Thomas Fisher

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Natural Language Processing — 16 citations into it
• Safety, Robustness & Interpretability — 16 citations into it

Whom Thomas Fisher trusts overall

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

1. Jieyu Zhao

Papers from Thomas Fisher's perspective

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

1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
2. Distilling the Knowledge in a Neural Network (arXiv.org)
3. Attention is All you Need (Neural Information Processing Systems)
4. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet classification with deep convolutional neural networks
9. Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models (2021) — 102 citations