Yukiya Hono

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Signal Processing — 19 citations into it
• Speech & Audio — 15 citations into it
• Generative Models — 13 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it

Whom Yukiya Hono trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Sepp Hochreiter
4. Heiga Zen
5. Yoshua Bengio
6. Alex Krizhevsky
7. Sargur N. Srihari
8. Alex Graves
9. J. Urgen Schmidhuber
10. Ilya Sutskever

Who trusts Yukiya Hono overall

1. Xu Tan
2. Chenpeng Du
3. Pritish Chandna
4. Tao Qin
5. Merlijn Blaauw

Papers from Yukiya Hono's perspective

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

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

Their papers

• Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis (2020) — 27 citations
• Singing Voice Synthesis Based on Generative Adversarial Networks (2019) — 59 citations