Papers matching “deep neural network training” 178
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Smaller generalization error derived for a deep residual neural network compared with shallow networks2022 IMA Journal of Numerical Analysis article Computer Science Stochastic Gradient Optimization Techniques Open access
Aku Kammonen, Jonas Kiessling, Petr Plecháč, Mattias Sandberg, Anders Szepessy, Raul F. Tempone
4citations -
Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers2021 Information and Inference A Journal of the IMA article Computer Science Stochastic Gradient Optimization Techniques Open access
Bubacarr Bah, Holger Rauhut, Ulrich Terstiege, Michael Westdickenberg
29citations -
Stable Recovery of Entangled Weights: Towards Robust Identification of Deep Neural Networks from Minimal Samples2021 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access
Christian Fiedler, Massimo Fornasier, Timo Klock, Michael Rauchensteiner
0citations -
CAPTURE: Memory-Centric Partitioning for Distributed DNN Training with Hybrid Parallelism2023 IEEE International Conference on High Performance Computing, Data, and Analytics conference-paper Computer Science Parallel Computing and Optimization Techniques Open access
Henk Dreuning, Kees Verstoep, Henri E. Bal, Rob V. van Nieuwpoort
0citations -
3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods2022 IEEE Intelligent Vehicles Symposium conference-paper Computer Science Advanced Data Compression Techniques Open access
Till Beemelmanns, Yuchen Tao, Bastian Lampe, Lennart Reiher, Raphael van Kempen, Timo Woopen, +1 more
11citations