J. Hendler

Artificial Intelligence · 2000–2019

A researcher in the Science corpus: 26 papers; trusts 118 researchers and is trusted by 40 researchers here, as inferred from the citation graph.

Subfields

Whom J. Hendler trusts overall

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

  1. Ilya Sutskever
  2. Diederik P. Kingma
  3. Mark Newman
  4. Tomas Mikolov
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Richard Socher
  8. Alex Krizhevsky
  9. Alex Graves
  10. Maximilian Nickel

Who trusts J. Hendler overall

  1. Ian Horrocks
  2. Andrew Burton-Jones
  3. Charu C. Aggarwal
  4. Natasha Noy
  5. Sheila A. McIlraith
  6. Steven R. Haynes
  7. Quan Z. Sheng
  8. Barbara Messing
  9. Sergio Oramas
  10. Roberto Navigli

Papers from J. Hendler's perspective

Ordered by how strongly the researchers J. Hendler 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers