Ben Eisner

Artificial Intelligence · 2016

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Ben Eisner trusts overall

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

  1. Tomas Mikolov
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. L. V. D. van der Maaten
  5. Ilya Sutskever
  6. Jimmy Ba
  7. Yoshua Bengio
  8. Petra Kralj Novak
  9. Alex Krizhevsky
  10. Yann LeCun

Who trusts Ben Eisner overall

  1. Francesco Barbieri
  2. José Camacho-Collados
  3. Ankush Chatterjee
  4. Saif M. Mohammad
  5. Kedhar Nath Narahari

Papers from Ben Eisner's perspective

Ordered by how strongly the researchers Ben Eisner trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  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. ImageNet Large Scale Visual Recognition Challenge

Their papers