Jonas Meinertz Hansen

Natural Language Processing · 2017

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 13 citations into it; #4,711 of 5,688 by trust here, #5,214 by citations
• Artificial Intelligence — 12 citations into it; #28,692 of 35,345 by trust here, #30,347 by citations

Whom Jonas Meinertz Hansen trusts overall

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

1. Diederik P. Kingma
2. Yann LeCun
3. Sergey Ioffe
4. Geoffrey E. Hinton
5. Andreas Stolcke
6. Armand Joulin
7. Yoshua Bengio
8. Jimmy Ba
9. Alex Krizhevsky
10. Christian Szegedy

Who trusts Jonas Meinertz Hansen overall

1. John T. Hancock
2. J. Clark
3. Wang-Cheng Kang

Papers from Jonas Meinertz Hansen's perspective

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

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

Their papers

• Hash Embeddings for Efficient Word Representations (2017) — 99 citations