Filmato Camozzi

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 55 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 75 citations into it; #20,888 of 35,345 by trust here, #17,776 by citations
• Model Architectures — 50 citations into it; #1,445 of 2,278 by trust here, #1,572 by citations
• Computer Vision and Pattern Recognition — 40 citations into it
• Natural Language Processing — 32 citations into it
• Optimization & Training — 16 citations into it

Whom Filmato Camozzi trusts overall

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

1. Yoshua Bengio
2. Alex Graves
3. Ronald J. Williams
4. Geoffrey E. Hinton
5. Ilya Sutskever
6. Yann LeCun
7. Diederik P. Kingma
8. Alex Krizhevsky
9. J. Urgen Schmidhuber
10. Tomas Mikolov

Who trusts Filmato Camozzi overall

1. A. Sherstinsky

Papers from Filmato Camozzi's perspective

Ordered by how strongly the researchers Filmato Camozzi 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Recurrent Neural Networks (2018) — 1,728 citations