Tyler Finethy

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it

Whom Tyler Finethy trusts overall

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

1. Alexander Pak
2. Xiaojin Zhu
3. David M. Blei
4. Mark Graham
5. Bernardo A. Huberman
6. Lars Backstrom
7. Zhiyuan Cheng
8. Jacob Eisenstein
9. David Jurgens

Who trusts Tyler Finethy overall

1. David Jurgens
2. Mark Dredze
3. Isaac L. Johnson
4. David García

Papers from Tyler Finethy's perspective

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

1. Latent Dirichlet Allocation
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. ImageNet classification with deep convolutional neural networks
7. Scikit-learn: Machine Learning in Python
8. Gradient-based learning applied to document recognition
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• The Astropy Project: Building an Open-science Project and Status of the v2.0 Core Package (2018) — 6,365 citations
• Everyone's Invited: A New Paradigm for Evaluation on Non-Transferable Datasets (2015) — 3 citations
• Geolocation Prediction in Twitter Using Social Networks: A Critical Analysis and Review of Current Practice (2015) — 231 citations