Toby Shevlane
AI Ethics, Fairness & Society · 2019–2022
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- AI Ethics, Fairness & Society — 5 citations into it; #267 of 494 by trust here, #473 by citations
Whom Toby Shevlane trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Toby Shevlane overall
Papers from Toby Shevlane's perspective
Ordered by how strongly the researchers Toby Shevlane trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
Their papers
- Structured access: an emerging paradigm for safe AI deployment (2022) — 62 citations
- The Offense-Defense Balance of Scientific Knowledge: Does Publishing AI Research Reduce Misuse? (2019) — 34 citations