Marco René Spruit

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #33,492 of 35,345 by trust here, #34,213 by citations
• Natural Language Processing — 7 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Marco René Spruit trusts overall

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

1. Thomas Hofmann
2. David M. Blei
3. Xuerui Wang
4. Radim Rehurek
5. Carson Sievert
6. Matthew D. Hoffman
7. David Leo Wright Hall
8. Michael Röder
9. Michael I. Jordan
10. Jason Chuang

Who trusts Marco René Spruit overall

1. D. Angelov

Papers from Marco René Spruit's perspective

Ordered by how strongly the researchers Marco René Spruit 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Latent Dirichlet Allocation
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Full-Text or Abstract? Examining Topic Coherence Scores Using Latent Dirichlet Allocation (2017) — 363 citations