Kunikazu Kobayashi

Artificial Intelligence · 2009–2014

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it; #19,166 of 35,345 by trust here, #15,236 by citations
• Reinforcement Learning — 6 citations into it

Whom Kunikazu Kobayashi trusts overall

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

1. Richard S. Sutton
2. Nicolas Schweighofer
3. Kenji Doya
4. Geoffrey E. Hinton
5. Andrew Barto
6. Yoshua Bengio
7. Ahmad Salman
8. G. Zhang
9. Peter S. Dayan
10. Nicolas Le Roux

Who trusts Kunikazu Kobayashi overall

1. Daniel Hsu
2. Stefan Elfwing
3. John Cristian Borges Gamboa
4. Eiji Uchibe
5. Ritika Singh

Papers from Kunikazu Kobayashi's perspective

Ordered by how strongly the researchers Kunikazu Kobayashi 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. Reinforcement Learning: An Introduction
5. This PDF file includes: Materials and Methods
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Meta-learning Method Based on Temporal Difference Error (2009) — 12 citations
• Time series forecasting using a deep belief network with restricted Boltzmann machines (2014) — 511 citations