Simon Hegelich

Artificial Intelligence · 2020

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 — 23 citations into it
• Natural Language Processing — 13 citations into it
• Safety, Robustness & Interpretability — 13 citations into it
• Sociology and Political Science — 6 citations into it

Whom Simon Hegelich trusts overall

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

1. Edward Loper
2. Batya Friedman
3. Jeffrey Pennington
4. Aylin Caliskan
5. William L. Hamilton
6. A. Greenwald
7. Aleksandr Drozd
8. Robert Remus
9. Frank Asbrock
10. Tomas Mikolov

Papers from Simon Hegelich's perspective

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

1. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. GloVe: Global Vectors for Word Representation
4. ImageNet classification with deep convolutional neural networks
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Bias in word embeddings (2020) — 109 citations