Norio Kosaka

Artificial Intelligence · 2022

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 — 19 citations into it
• Graph Learning — 5 citations into it

Whom Norio Kosaka trusts overall

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

1. Thomas Kipf
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Max Welling
5. John Schulman
6. Yoshua Bengio
7. Djork-Arné Clevert
8. Jimmy Ba
9. Ayush Jain
10. Sepp Hochreiter

Papers from Norio Kosaka's perspective

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

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

Their papers

• Know Your Action Set: Learning Action Relations for Reinforcement Learning (2022) — 14 citations