Alexey Radul

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 68 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Whom Alexey Radul trusts overall

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

  1. L. Eon Bottou
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Yann LeCun
  6. Radford M. Neal
  7. Ronald J. Williams
  8. Alex Krizhevsky
  9. Alex Graves
  10. Matthew D. Hoffman

Who trusts Alexey Radul overall

  1. Maizar Raissi
  2. G. Em Karniadakis
  3. Paris Perdikaris
  4. Ameya Dilip Jagtap
  5. Yoav Goldberg
  6. Sifan Wang
  7. Iain Murray
  8. Dougal Maclaurin
  9. Charles C. Margossian
  10. Han Gao

Papers from Alexey Radul's perspective

Ordered by how strongly the researchers Alexey Radul 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  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. GENERATIVE ADVERSARIAL NETS
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers