Daniel Maier

Artificial Intelligence · 2018

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

Subfields

• Artificial Intelligence — 13 citations into it
• Natural Language Processing — 7 citations into it

Whom Daniel Maier trusts overall

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

1. David M. Blei
2. Justin Grimmer
3. T. Griffiths
4. Michael I. Jordan
5. Carson Sievert
6. Yee Whye Teh
7. Hanna M. Wallach
8. David Mimno
9. Radford M. Neal
10. Andrew Y. Ng

Papers from Daniel Maier's perspective

Ordered by how strongly the researchers Daniel Maier 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Latent Dirichlet Allocation
5. Gradient-based learning applied to document recognition
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Applying LDA Topic Modeling in Communication Research: Toward a Valid and Reliable Methodology (2018) — 736 citations