Avinash Tulasi

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 84 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it
• Safety, Robustness & Interpretability — 39 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it
• Signal Processing — 10 citations into it

Whom Avinash Tulasi trusts overall

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

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

Papers from Avinash Tulasi's perspective

Ordered by how strongly the researchers Avinash Tulasi 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• A Survey of Black-Box Adversarial Attacks on Computer Vision Models (2019) — 91 citations