Yukiko Yamaguchi

Artificial Intelligence · 2016

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 — 7 citations into it

Whom Yukiko Yamaguchi trusts overall

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

1. Alex Krizhevsky
2. Ilya Sutskever
3. Wojciech Zaremba
4. Felix Alexander Gers
5. Tomas Mikolov
6. Geoffrey E. Hinton

Who trusts Yukiko Yamaguchi overall

1. Daniel S. Berman

Papers from Yukiko Yamaguchi's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Recurrent neural network based language model
3. Recurrent Neural Network Regularization
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning to Forget: Continual Prediction with LSTM
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Malware Detection with Deep Neural Network Using Process Behavior (2016) — 309 citations