Michal Konkol

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 Konkol trusts overall

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

1. Tomas Mikolov
2. Omer Levy
3. T. Landauer
4. Christopher D. Manning
5. Richard Socher
6. Billy Chiu
7. Alexandre Salle
8. Neha Nayak Kennard
9. Piotr Bojanowski
10. Yoshua Bengio

Who trusts Michal Konkol overall

1. Wes Gurnee
2. Max Tegmark

Papers from Michal Konkol's perspective

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

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

Their papers

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