Brendan Kennedy

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 5 papers; trusts 31 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 72 citations into it; #27,251 of 35,345 by trust here, #13,962 by citations
• Natural Language Processing — 56 citations into it; #4,463 of 5,688 by trust here, #2,955 by citations
• Safety, Robustness & Interpretability — 55 citations into it
• AI Ethics, Fairness & Society — 11 citations into it
• Information Systems — 9 citations into it

Whom Brendan Kennedy trusts overall

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

1. Zeerak Talat
2. Xisen Jin
3. Ji Ho Park
4. Thomas Davidson
5. Ona de Gibert
6. Alec Radford
7. Jacob Devlin
8. Tolga Bolukbasi
9. Diederik P. Kingma
10. Geoffrey E. Hinton

Who trusts Brendan Kennedy overall

1. Aida Mostafazadeh Davani
2. Karolina Stańczak
3. Xisen Jin
4. Tanmay Garg
5. Isabelle Augenstein
6. Huihan Yao
7. Sarah Masud
8. Francesco Barbieri
9. Paul Röttger
10. Xiang Ren

Papers from Brendan Kennedy's perspective

Ordered by how strongly the researchers Brendan Kennedy 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
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. Gradient-based learning applied to document recognition
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning (2021) — 84 citations
• Contextualizing Hate Speech Classifiers with Post-hoc Explanation (2020) — 158 citations
• Fair Hate Speech Detection through Evaluation of Social Group Counterfactuals (2020) — 8 citations
• Bound in Hatred: The role of group-based morality in acts of hate (2019)
• The Gab Hate Corpus: A collection of 27k posts annotated for hate speech (2018) — 82 citations