Jake Marcus

Artificial Intelligence · with Liu · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jake Marcus trusts overall

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

  1. Geoffrey E. Hinton
  2. Yann LeCun
  3. Yoshua Bengio
  4. Yoon Kim
  5. Matthew D. Zeiler
  6. Alex Krizhevsky
  7. Sepp Hochreiter
  8. Ilya Sutskever
  9. J. Urgen Schmidhuber
  10. Sergey Ioffe

Who trusts Jake Marcus overall

  1. Yuan Luo
  2. Bryan Lim
  3. Harini Suresh
  4. Tian Bai
  5. Aaqib Saeed

Papers from Jake Marcus's perspective

Ordered by how strongly the researchers Jake Marcus 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers