Arbaaz Khan

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Reinforcement Learning — 8 citations into it

Whom Arbaaz Khan trusts overall

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

1. Alex Graves
2. Richard S. Sutton
3. Sergey Levine
4. Volodymyr Mnih
5. Geoffrey E. Hinton
6. Andrew Barto
7. Yoshua Bengio
8. Diederik P. Kingma
9. Alex Krizhevsky
10. Pieter Abbeel

Who trusts Arbaaz Khan overall

1. Saurabh Gupta
2. Kuan Fang
3. Piotr Wojciech Mirowski
4. Alexander Toshev
5. Varun Tolani
6. Valts Blukis

Papers from Arbaaz Khan's perspective

Ordered by how strongly the researchers Arbaaz Khan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
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. Going deeper with convolutions

Their papers

• Memory Augmented Control Networks (2017) — 80 citations