Mike Higgins

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #13,563 of 35,345 by trust here, #6,796 by citations

Whom Mike Higgins trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton

Who trusts Mike Higgins overall

1. Rodrigo Nogueira
2. Yi Tay
3. Robin Jia
4. Mandar Joshi
5. Kai Sun

Papers from Mike Higgins's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
4. Dropout: a simple way to prevent neural networks from overfitting
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Teaching Machines to Read and Comprehend
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine (2017) — 496 citations