S. Robertson

Artificial Intelligence · with Ghahremanlou · 2021

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Natural Language Processing — 21 citations into it
• Safety, Robustness & Interpretability — 16 citations into it
• Large Language Models — 6 citations into it

Whom S. Robertson trusts overall

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

1. Alec Radford
2. Steven Bird

Papers from S. Robertson's perspective

Ordered by how strongly the researchers S. Robertson 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. GloVe: Global Vectors for Word Representation
5. Language Models are Unsupervised Multitask Learners
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Improving Language Understanding by Generative Pre-Training
9. Gradient-based learning applied to document recognition
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Intersectional Bias in Causal Language Models (2021) — 45 citations