Pavel Smrz

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 58 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 66 citations into it
• Natural Language Processing — 48 citations into it
• Computer Vision and Pattern Recognition — 41 citations into it
• Information Retrieval & Search — 32 citations into it
• Retrieval-Augmented Generation — 8 citations into it

Whom Pavel Smrz trusts overall

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

1. Kenton C. T. Lee
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Diederik P. Kingma
5. Ilya Loshchilov
6. Oriol Vinyals
7. Alex Krizhevsky
8. Ilya Sutskever
9. Richard Socher
10. Ming-Wei Chang

Papers from Pavel Smrz's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. ImageNet: A large-scale hierarchical image database
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
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
• Rethinking the Objectives of Extractive Question Answering (2020) — 12 citations