Hiroaki Hayashi

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 8 papers; trusts 266 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Hiroaki Hayashi trusts overall

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

  1. Yoshua Bengio
  2. Ilya Sutskever
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Sepp Hochreiter
  7. Oriol Vinyals
  8. Alex Graves
  9. Tomas Mikolov
  10. Yann LeCun

Who trusts Hiroaki Hayashi overall

  1. Qi Liu
  2. Yixin Liu
  3. Weizhe Yuan
  4. Lesly Miculicich
  5. Corby Rosset
  6. Graham Neubig
  7. Pengfei Liu
  8. Dani Yogatama
  9. Kenneth Heafield
  10. Chenyan Xiong

Papers from Hiroaki Hayashi's perspective

Ordered by how strongly the researchers Hiroaki Hayashi 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. Gradient-based learning applied to document recognition
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. ImageNet: A large-scale hierarchical image database
  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