Sandro Skansi

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 514 researchers and is trusted by 57 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 82 citations into it; #3,382 of 21,575 by trust here, #9,305 by citations
• Artificial Intelligence — 60 citations into it; #3,143 of 35,345 by trust here, #13,544 by citations
• Model Architectures — 27 citations into it
• Optimization & Training — 15 citations into it
• Natural Language Processing — 13 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Neural Architecture Search & AutoML — 8 citations into it

Whom Sandro Skansi trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Yann LeCun
5. Kaiming He
6. Xavier Gastaldi
7. Diederik P. Kingma
8. Ilya Sutskever
9. Ross B. Girshick
10. Ilya Loshchilov

Who trusts Sandro Skansi overall

1. Hongyu Guo
2. Shay B. Cohen
3. Jason Wei
4. Xilun Chen
5. Leonardo dos Santos Pinheiro
6. Jyun-Yu Jiang
7. Chenyan Xiong
8. Zhenghao Liu
9. Lei Lin
10. Nasrin Sultana

Papers from Sandro Skansi's perspective

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

Their papers

• Convolutional Neural Networks (2018) — 1,538 citations