Mark H. Fisher

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 75 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Mark H. Fisher trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Sergey Ioffe
  4. Geoffrey E. Hinton
  5. Christian Szegedy
  6. Alex Krizhevsky
  7. Lutz Prechelt
  8. Yoshua Bengio
  9. Jimmy Ba
  10. Yann LeCun

Who trusts Mark H. Fisher overall

  1. Xingchao Peng
  2. Geoff French
  3. Ben Athiwaratkun
  4. Garrett Wilson
  5. Luke Melas-Kyriazi
  6. Jinhong Deng

Papers from Mark H. Fisher's perspective

Ordered by how strongly the researchers Mark H. Fisher 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Gradient-based learning applied to document recognition
  6. GENERATIVE ADVERSARIAL NETS
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers