Karen Soldatic

Artificial Intelligence · 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 Karen Soldatic trusts overall

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

1. Alec Radford
2. Steven Bird
3. Geoffrey E. Hinton
4. Jeffrey Pennington
5. Yoshua Bengio
6. Richard Socher
7. Ilya Sutskever
8. Diederik P. Kingma
9. Ashish Vaswani

Papers from Karen Soldatic's perspective

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

Their papers

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