Amarda Shehu

Molecular Biology · 2018

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Molecular Biology — 15 citations into it; #12,966 of 17,773 by trust here, #16,150 by citations
• Artificial Intelligence — 13 citations into it
• Model Architectures — 6 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Amarda Shehu trusts overall

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

1. Geoffrey E. Hinton
2. Kuo-Chen Chou
3. J. Urgen Schmidhuber
4. W. James Kent
5. Sepp Hochreiter
6. Yoshua Bengio
7. Dzmitry Bahdanau
8. L. V. D. van der Maaten
9. Alex Krizhevsky
10. Diederik P. Kingma

Who trusts Amarda Shehu overall

1. John Muschelli

Papers from Amarda Shehu's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Dropout: a simple way to prevent neural networks from overfitting
8. Attention is All you Need (Neural Information Processing Systems)
9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Deep learning improves antimicrobial peptide recognition (2018) — 497 citations