Philip John Gorinski

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #11,664 of 35,345 by trust here, #25,809 by citations
• Natural Language Processing — 5 citations into it; #2,257 of 5,688 by trust here, #4,682 by citations

Whom Philip John Gorinski trusts overall

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

1. David Bamman
2. James Clarke
3. Anders Björkelund
4. Heeyoung Lee
5. Noah A. Smith
6. Mirella Lapata
7. Brendan T. O'Connor
8. Ted Underwood
9. Love Hafdell
10. Yves Peirsman

Who trusts Philip John Gorinski overall

1. Maarten Sap
2. Hannah Rashkin
3. Rowan Zellers
4. Rishi Bommasani
5. Yejin Choi
6. Xinyao Ma
7. Jeff Wu
8. Claire Cardie
9. Marcella Cindy Prasettio
10. Long Ouyang

Papers from Philip John Gorinski's perspective

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

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

Their papers

• Movie Script Summarization as Graph-based Scene Extraction (2015) — 86 citations