Jimbo Wilson

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it
• Safety, Robustness & Interpretability — 13 citations into it
• Evaluation & Benchmarks — 8 citations into it
• Computer Networks and Communications — 5 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Jimbo Wilson trusts

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

1. Been Kim (in Artificial Intelligence)
2. Peter Christen (in Computer Networks and Communications)

Papers from Jimbo Wilson's perspective

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

1. Gradient-based learning applied to document recognition
2. Long Short-Term Memory
3. ImageNet: A large-scale hierarchical image database
4. Going deeper with convolutions
5. ImageNet Large Scale Visual Recognition Challenge
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. Rethinking the Inception Architecture for Computer Vision
8. Deep Learning
9. Scikit-learn: Machine Learning in Python
10. Representation Learning: A Review and New Perspectives

Their papers

• No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World (2017) — 343 citations
• Scalable and accurate deep learning with electronic health records (2018) — 2,800 citations
• The What-If Tool: Interactive Probing of Machine Learning Models (2019) — 600 citations
• Visualizing Dataflow Graphs of Deep Learning Models in TensorFlow (2018) — 348 citations