J. Ainslie

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 11 papers; trusts 473 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom J. Ainslie trusts overall

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

  1. Geoffrey E. Hinton
  2. Noam Shazeer
  3. Yoshua Bengio
  4. Ashish Vaswani
  5. Diederik P. Kingma
  6. Ilya Sutskever
  7. Alex Krizhevsky
  8. Kaiming He
  9. Jacob Devlin
  10. Yann LeCun

Who trusts J. Ainslie overall

  1. Yi Tay
  2. James Lee-Thorp
  3. Mostafa Dehghani
  4. Ruining He
  5. Huiyu Wang
  6. Jianwei Yang
  7. Tri Dao
  8. Dara Bahri
  9. Izzeddin Gur
  10. William Fedus

Papers from J. Ainslie's perspective

Ordered by how strongly the researchers J. Ainslie 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  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