S. Weng

Artificial Intelligence · with Garibaldi · 2012–2017

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it

Whom S. Weng trusts overall

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

1. Yoshua Bengio
2. T. Cole
3. Sarah E. Barlow
4. J. Dixon
5. R. Newson

Who trusts S. Weng overall

1. Ahmed M. Alaa

Papers from S. Weng's perspective

Ordered by how strongly the researchers S. Weng 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Can machine-learning improve cardiovascular risk prediction using routine clinical data? (2017) — 1,188 citations
• Systematic review and meta-analyses of risk factors for childhood overweight identifiable during infancy (2012) — 600 citations