Tadanobu Inoue

Artificial Intelligence · 2010–2017

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

Subfields

• Artificial Intelligence — 9 citations into it

Whom Tadanobu Inoue trusts overall

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

1. Matthew D. Zeiler
2. Volodymyr Mnih
3. Timothy P. Lillicrap
4. Geoffrey E. Hinton
5. Alex Graves
6. Koray Kavukcuoglu
7. David Silver
8. Alex Krizhevsky
9. Bram Bakker
10. Sergey Levine

Papers from Tadanobu Inoue's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Asynchronous Methods for Deep Reinforcement Learning
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Deep reinforcement learning for high precision assembly tasks (2017) — 300 citations
• Delamination Effect on Impact Properties of Ultrafine-Grained Low-Carbon Steel Processed by Warm Caliber Rolling (2010) — 157 citations