Shimrit Shtern

Optimization & Training · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Shimrit Shtern trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Simon Lacoste-Julien
  2. Hong-Kun Xu
  3. Martin Jaggi
  4. Jacques Guélat
  5. Dan Garber
  6. Amir Beck
  7. Boris Polyak
  8. Philip Wolfe
  9. Elad Hazan
  10. Yurii E. Nesterov

Who trusts Shimrit Shtern overall

  1. Nathan Kallus
  2. Simon Lacoste-Julien
  3. Dan Garber
  4. Ruichen Jiang
  5. Jérôme Bolte
  6. Martin Jaggi
  7. Ofer Meshi

Papers from Shimrit Shtern's perspective

Ordered by how strongly the researchers Shimrit Shtern trusts endorse each paper. Same corpus, a different order for every researcher.

  1. An algorithm for quadratic programming
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Sparse Convex Optimization Methods for Machine Learning
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Convex Analysis and Monotone Operator Theory in Hilbert Spaces
  10. On the Global Linear Convergence of Frank-Wolfe Optimization Variants

Their papers