Keenon Werling

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #27,425 of 35,345 by trust here, #32,362 by citations
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Keenon Werling trusts overall

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

1. Sudheendra Vijayanarasimhan
2. Michael S. Bernstein
3. Jenny Rose Finkel
4. Kristen Grauman
5. Trond Grenager
6. Christopher D. Manning
7. Richard S. Sutton
8. Joel Brandt
9. Alex Krizhevsky
10. Geoffrey E. Hinton

Who trusts Keenon Werling overall

1. Julian Michael
2. Luheng He
3. Gabriel Stanovsky
4. Luke S. Zettlemoyer

Papers from Keenon Werling's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• On-the-Job Learning with Bayesian Decision Theory (2015) — 23 citations