Amanda LeBel

Cognitive Neuroscience · 2022

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 20 citations into it
• Artificial Intelligence — 13 citations into it

Whom Amanda LeBel trusts overall

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

1. Roger Levy
2. Charlotte Caucheteux
3. Thomas Naselaris
4. Jeffrey Pennington
5. Gopala Krishna Anumanchipalli
6. Alexander G. Huth
7. Shinji Nishimoto
8. Ari Holtzman

Papers from Amanda LeBel's perspective

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

1. GloVe: Global Vectors for Word Representation
2. Attention is All you Need (Neural Information Processing Systems)
3. Improving Language Understanding by Generative Pre-Training
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. PyTorch: An Imperative Style, High-Performance Deep Learning Library
9. The Curious Case of Neural Text Degeneration
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Semantic reconstruction of continuous language from non-invasive brain recordings (2022) — 435 citations