David Andrzejewski

Natural Language Processing · 2009–2012

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 9 citations into it
• Artificial Intelligence — 8 citations into it; #10,084 of 35,345 by trust here, #17,110 by citations

Whom David Andrzejewski trusts overall

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

1. David M. Blei
2. Andrew Y. Ng
3. Michael I. Jordan
4. T. Griffiths
5. Radford M. Neal
6. Geoffrey E. Hinton

Who trusts David Andrzejewski overall

1. Zhiyuan Chen
2. B. Liu
3. Arjun Mukherjee
4. Nikolaos Aletras
5. Yuening Hu
6. Shuai Wang
7. Finale Doshi-Velez
8. Sergey I. Nikolenko
9. Mekhail Mustak
10. Ryan J. Gallagher

Papers from David Andrzejewski's perspective

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

Their papers

• Incorporating Domain Knowledge into Topic Modeling via Dirichlet Forest Priors (2009) — 479 citations
• Exploring Topic Coherence over Many Models and Many Topics (2012) — 573 citations