Hiroki Kanagawa

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Signal Processing — 26 citations into it
• Speech & Audio — 19 citations into it
• Natural Language Processing — 10 citations into it
• Representation & Self-Supervised Learning — 6 citations into it
• Computational Mathematics — 5 citations into it

Whom Hiroki Kanagawa trusts overall

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

1. Diederik P. Kingma
2. Ivan V. Oseledets
3. Aäron van den Oord
4. Lieven De Lathauwer
5. Tamara G. Kolda
6. Jean-Marc Valin
7. Jimmy Ba
8. Hideki Kawahara
9. Ryan J. Prenger
10. Geoffrey E. Hinton

Who trusts Hiroki Kanagawa overall

1. Xu Tan
2. Tao Qin
3. Frank K. Soong

Papers from Hiroki Kanagawa's perspective

Ordered by how strongly the researchers Hiroki Kanagawa 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
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. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Zero-Shot Text-to-Speech Synthesis Conditioned Using Self-Supervised Speech Representation Model (2023) — 16 citations
• Lightweight LPCNet-Based Neural Vocoder with Tensor Decomposition (2020) — 9 citations