Eric G. Taylor

Artificial Intelligence · 2012

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

Subfields

• Artificial Intelligence — 5 citations into it; #33,420 of 35,345 by trust here, #33,294 by citations

Whom Eric G. Taylor trusts overall

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

1. T. Griffiths
2. Josh Tenenbaum
3. John R. Anderson
4. Patricia W. Cheng

Who trusts Eric G. Taylor overall

1. Eric Mandelbaum
2. Sebastiano Costa

Papers from Eric G. Taylor's perspective

Ordered by how strongly the researchers Eric G. Taylor 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. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Going deeper with convolutions
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Structure and strength in causal induction.

Their papers

• Causal imprinting in causal structure learning. (2012) — 20 citations