Simon Baker

Artificial Intelligence · with Korhonen · 2014

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Simon Baker trusts overall

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

  1. Daniel Klein
  2. Daphne Koller
  3. Peter D. Turney
  4. Stella X. Yu
  5. Richard Johansson
  6. Andrew Rosenberg
  7. Christopher D. Manning
  8. Ryan T. McDonald
  9. Ted Briscoe
  10. Kristina Toutanova

Who trusts Simon Baker overall

  1. Yu-An Chung
  2. Ofir Press
  3. Hyung Won Chung
  4. Daniela Gerz
  5. James R. Glass
  6. Lior Wolf
  7. Ivan Vulic
  8. Thibault Févry

Papers from Simon Baker's perspective

Ordered by how strongly the researchers Simon Baker 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. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers