Samuel Ginn

Natural Language Processing · 2017

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 15 citations into it; #3,940 of 5,688 by trust here, #3,897 by citations
• Artificial Intelligence — 12 citations into it; #23,457 of 35,345 by trust here, #19,873 by citations
• Computer Vision and Pattern Recognition — 5 citations into it; #14,501 of 21,575 by trust here, #13,269 by citations

Whom Samuel Ginn trusts overall

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

1. Percy Liang
2. Luke S. Zettlemoyer
3. John C. Duchi
4. Panupong Pasupat
5. Sumit Gulwani
6. Michael I. Jordan
7. Sida I. Wang
8. Tom Kwiatkowski
9. Geoffrey E. Hinton
10. Michael Collins

Who trusts Samuel Ginn overall

1. Siddharth Karamcheti
2. Sahisnu Mazumder

Papers from Samuel Ginn's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
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

• Naturalizing a Programming Language via Interactive Learning (2017) — 80 citations