Maciej Biesek

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #19,622 of 35,345 by trust here, #13,544 by citations
• Natural Language Processing — 14 citations into it; #3,346 of 5,688 by trust here, #2,888 by citations
• Summarization — 8 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Maciej Biesek trusts overall

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

1. Chin-Yew Lin
2. M. McHugh
3. Rico Sennrich
4. Yen-Chun Chen
5. Chih-Wen Goo

Who trusts Maciej Biesek overall

1. Yi Tay
2. Mingqi Gao
3. Shahriar Golchin

Papers from Maciej Biesek's perspective

Ordered by how strongly the researchers Maciej Biesek 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. Language Models are Unsupervised Multitask Learners
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. Gradient-based learning applied to document recognition
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization (2019) — 841 citations