Yuichiro Koyama

Signal Processing · 2020

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 22 citations into it
• Artificial Intelligence — 16 citations into it
• Speech & Audio — 11 citations into it
• Computational Mechanics — 6 citations into it

Whom Yuichiro Koyama trusts overall

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

1. Diederik P. Kingma
2. Santiago Pascual
3. Colin S. Lea
4. Y. Hu
5. Jimmy Ba
6. Geoffrey E. Hinton
7. Christophe Veaux
8. Dario Rethage
9. Shaojie Bai
10. Yoshua Bengio

Who trusts Yuichiro Koyama overall

1. Xiang Hao
2. Chengyu Zheng
3. Chandan K. A. Reddy
4. Xiangdong Su
5. Xiulian Peng

Papers from Yuichiro Koyama's perspective

Ordered by how strongly the researchers Yuichiro Koyama 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• Exploring the Best Loss Function for DNN-Based Low-latency Speech Enhancement with Temporal Convolutional Networks (2020) — 48 citations