Philip Yeres

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Philip Yeres trusts overall

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

  1. Alec Radford
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Ilya Sutskever
  6. Christopher D. Manning
  7. Yann LeCun
  8. Alex Krizhevsky
  9. Richard Socher
  10. Alex Wang

Who trusts Philip Yeres overall

  1. Clara Vania
  2. Alex Warstadt
  3. Jianyu Chen
  4. Lu Chi
  5. Ulme Wennberg
  6. Samuel R. Bowman
  7. Luona Yang

Papers from Philip Yeres's perspective

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

  1. Long Short-Term Memory
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers