William Melicher

Information Systems · 2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom William Melicher trusts overall

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

  1. Alex Graves
  2. Joseph Bonneau
  3. Ilya Sutskever
  4. Michael M. Mitzenmacher
  5. Geoffrey E. Hinton
  6. Matt Weir
  7. Tomas Mikolov
  8. Yoshua Bengio
  9. Song Han
  10. Jason Yosinski

Who trusts William Melicher overall

  1. Briland Hitaj
  2. Nicholas Carlini

Papers from William Melicher's perspective

Ordered by how strongly the researchers William Melicher 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. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers