Thomas Übellacker

Artificial Intelligence · 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 Thomas Übellacker trusts overall

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

1. R. Caruana
2. Andrew M. Dai

Papers from Thomas Übellacker's perspective

Ordered by how strongly the researchers Thomas Übellacker 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. Semi-supervised Sequence Learning
4. An empirical comparison of supervised learning algorithms
5. Generalizing from a Few Examples
6. GPT-3: Its Nature, Scope, Limits, and Consequences
7. The Zero Marginal Cost Society: The Internet of Things, the Collaborative Commons, and the Eclipse of Capitalism
8. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. ImageNet classification with deep convolutional neural networks

Their papers

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