Carina Kauf

Artificial Intelligence · 2020

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 — 53 citations into it
• Cognitive Neuroscience — 41 citations into it
• Natural Language Processing — 31 citations into it
• Large Language Models — 17 citations into it
• Developmental and Educational Psychology — 9 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Carina Kauf trusts overall

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

1. Geoffrey E. Hinton
2. Richard Socher
3. Yoshua Bengio
4. Alex Krizhevsky
5. Ilya Sutskever
6. Diederik P. Kingma
7. Tomas Mikolov

Papers from Carina Kauf's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. GloVe: Global Vectors for Word Representation

Their papers

• The neural architecture of language: Integrative modeling converges on predictive processing (2020) — 663 citations