Samuel A. Nastase

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 53 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Samuel A. Nastase trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Yoshua Bengio
  4. David E. Rumelhart
  5. Diederik P. Kingma
  6. Ilya Sutskever
  7. Yann LeCun
  8. Alex Graves
  9. Ian J. Goodfellow
  10. Kaiming He

Papers from Samuel A. Nastase's perspective

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

Their papers