
![]() What is Holding Back Convnets for Detection?German Conference on Pattern Recognition (DAGM), 2015 |
![]() Integrated Inference and Learning of Neural Factors in Structural
Support Vector MachinesPattern Recognition (PR), 2015 |
![]() Training Very Deep NetworksNeural Information Processing Systems (NeurIPS), 2015 |
![]() Adaptive Normalized Risk-Averting Training For Deep Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2015 |
![]() Cyclical Learning Rates for Training Neural NetworksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2015 |
![]() Learning with hidden variablesCurrent Opinion in Neurobiology (Curr Opin Neurobiol), 2015 |
![]() Explorations on high dimensional landscapesInternational Conference on Learning Representations (ICLR), 2014 |
![]() FitNets: Hints for Thin Deep NetsInternational Conference on Learning Representations (ICLR), 2014 |
![]() Qualitatively characterizing neural network optimization problemsInternational Conference on Learning Representations (ICLR), 2014 |
![]() On the Stability of Deep NetworksInternational Conference on Learning Representations (ICLR), 2014 |
![]() New insights and perspectives on the natural gradient methodJournal of machine learning research (JMLR), 2014 |
![]() The Loss Surfaces of Multilayer NetworksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2014 |
![]() Knowledge Matters: Importance of Prior Information for OptimizationJournal of machine learning research (JMLR), 2013 |