Ramin Tavakoli Kolagari

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 57 citations into it
• Safety, Robustness & Interpretability — 53 citations into it
• Signal Processing — 19 citations into it
• Computer Networks and Communications — 16 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Ramin Tavakoli Kolagari trusts overall

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

1. Battista Biggio
2. Nicolas Papernot
3. Ian J. Goodfellow
4. Geoffrey E. Hinton
5. Patrick Drew McDaniel
6. Alex Krizhevsky
7. Florian Tramèr
8. Blaine Nelson
9. Yann LeCun
10. Daniel Lowd

Papers from Ramin Tavakoli Kolagari's perspective

Ordered by how strongly the researchers Ramin Tavakoli Kolagari 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. Learning Multiple Layers of Features from Tiny Images
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Intriguing properties of neural networks
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Attacks on Machine Learning: Lurking Danger for Accountability (2019) — 7 citations