Masanobu Abe

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Signal Processing — 27 citations into it
• Speech & Audio — 26 citations into it
• Natural Language Processing — 12 citations into it

Whom Masanobu Abe trusts overall

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

1. Alex Graves
2. Geoffrey E. Hinton
3. Dzmitry Bahdanau
4. Heiga Zen
5. Yoshua Bengio
6. R. Caruana
7. Keiichi Tokuda
8. Andros Tjandra
9. Diederik P. Kingma
10. Daniel Povey

Who trusts Masanobu Abe overall

1. Xu Tan

Papers from Masanobu Abe's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. ImageNet classification with deep convolutional neural networks
5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• 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