David C. Uthus

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 45 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 62 citations into it
• Natural Language Processing — 51 citations into it
• Safety, Robustness & Interpretability — 17 citations into it
• Large Language Models — 14 citations into it
• Evaluation & Benchmarks — 8 citations into it
• General Social Sciences — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom David C. Uthus trusts overall

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

1. Jieyu Zhao
2. Jacob Devlin
3. Geoffrey E. Hinton
4. Ashish Vaswani
5. Yoshua Bengio
6. Juncen Li
7. Diederik P. Kingma
8. Ilya Sutskever
9. Kai-Wei Chang
10. Alex Krizhevsky

Papers from David C. Uthus's perspective

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

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

Their papers

• LongT5: Efficient Text-To-Text Transformer for Long Sequences (2021) — 414 citations
• TextSETTR: Label-Free Text Style Extraction and Tunable Targeted Restyling (2021) — 14 citations
• Investigating Societal Biases in a Poetry Composition System (2020) — 68 citations