Hayato Futami

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it; #32,988 of 35,345 by trust here, #34,213 by citations
• Natural Language Processing — 21 citations into it

Whom Hayato Futami trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Graves
4. Yoshua Bengio
5. Alec Radford
6. Christian Szegedy
7. Jimmy Ba
8. Alex Krizhevsky
9. Ilya Sutskever
10. Jan Chorowski

Who trusts Hayato Futami overall

1. Jinyu Li
2. Peidong Wang
3. Tara N. Sainath

Papers from Hayato Futami's perspective

Ordered by how strongly the researchers Hayato Futami 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
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. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Distilling the Knowledge of BERT for Sequence-to-Sequence ASR (2020) — 59 citations