Alim Virani

Optimization & Training · 2015

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Alim Virani trusts overall

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

  1. L. Eon Bottou
  2. Tong Zhang
  3. Jakub Konecný
  4. Shai Shalev-Shwartz
  5. Mark W. Schmidt
  6. Yurii E. Nesterov
  7. Rie Johnson
  8. Lin Xiao
  9. Francis R. Bach

Who trusts Alim Virani overall

  1. Jakub Konecný

Papers from Alim Virani's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Learning Multiple Layers of Features from Tiny Images
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet: A large-scale hierarchical image database
  9. Long Short-Term Memory
  10. Accelerating Stochastic Gradient Descent using Predictive Variance Reduction

Their papers