Akira Tamamori
Artificial Intelligence · 2017
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 11 citations into it; #5,735 of 35,345 by trust here, #8,893 by citations
- Signal Processing — 11 citations into it; #856 of 7,572 by trust here, #1,082 by citations
- Speech & Audio — 10 citations into it; #336 of 1,076 by trust here, #472 by citations
- Natural Language Processing — 9 citations into it
Whom Akira Tamamori trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hideki Kawahara
- Eric Moulines
- David Talkin
- Diederik P. Kingma
- Aäron van den Oord
- Alan W. Black
- Jimmy Ba
- Francis Charpentier
- Masanori Morise
- Heiga Zen
Who trusts Akira Tamamori overall
- Xin Eric Wang
- Takuma Okamoto
- Junichi Yamagishi
- Tomoki Hayashi
- Lauri Juvela
- Ryuichi Yamamoto
- Yang Ai
- Tomoki Toda
- Eunwoo Song
- Zhenhua Ling
Papers from Akira Tamamori's perspective
Ordered by how strongly the researchers Akira Tamamori trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- WaveNet: A Generative Model for Raw Audio
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Speaker-Dependent WaveNet Vocoder (2017) — 267 citations
- An investigation of multi-speaker training for wavenet vocoder (2017) — 100 citations