Sara Veldhoen

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Natural Language Processing — 8 citations into it; #2,871 of 5,688 by trust here, #4,539 by citations

Whom Sara Veldhoen trusts overall

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

1. Diederik P. Kingma
2. Richard Socher
3. Kyunghyun Cho
4. Jimmy Ba
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Ilya Sutskever
8. Christopher D. Manning
9. Andrew Y. Ng
10. Alex Krizhevsky

Who trusts Sara Veldhoen overall

1. Yonatan Belinkov
2. Dieuwke Hupkes
3. Amil Merchant
4. Jason Wei
5. Jesse Vig
6. James R. Glass
7. Ellie Pavlick
8. Elahe Rahimtoroghi
9. Dan Garrette
10. Tal Linzen

Papers from Sara Veldhoen's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Diagnostic Classifiers Revealing how Neural Networks Process Hierarchical Structure (2016) — 47 citations