Arthur Spirling
Natural Language Processing · 2016–2023
A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 8 citations into it
- Artificial Intelligence — 6 citations into it; #33,927 of 35,345 by trust here, #28,481 by citations
- General Social Sciences — 6 citations into it
Whom Arthur Spirling trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Justin Grimmer
- David M. Blei
- Kevin M. Quinn
- Andrew Gelman
- Brandon M Stewart
- Burt L. Monroe
- Andrew Y. Ng
- Michael I. Jordan
Who trusts Arthur Spirling overall
Papers from Arthur Spirling's perspective
Ordered by how strongly the researchers Arthur Spirling trusts endorse each paper. Same corpus, a different order for every researcher.
- Latent Dirichlet Allocation
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Why open-source generative AI models are an ethical way forward for science (2023) — 113 citations
- Text Preprocessing For Unsupervised Learning: Why It Matters, When It Misleads, And What To Do About It (2017) — 471 citations
- Assessing the Consequences of Text Preprocessing Decisions (2016) — 15 citations