Yevgeny Seldin

Artificial Intelligence · 2010–2013

A researcher in the Science corpus: 5 papers; trusts 51 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Yevgeny Seldin trusts overall

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

  1. David A. McAllester
  2. Matthias W. Seeger
  3. John Shawe-Taylor
  4. J. Langford
  5. Peter Auer
  6. Noam Slonim
  7. Leslie G. Valiant
  8. Arindam Banerjee
  9. Peter L. Bartlett
  10. Pascal Germain

Who trusts Yevgeny Seldin overall

  1. Ben London
  2. Pierre Alquier
  3. Pascal Germain
  4. Anastasia Pentina
  5. François Laviolette
  6. Ted Sandler
  7. Nicolò Cesa-Bianchi
  8. Ilya O. Tolstikhin
  9. Luc Bégin
  10. Peter Auer

Papers from Yevgeny Seldin's perspective

Ordered by how strongly the researchers Yevgeny Seldin 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Learning Multiple Layers of Features from Tiny Images
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet: A large-scale hierarchical image database
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers