Tom Birch

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tom Birch trusts

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

  1. Philipp Koehn (in Natural Language Processing)
  2. Holger Schwenk (in Natural Language Processing)
  3. Jimmy Ba (in Artificial Intelligence)

Papers from Tom Birch's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Layer Normalization
  7. Rethinking the Inception Architecture for Computer Vision
  8. Bleu: a Method for Automatic Evaluation of Machine Translation
  9. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
  10. Scaling Laws for Neural Language Models (arXiv.org)

Their papers