Björn Gambäck

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 41 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it; #5,146 of 35,345 by trust here, #13,544 by citations
• Natural Language Processing — 34 citations into it; #1,155 of 5,688 by trust here, #2,888 by citations
• Safety, Robustness & Interpretability — 19 citations into it
• Information Systems — 15 citations into it; #712 of 8,771 by trust here, #2,741 by citations
• Communication — 13 citations into it
• AI Ethics, Fairness & Society — 7 citations into it
• Social Psychology — 7 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Björn Gambäck trusts overall

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

1. Zeerak Talat
2. Tomas Mikolov
3. Thomas Davidson
4. Ellery Wulczyn
5. Dirk Hovy
6. Guang Xiang
7. Kai Chen
8. Ilya Sutskever
9. Diederik P. Kingma
10. Dana Warmsley

Who trusts Björn Gambäck overall

1. Ziqi Zhang
2. Antigoni-Maria Founta
3. Piyawat Lertvittayakumjorn
4. Kanika Narang
5. Rui Cao
6. Georgios K. Pitsilis
7. Steven Zimmerman
8. Ioannis Mollas
9. Tong Xiang
10. Wafa S. Alorainy

Papers from Björn Gambäck's perspective

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

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

Their papers

• Studying Generalisability across Abusive Language Detection Datasets (2019) — 105 citations
• Using Convolutional Neural Networks to Classify Hate-Speech (2017) — 549 citations