Katsuki Inoue
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 3 papers; trusts 31 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 68 citations into it; #27,056 of 35,345 by trust here, #18,186 by citations
- Speech & Audio — 49 citations into it
- Signal Processing — 48 citations into it
- Natural Language Processing — 18 citations into it
- Model Architectures — 14 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Katsuki Inoue trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Heiga Zen
- Geoffrey E. Hinton
- Dzmitry Bahdanau
- Yoshua Bengio
- R. Caruana
- Keiichi Tokuda
- Daniel Povey
- Diederik P. Kingma
- Zhizheng Wu
Who trusts Katsuki Inoue overall
Papers from Katsuki Inoue's perspective
Ordered by how strongly the researchers Katsuki Inoue trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
Their papers
- Espnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkit (2019) — 233 citations
- Model architectures to extrapolate emotional expressions in DNN-based text-to-speech (2021) — 16 citations
- Semi-Supervised Speaker Adaptation for End-to-End Speech Synthesis with Pretrained Models (2020) — 14 citations