Nikolay Arefiev

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #22,722 of 35,345 by trust here, #29,412 by citations
• Natural Language Processing — 12 citations into it; #3,816 of 5,688 by trust here, #5,092 by citations
• Representation & Self-Supervised Learning — 9 citations into it; #2,243 of 3,145 by trust here, #2,910 by citations

Whom Nikolay Arefiev trusts overall

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

1. Hinrich Schütze
2. Marco Baroni
3. Tomas Mikolov
4. Dekang Lin
5. Patrick Pantel
6. Eneko Agirre
7. Joseph Reisinger
8. Chris Biemann
9. Adriano Ferraresi

Who trusts Nikolay Arefiev overall

1. Mohammad Taher Pilehvar
2. José Camacho-Collados
3. Chris Biemann
4. Annette Rios Gonzales
5. Gregor Wiedemann
6. Kai Li

Papers from Nikolay Arefiev's perspective

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

1. Efficient Estimation of Word Representations in Vector Space
2. GloVe: Global Vectors for Word Representation
3. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. ImageNet classification with deep convolutional neural networks
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Gradient-based learning applied to document recognition
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Making Sense of Word Embeddings (2016) — 142 citations