Chamin Morikawa

Artificial Intelligence · 2012–2019

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Computer Vision and Pattern Recognition — 30 citations into it
• Evaluation & Benchmarks — 9 citations into it
• Statistics and Probability — 9 citations into it
• Model Architectures — 7 citations into it
• Optimization & Training — 6 citations into it

Whom Chamin Morikawa trusts overall

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

1. Ari Juels
2. Barret Zoph
3. Quoc V. Le

Papers from Chamin Morikawa's perspective

Ordered by how strongly the researchers Chamin Morikawa 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. ImageNet: A large-scale hierarchical image database
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• State of the art of smart homes (2012) — 317 citations
• HARK Side of Deep Learning - From Grad Student Descent to Automated Machine Learning (2019) — 38 citations