Zain Shah

Reinforcement Learning · 2016

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

• Reinforcement Learning — 14 citations into it; #2,180 of 2,242 by trust here, #1,371 by citations
• Artificial Intelligence — 12 citations into it; #34,340 of 35,345 by trust here, #15,542 by citations

Whom Zain Shah trusts overall

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

1. Alex Krizhevsky
2. Sergey Levine
3. Geoffrey E. Hinton
4. Chelsea Finn
5. Pieter Abbeel
6. Ilya Sutskever
7. Marc Peter Deisenroth
8. Jonathan Ho
9. Diederik P. Kingma
10. E. Todorov

Who trusts Zain Shah overall

1. Ignasi Clavera Gilaberte
2. Cameron S. Allen
3. Josiah P. Hanna

Papers from Zain Shah's perspective

Ordered by how strongly the researchers Zain Shah 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. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model (2016) — 270 citations