Nikolaos Kolitsas

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it; #31,991 of 35,345 by trust here, #21,316 by citations
• Natural Language Processing — 20 citations into it; #5,141 of 5,688 by trust here, #4,112 by citations
• Management Science and Operations Research — 6 citations into it; #10,779 of 11,946 by trust here, #5,316 by citations
• Information Systems — 5 citations into it

Whom Nikolaos Kolitsas trusts overall

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

1. Diederik P. Kingma
2. Sepp Hochreiter
3. Johannes Hoffart
4. Tomas Mikolov
5. Octavian-Eugen Ganea
6. Jimmy Ba
7. Ilya Sutskever
8. J. Urgen Schmidhuber
9. Geoffrey E. Hinton
10. Jenny Rose Finkel

Who trusts Nikolaos Kolitsas overall

1. Nicola De Cao
2. Isabelle Augenstein
3. Matthew E. Peters
4. Gautier Izacard
5. Fabio Petroni
6. Sebastian Riedel
7. Tara Safavi
8. Christina Lioma
9. Benjamin Heinzerling
10. Mark Neumann

Papers from Nikolaos Kolitsas's perspective

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

1. Long Short-Term Memory
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• End-to-End Neural Entity Linking (2018) — 288 citations