V. Varadharajan

Artificial Intelligence · 2010–2020

A researcher in the Science corpus: 5 papers; trusts 64 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 146 citations into it; #34,244 of 35,345 by trust here, #14,181 by citations
• Computer Networks and Communications — 125 citations into it
• Signal Processing — 76 citations into it; #7,341 of 7,572 by trust here, #2,184 by citations
• Information Systems — 46 citations into it
• Computer Vision and Pattern Recognition — 24 citations into it
• Model Architectures — 8 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Natural Language Processing — 7 citations into it

Whom V. Varadharajan trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Richard S. Sutton
5. Ruslan Salakhutdinov
6. Kaiming He
7. Yann LeCun
8. Diederik P. Kingma
9. Wenliang Du
10. Ilya Sutskever

Who trusts V. Varadharajan overall

1. Ke He
2. Javed Asharf
3. Mohammed Ali Al-Garadi
4. Daniel S. Berman
5. Nadia Chaabouni

Papers from V. Varadharajan's perspective

Ordered by how strongly the researchers V. Varadharajan 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• TrustLite: a security architecture for tiny embedded devices (2014) — 383 citations
• A Survey on Machine Learning Techniques for Cyber Security in the Last Decade (2020) — 379 citations
• A Detailed Investigation and Analysis of Using Machine Learning Techniques for Intrusion Detection (2019) — 613 citations
• Autoencoder-based feature learning for cyber security applications (2017) — 300 citations
• Wireless sensor network key management survey and taxonomy (2010) — 310 citations