Surya Nepal

Artificial Intelligence · 2013–2021

A researcher in the Science corpus: 9 papers; trusts 50 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 183 citations into it; #31,483 of 35,345 by trust here, #10,942 by citations
• Computer Networks and Communications — 91 citations into it
• Signal Processing — 88 citations into it; #6,795 of 7,572 by trust here, #1,820 by citations
• Statistical and Nonlinear Physics — 60 citations into it
• Computer Vision and Pattern Recognition — 57 citations into it
• Information Systems — 51 citations into it
• Safety, Robustness & Interpretability — 50 citations into it; #1,980 of 2,251 by trust here, #1,512 by citations
• Software — 29 citations into it

Whom Surya Nepal trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Yann LeCun
5. Yoshua Bengio
6. Tomas Mikolov
7. Ilya Sutskever
8. Kaiming He
9. Christian Szegedy
10. Oriol Vinyals

Who trusts Surya Nepal overall

1. Vitaly Shmatikov
2. Eugene Bagdasarian

Papers from Surya Nepal's perspective

Ordered by how strongly the researchers Surya Nepal 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. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things (2020) — 244 citations
• A survey of trust in social networks (2013) — 679 citations
• A Comprehensive Survey on Community Detection With Deep Learning (2021) — 454 citations
• A Survey of Android Malware Detection with Deep Neural Models (2020) — 298 citations
• STRIP: a defence against trojan attacks on deep neural networks (2019) — 1,077 citations
• Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection (2018) — 296 citations
• IoT Middleware: A Survey on Issues and Enabling Technologies (2017) — 641 citations
• Internet of Things (IoT) (2016) — 878 citations
• A survey of emerging threats in cybersecurity (2014) — 755 citations