James Pinkerton

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Reinforcement Learning — 10 citations into it

Whom James Pinkerton trusts

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

1. Christopher D. Rosin (in Artificial Intelligence)

Papers from James Pinkerton's perspective

Ordered by how strongly the researchers James Pinkerton 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 Large Scale Visual Recognition Challenge
3. Improved Techniques for Training GANs
4. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
5. Mastering the game of Go without human knowledge
6. Bandit Based Monte-Carlo Planning
7. A Survey of Monte Carlo Tree Search Methods
8. Image quality assessment: from error visibility to structural similarity
9. The Solution for the Branching Factor of the Alpha-Beta Pruning Algorithm
10. Instance Normalization: The Missing Ingredient for Fast Stylization

Their papers

• ELF OpenGo: An Analysis and Open Reimplementation of AlphaZero (2019) — 120 citations
• fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning. (2020) — 514 citations
• fastMRI: An Open Dataset and Benchmarks for Accelerated MRI (2018) — 1,072 citations