Takeshi Yagi

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 Takeshi Yagi trusts

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

1. Ilya Sutskever (in Artificial Intelligence)
2. Geoffrey E. Hinton (in Artificial Intelligence)

Papers from Takeshi Yagi's perspective

Ordered by how strongly the researchers Takeshi Yagi 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. Learning to Forget: Continual Prediction with LSTM
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Gradient-based learning applied to document recognition
10. Rectified Linear Units Improve Restricted Boltzmann Machines

Their papers

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