Arslan Munir

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #21,741 of 35,345 by trust here, #19,873 by citations
• Safety, Robustness & Interpretability — 8 citations into it

Whom Arslan Munir trusts overall

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

1. Nicolas Papernot
2. Ian J. Goodfellow
3. Patrick Drew McDaniel
4. Christian Szegedy
5. Richard S. Sutton
6. Geoffrey E. Hinton
7. Volodymyr Mnih
8. Alex Krizhevsky
9. Yann LeCun
10. Somesh Jha

Who trusts Arslan Munir overall

1. Ramitha Sundar
2. Nicholas Carlini

Papers from Arslan Munir's perspective

Ordered by how strongly the researchers Arslan Munir 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. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Intriguing properties of neural networks

Their papers

• Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks (2017) — 311 citations