Kei Kase

Artificial Intelligence · 2017

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 — 5 citations into it

Whom Kei Kase trusts

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

1. Diederik P. Kingma (in Artificial Intelligence)
2. Jimmy Ba (in Artificial Intelligence)

Papers from Kei Kase's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. End-to-End Training of Deep Visuomotor Policies
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Repeatable Folding Task by Humanoid Robot Worker Using Deep Learning (2017) — 196 citations