Arthur Juliani

Artificial Intelligence · with Arulkumaran · 2022

A researcher in the Science corpus: 1 paper; trusts 56 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Arthur Juliani trusts overall

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

  1. J. Urgen Schmidhuber
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Alex Graves
  5. Richard S. Sutton
  6. Alex Krizhevsky
  7. Diederik P. Kingma
  8. Yann LeCun
  9. Ilya Sutskever
  10. Sepp Hochreiter

Papers from Arthur Juliani's perspective

Ordered by how strongly the researchers Arthur Juliani 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. Attention is All you Need (Neural Information Processing Systems)
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers