Jonathan Binas

Artificial Intelligence · 2015–2021

A researcher in the Science corpus: 7 papers; trusts 87 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan Binas trusts overall

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

  1. Geoffrey E. Hinton
  2. Ronald J. Williams
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Richard S. Sutton
  6. Yann LeCun
  7. J. Urgen Schmidhuber
  8. Alex Krizhevsky
  9. Sepp Hochreiter
  10. Ilya Sutskever

Who trusts Jonathan Binas overall

  1. Michael Pfeiffer
  2. Ana I. Maqueda
  3. Timothy Tadros
  4. Nitin Rathi
  5. Kaushik Roy
  6. Guillermo Gallego
  7. Giri Panamoottil Krishnan
  8. Alex Zihao Zhu
  9. Antonio Loquercio
  10. Anirudh Goyal

Papers from Jonathan Binas's perspective

Ordered by how strongly the researchers Jonathan Binas 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. Long Short-Term Memory
  4. Gradient-based learning applied to document recognition
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers