Laura E. Barnes

Artificial Intelligence · with Kowsari · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 70 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Laura E. Barnes trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Yann LeCun
  4. Diederik P. Kingma
  5. Ilya Sutskever
  6. L. Eon Bottou
  7. Alex Krizhevsky
  8. Alex Graves
  9. Tomas Mikolov
  10. Kyunghyun Cho

Who trusts Laura E. Barnes overall

  1. Ammar Ismael Kadhim

Papers from Laura E. Barnes's perspective

Ordered by how strongly the researchers Laura E. Barnes 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. 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  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