Emma Kerinec

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it

Whom Emma Kerinec trusts overall

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

1. R. Caruana
2. Jonathan Baxter
3. Andreas Maurer
4. Anders Søgaard
5. Diederik P. Kingma
6. Barbara Plank
7. Nicolai Meinshausen
8. Ronan Collobert
9. Mark Dredze
10. Jimmy Ba

Papers from Emma Kerinec's perspective

Ordered by how strongly the researchers Emma Kerinec 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. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• When does deep multi-task learning work for loosely related document classification tasks? (2018) — 7 citations