Lauren K Slone

Computer Vision and Pattern Recognition · 2017

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

• Computer Vision and Pattern Recognition — 13 citations into it
• Artificial Intelligence — 9 citations into it
• Cognitive Neuroscience — 7 citations into it
• Developmental and Educational Psychology — 7 citations into it
• Cognitive Science & Psychology — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Lauren K Slone trusts overall

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

1. S. Jones
2. Karin Harman James
3. Linda B. Smith
4. Jeffrey L. Elman
5. Yoshua Bengio

Papers from Lauren K Slone's perspective

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

Their papers

• A Developmental Approach to Machine Learning? (2017) — 101 citations