Kosuke Nakajima

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Social Psychology — 6 citations into it

Whom Kosuke Nakajima trusts overall

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

1. Yoshua Bengio
2. Leo Breiman
3. M. de Choudhury

Papers from Kosuke Nakajima's perspective

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

1. Learning Deep Architectures for AI
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Latent Dirichlet Allocation
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. Representation Learning: A Review and New Perspectives

Their papers

• Recognizing Depression from Twitter Activity (2015) — 326 citations