Alexander D. Jacobs

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander D. Jacobs trusts overall

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

  1. Thorsten Joachims
  2. David D. Lewis
  3. Olivier Bodenreider
  4. Nitish Srivastava
  5. Jin Huang
  6. Tomas Mikolov
  7. Pascal Vincent
  8. Ruslan Salakhutdinov
  9. Yoshua Bengio

Who trusts Alexander D. Jacobs overall

  1. Irena Spasic

Papers from Alexander D. Jacobs's perspective

Ordered by how strongly the researchers Alexander D. Jacobs 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. Efficient Estimation of Word Representations in Vector Space
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. A unified architecture for natural language processing: deep neural networks with multitask learning
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion

Their papers