Nicolas Baskiotis

Artificial Intelligence · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Nicolas Baskiotis trusts overall

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

1. Ronald J. Williams
2. Diederik P. Kingma
3. Yoshua Bengio
4. Kaiming He
5. Geoffrey E. Hinton
6. Jason Aaron Edward Weston
7. Jimmy Ba
8. Mohammad Norouzi
9. Alex Krizhevsky
10. Ruslan Salakhutdinov

Papers from Nicolas Baskiotis's perspective

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

Their papers

• Binary Stochastic Representations for Large Multi-class Classification (2017) — 3 citations
• An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition (2015) — 831 citations