Dar Gilboa

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 4 papers; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dar Gilboa trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Jeffrey Pennington
  4. Sam Schoenholz
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Christian Szegedy
  8. Ilya Sutskever
  9. Jimmy Ba
  10. Greg Yang

Who trusts Dar Gilboa overall

  1. Greg Yang
  2. Lechao Xiao
  3. Jeffrey Pennington
  4. Sam Schoenholz
  5. Vinay Venkatesh Ramasesh

Papers from Dar Gilboa's perspective

Ordered by how strongly the researchers Dar Gilboa 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. 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