Martin Docekal

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it
• Computer Vision and Pattern Recognition — 26 citations into it
• Natural Language Processing — 26 citations into it
• Information Retrieval & Search — 25 citations into it
• Retrieval-Augmented Generation — 7 citations into it

Whom Martin Docekal trusts overall

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

1. Kenton C. T. Lee
2. Geoffrey E. Hinton
3. Gautier Izacard
4. Diederik P. Kingma
5. Yoshua Bengio
6. Rodrigo Nogueira
7. Danqi Chen
8. Ming-Wei Chang
9. Ilya Sutskever
10. Alex Krizhevsky

Papers from Martin Docekal's perspective

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

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

Their papers

• R2-D2: A Modular Baseline for Open-Domain Question Answering (2021) — 50 citations