Olga Majewska

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 34 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 69 citations into it; #20,547 of 35,345 by trust here, #14,181 by citations
• Natural Language Processing — 63 citations into it; #3,501 of 5,688 by trust here, #3,014 by citations
• Evaluation & Benchmarks — 31 citations into it
• Computer Vision and Pattern Recognition — 24 citations into it; #18,035 of 21,575 by trust here, #10,905 by citations
• Large Language Models — 12 citations into it

Whom Olga Majewska trusts overall

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

1. Diederik P. Kingma
2. Alec Radford
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Ilya Sutskever
6. Alex Krizhevsky
7. Jimmy Ba
8. Kaiming He
9. Richard Socher
10. Yann LeCun

Who trusts Olga Majewska overall

1. Jonas Pfeiffer
2. Ivan Vulic
3. Phillip Rust
4. Goran Glavas

Papers from Olga Majewska's perspective

Ordered by how strongly the researchers Olga Majewska 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. ImageNet: A large-scale hierarchical image database
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
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

• XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning (2020) — 457 citations
• Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers (2020) — 93 citations