Joshua Slocum

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Computer Vision and Pattern Recognition — 29 citations into it
• Model Architectures — 11 citations into it

Whom Joshua Slocum trusts overall

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

1. Alex Krizhevsky
2. Barret Zoph
3. Ronald J. Williams
4. Geoffrey E. Hinton
5. Quoc V. Le
6. Kaiming He
7. Yoshua Bengio
8. Ilya Sutskever
9. Christian Szegedy
10. Bowen Baker

Papers from Joshua Slocum's perspective

Ordered by how strongly the researchers Joshua Slocum 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. Learning Multiple Layers of Features from Tiny Images
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• RC-DARTS: Resource Constrained Differentiable Architecture Search (2019) — 37 citations