Daniel Gissin

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 45 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Gissin trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. David D. Lewis
  4. Diederik P. Kingma
  5. Karen Simonyan
  6. David Cohn
  7. Geoffrey E. Hinton
  8. Individualized Treat
  9. Yoshua Bengio
  10. Jimmy Ba

Who trusts Daniel Gissin overall

  1. Pengzhen Ren
  2. Adam Gleave
  3. Yun Xiao

Papers from Daniel Gissin's perspective

Ordered by how strongly the researchers Daniel Gissin 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  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. Going deeper with convolutions

Their papers