Kei Sawada

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it

Whom Kei Sawada trusts overall

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

1. Diederik P. Kingma
2. Sargur N. Srihari
3. Sepp Hochreiter

Papers from Kei Sawada's perspective

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

1. Long Short-Term Memory
2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
3. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet classification with deep convolutional neural networks
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Gradient-based learning applied to document recognition
10. Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks

Their papers

• Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis (2020) — 27 citations