Kazuhiro Kobayashi
Artificial Intelligence · 2017–2020
A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 32 citations into it; #5,738 of 35,345 by trust here, #8,706 by citations
- Speech & Audio — 26 citations into it; #337 of 1,076 by trust here, #472 by citations
- Signal Processing — 24 citations into it; #857 of 7,572 by trust here, #1,055 by citations
- Natural Language Processing — 11 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Optimization & Training — 5 citations into it
Whom Kazuhiro Kobayashi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Hideki Kawahara
- Aäron van den Oord
- Eric Moulines
- Masanori Morise
- Jimmy Ba
- Geoffrey E. Hinton
- David Talkin
- Alex Graves
- Yoshua Bengio
Who trusts Kazuhiro Kobayashi overall
- Takuma Okamoto
- Junichi Yamagishi
- Xin Eric Wang
- Ryuichi Yamamoto
- Tomoki Hayashi
- Yang Ai
- Eunwoo Song
- Lauri Juvela
- Tomoki Toda
- Berrak Sisman
Papers from Kazuhiro Kobayashi's perspective
Ordered by how strongly the researchers Kazuhiro Kobayashi 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
- Cyclic Spectral Modeling for Unsupervised Unit Discovery into Voice Conversion with Excitation and Waveform Modeling (2020) — 8 citations
- An investigation of multi-speaker training for wavenet vocoder (2017) — 100 citations