Michal Nykl

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Natural Language Processing — 15 citations into it
• Representation & Self-Supervised Learning — 11 citations into it

Whom Michal Nykl trusts overall

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

1. Tomas Mikolov
2. Omer Levy

Who trusts Michal Nykl overall

1. Wes Gurnee

Papers from Michal Nykl's perspective

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

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

Their papers

• Geographical Evaluation of Word Embeddings (2017) — 10 citations