Samuel K. Ainsworth

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 85 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Samuel K. Ainsworth trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Yoshua Bengio
  4. Yann LeCun
  5. Geoffrey E. Hinton
  6. Karen Simonyan
  7. Diederik P. Kingma
  8. Andrew Zisserman
  9. Ilya Sutskever
  10. Jia Deng

Who trusts Samuel K. Ainsworth overall

  1. Yanis Labrak
  2. Adrien Bazoge

Papers from Samuel K. Ainsworth's perspective

Ordered by how strongly the researchers Samuel K. Ainsworth 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers