Josh Arnold

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it; #29,265 of 35,345 by trust here, #27,551 by citations
• Natural Language Processing — 26 citations into it; #4,755 of 5,688 by trust here, #4,879 by citations
• Safety, Robustness & Interpretability — 15 citations into it

Whom Josh Arnold trusts overall

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

1. Emily Sheng
2. Kai-Wei Chang
3. Clayton J. Hutto
4. Alec Radford
5. Emily Dinan
6. Marco Tulio Ribeiro
7. Premkumar Natarajan
8. Jiwei Li
9. Ilya Sutskever
10. Geoffrey E. Hinton

Who trusts Josh Arnold overall

1. Eric Michael Smith
2. Emily Dinan
3. Gavin Abercrombie
4. Emily Sheng

Papers from Josh Arnold's perspective

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

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

Their papers

• Revealing Persona Biases in Dialogue Systems (2021) — 46 citations