Mayank Rana

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it; #7,768 of 35,345 by trust here, #7,471 by citations
• Safety, Robustness & Interpretability — 20 citations into it; #539 of 2,251 by trust here, #641 by citations
• Computer Vision and Pattern Recognition — 16 citations into it

Whom Mayank Rana trusts overall

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

1. Christian Szegedy
2. Ian J. Goodfellow
3. Diederik P. Kingma
4. Alexey Kurakin
5. Kaiming He
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Yoshua Bengio
9. Yann LeCun
10. Sergey Ioffe

Who trusts Mayank Rana overall

1. Yinpeng Dong
2. Cihang Xie
3. Yisen Wang
4. Mathias Lécuyer
5. Yingwei Li
6. Shashank Kotyan
7. Eric Wong
8. A. Serban
9. Naveed Akhtar
10. Danilo Vasconcellos Vargas

Papers from Mayank Rana's perspective

Ordered by how strongly the researchers Mayank Rana trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. ImageNet: A large-scale hierarchical image database
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Countering Adversarial Images using Input Transformations (2018) — 1,638 citations