William S. Moses

Artificial Intelligence · 2018

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

Subfields

• Artificial Intelligence — 19 citations into it; #34,966 of 35,345 by trust here, #19,873 by citations
• Hardware and Architecture — 10 citations into it; #1,518 of 1,551 by trust here, #692 by citations

Whom William S. Moses trusts

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

1. Sven Verdoolaege (in Hardware and Architecture)

Who trusts William S. Moses

1. Gaurav Menghani (in Artificial Intelligence)

Papers from William S. Moses's perspective

Ordered by how strongly the researchers William S. Moses 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 classification with deep convolutional neural networks
3. Improving neural networks by preventing co-adaptation of feature detectors
4. Practical Bayesian Optimization of Machine Learning Algorithms
5. TensorFlow: A system for large-scale machine learning
6. Aggregated Residual Transformations for Deep Neural Networks
7. Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
8. Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
9. Handwritten Digit Recognition with a Back-Propagation Network
10. In-datacenter performance analysis of a tensor processing unit

Their papers

• Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions (2018) — 490 citations