning Using Synchronous Stochastic Gradient Descent.D. Das, S. Avancha, D. Mudigere, K. Vaidyanathan, S. Sridharan, D. Kalamkar, B. Kaul, and P. Dubey. CoRR, (2016)Identification of Helicopter Dynamics based on Flight Data using Nature Inspired Techniques.S. Omkar, D. Mudigere, J. Senthilnath, and M. Kumar. CoRR, (2014)RAIL: Risk-Averse Imitation Learning.A. Santara, A. Naik, B. Ravindran, D. Das, D. Mudigere, S. Avancha, and B. Kaul. AAMAS, page 2062-2063. International Foundation for Autonomous Agents and Multiagent Systems Richland, SC, USA / ACM, (2018)High-performance algebraic multigrid solver optimized for multi-core based distributed parallel systems.J. Park, M. Smelyanskiy, U. Yang, D. Mudigere, and P. Dubey. SC, page 54:1-54:12. ACM, (2015)Fast GPGPU Data Rearrangement Kernels using CUDAM. Bader, H. Bungartz, D. Mudigere, S. Narasimhan, and B. Narayanan. CoRR, (2010)On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima.N. Keskar, D. Mudigere, J. Nocedal, M. Smelyanskiy, and P. Tang. CoRR, (2016)

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Disambiguation of "Mudigere, Dheevatsa"

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On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima.

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Disambiguation of "Mudigere, Dheevatsa"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima.

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On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima.