Stefan Huber

Artificial Intelligence · with Thiergart · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it

Whom Stefan Huber trusts overall

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

1. R. Caruana
2. Andrew M. Dai
3. Quoc V. Le

Papers from Stefan Huber's perspective

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

1. GloVe: Global Vectors for Word Representation
2. Language Models are Few-Shot Learners (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Semi-supervised Sequence Learning
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Understanding Emails and Drafting Responses - An Approach Using GPT-3 (2021) — 30 citations