Marin Bukov

Artificial Intelligence · 2014–2018

A researcher in the Science corpus: 4 papers; trusts 30 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Marin Bukov trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Richard S. Sutton
  4. Yoshua Bengio
  5. J. Urgen Schmidhuber
  6. Radford M. Neal
  7. L. Eon Bottou
  8. Yann LeCun
  9. Ilya Sutskever
  10. Alex Krizhevsky

Who trusts Marin Bukov overall

  1. Michael Jason Knap
  2. E. Rabinovici
  3. Rahul Roy
  4. Xianglin Liu

Papers from Marin Bukov's perspective

Ordered by how strongly the researchers Marin Bukov 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers