Stan Lipovetsky

Statistics and Probability · 2001–2010

A researcher in the Science corpus: 7 papers; trusts 17 researchers and is trusted by 227 researchers here, as inferred from the citation graph.

Subfields

Whom Stan Lipovetsky trusts overall

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

  1. Eric R. Ziegel
  2. Trevor J. Hastie
  3. Yann LeCun
  4. William N. Venables
  5. Robert Tibshirani
  6. Yoshua Bengio
  7. B. D. Ripley
  8. Geoffrey E. Hinton
  9. Anil K. Jain
  10. Jerome H. Friedman

Who trusts Stan Lipovetsky overall

  1. A. Skrondal
  2. Sophia Rabe-Hesketh
  3. Paul J Silvia
  4. Jeroen K. Vermunt
  5. Alexandre J. S. Morin
  6. Scott M. Lundberg
  7. Ulrike Grömping
  8. Maria Iannario
  9. Neil D. Lawrence
  10. Nicholas J. Horton

Papers from Stan Lipovetsky's perspective

Ordered by how strongly the researchers Stan Lipovetsky 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. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers