Joshua Whiting

Natural Language Processing · 2020

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

Subfields

• Natural Language Processing — 15 citations into it; #5,175 of 5,688 by trust here, #4,793 by citations

Whom Joshua Whiting trusts overall

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

1. Chin-Yew Lin
2. Angela Fan

Who trusts Joshua Whiting overall

1. Elizabeth Clark

Papers from Joshua Whiting's perspective

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

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

Their papers

• STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation (2020) — 98 citations