Lea Frermann

Artificial Intelligence · with Szarvas · 2017

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Natural Language Processing — 8 citations into it

Whom Lea Frermann trusts overall

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

1. David Bamman
2. Yaroslav Ganin
3. Diederik P. Kingma
4. Aapo Hyvärinen
5. Mohit Iyyer
6. Raymond J. Mooney
7. Chong Wang
8. Snigdha Chaturvedi
9. David M. Blei
10. Jeffrey Pennington

Papers from Lea Frermann's perspective

Ordered by how strongly the researchers Lea Frermann 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
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

• Inducing Semantic Micro-Clusters from Deep Multi-View Representations of Novels (2017) — 11 citations