Katherine Harvey

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Natural Language Processing — 14 citations into it
• Safety, Robustness & Interpretability — 13 citations into it
• Cognitive Neuroscience — 7 citations into it

Whom Katherine Harvey trusts overall

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

1. Yonatan Belinkov
2. Yoshua Bengio
3. Philipp Koehn
4. Alec Radford
5. Geoffrey E. Hinton
6. Barbara Olshausen

Papers from Katherine Harvey's perspective

Ordered by how strongly the researchers Katherine Harvey 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Layer Normalization
8. Language Models are Few-Shot Learners (Neural Information Processing Systems)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Finding Neurons in a Haystack: Case Studies with Sparse Probing (2023) — 363 citations