Vishaal Munusamy Kabilan

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Safety, Robustness & Interpretability — 28 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Generative Models — 8 citations into it

Whom Vishaal Munusamy Kabilan trusts overall

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

1. Ian J. Goodfellow
2. Diederik P. Kingma
3. Yann LeCun
4. Nicholas Carlini
5. Nicolas Papernot
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Christian Szegedy
9. Yoshua Bengio
10. Ilya Sutskever

Papers from Vishaal Munusamy Kabilan's perspective

Ordered by how strongly the researchers Vishaal Munusamy Kabilan 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. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• VectorDefense: Vectorization as a Defense to Adversarial Examples (2018) — 22 citations