Gavin Kerrigan

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it

Whom Gavin Kerrigan trusts overall

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

1. Cynthia Dwork
2. Jacob Devlin
3. H. Brendan McMahan
4. Jesse Dodge
5. Zhuohan Li
6. Yinhan Liu
7. Aaron Roth
8. Sepp Hochreiter
9. Joshua Goodman
10. Geoffrey E. Hinton

Papers from Gavin Kerrigan's perspective

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

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

Their papers

• Differentially Private Language Models Benefit from Public Pre-training (2020) — 71 citations