Jacob Arkin

Natural Language Processing · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jacob Arkin trusts overall

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

  1. Brenna D. Argall
  2. M. MacMahon
  3. Stevan Harnad
  4. Tomas Mikolov
  5. Luke S. Zettlemoyer
  6. S. Branavan

Papers from Jacob Arkin's perspective

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

  1. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. ImageNet: A large-scale hierarchical image database

Their papers