Dmitry Vetrov

Averaging Weights Leads to Wider Optima and Better Generalization

Pavel Izmailov, D. A. Podoprikhin, Timur Garipov et al. · 2018 · 616 citations

Mathematical Programming, Geometric Learning, Convolutional Neural Network +20

Tensorizing Neural Networks

Alexander Novikov, Dmitry Podoprikhin, Anton Osokin et al. · arXiv (Cornell University) · 2015 · 498 citations · Full text

Spatially Adaptive Computation Time for Residual Networks

Michael Figurnov, Maxwell D. Collins, Yukun Zhu et al. · 2017 · 352 citations

Mathematical Programming, Convolutional Neural Network, Residual Networks +17

Variational Dropout Sparsifies Deep Neural Networks

Dmitry Molchanov, Arsenii Ashukha, Dmitry Vetrov · arXiv (Cornell University) · 2017 · 347 citations · Full text

Engineering, Machine Learning, Data Science +12

Evaluation of Stability of k-Means Cluster Ensembles with Respect to Random Initialization

Ludmila I. Kuncheva, Dmitry Vetrov · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2006 · 316 citations