Tomoki Koriyama

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Tomoki Koriyama trusts overall

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

1. Leo Breiman
2. Geoffrey E. Hinton

Papers from Tomoki Koriyama's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Visualizing Data using t-SNE
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Domain-Adversarial Training of Neural Networks

Their papers

• UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022 (2022) — 634 citations
• Cross-Lingual Speaker Adaptation Using Domain Adaptation and Speaker Consistency Loss for Text-To-Speech Synthesis (2021) — 12 citations