Alban Demiraj

Natural Language Processing · 2014

A researcher in the Science corpus: 2 papers; trusts 93 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 39 citations into it; #3,950 of 5,688 by trust here, #3,897 by citations
• Artificial Intelligence — 30 citations into it; #11,598 of 35,345 by trust here, #14,718 by citations
• Computer Vision and Pattern Recognition — 23 citations into it; #14,566 of 21,575 by trust here, #13,269 by citations
• Representation & Self-Supervised Learning — 13 citations into it
• Model Architectures — 9 citations into it
• Generative Models — 5 citations into it

Whom Alban Demiraj trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Matthew D. Zeiler
5. Ilya Sutskever
6. Nal Kalchbrenner
7. Karen Simonyan
8. Richard Socher
9. Yann LeCun
10. Diederik P. Kingma

Who trusts Alban Demiraj overall

1. Aliaksei Severyn
2. Leila Arras
3. Mahmood Yousefi-Azar
4. Kyunghyun Cho
5. Alessandro Moschitti
6. Trapit Bansal
7. Mor Geva
8. Dimitrios Kotzias
9. Tom Young
10. Duyu Tang

Papers from Alban Demiraj's perspective

Ordered by how strongly the researchers Alban Demiraj 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Extraction of Salient Sentences from Labelled Documents (2014) — 145 citations
• Modelling, Visualising and Summarising Documents with a Single Convolutional Neural Network (2014) — 101 citations