Mikhail Bilenko

Artificial Intelligence · 2003–2015

A researcher in the Science corpus: 8 papers; trusts 55 researchers and is trusted by 119 researchers here, as inferred from the citation graph.

Subfields

Whom Mikhail Bilenko trusts overall

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

  1. William W. Cohen
  2. Vladimir Naumovich Vapnik
  3. Lawrence R. Rabiner
  4. Sugato Basu
  5. J. Platt
  6. Andrew McCallum
  7. Raymond J. Mooney
  8. Andrew Y. Ng
  9. Thorsten Joachims
  10. Sunita Sarawagi

Who trusts Mikhail Bilenko overall

  1. Peter Christen
  2. Ihab F. Ilyas
  3. Brian Kulis
  4. Raymond J. Mooney
  5. Sugato Basu
  6. Hanna Köpcke
  7. Yen-Chang Hsu
  8. Pedro M. Domingos
  9. Parag Singla
  10. Indrajit Bhattacharya

Papers from Mikhail Bilenko's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers