Randall Wald

Artificial Intelligence · 2015

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 — 22 citations into it
• Representation & Self-Supervised Learning — 15 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Randall Wald trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Quoc V. Le
5. Ilya Sutskever
6. Tomas Mikolov
7. Ruslan Salakhutdinov
8. Yann LeCun
9. Richard Socher
10. Diederik P. Kingma

Papers from Randall Wald's perspective

Ordered by how strongly the researchers Randall Wald 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. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. A Fast Learning Algorithm for Deep Belief Nets
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep learning applications and challenges in big data analytics (2015) — 2,363 citations