Joseph Clements

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Joseph Clements trusts overall

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

  1. Nicolas Papernot
  2. Christian Szegedy
  3. M. Tehranipoor
  4. Rajat Subhra Chakraborty
  5. Ian J. Goodfellow
  6. Patrick Drew McDaniel
  7. Ilya Sutskever
  8. Geoffrey E. Hinton
  9. Nicholas Carlini
  10. Alex Krizhevsky

Who trusts Joseph Clements overall

  1. Xiaojun Xu
  2. Edward Chou
  3. Qi Wang
  4. Adnan Siraj Rakin

Papers from Joseph Clements's perspective

Ordered by how strongly the researchers Joseph Clements 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers