Amir Akbarnejad

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it; #12,100 of 35,345 by trust here, #14,438 by citations
• Graph Learning — 14 citations into it; #276 of 693 by trust here, #352 by citations
• Statistical and Nonlinear Physics — 8 citations into it

Whom Amir Akbarnejad trusts overall

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

1. Lada A. Adamic
2. Aleksandar Bojchevski
3. Stephen Coggeshall
4. Stephan Günnemann
5. Johannes Klicpera
6. Daniel Zügner
7. Yizheng Chen

Who trusts Amir Akbarnejad overall

1. Daniel Zügner
2. Stephan Günnemann
3. Marinka Zitnik
4. Aleksandar Bojchevski
5. Binghui Wang
6. Avishek Joey Bose
7. Wei Jin
8. Lichao Sun
9. Negin Entezari
10. Tailin Wu

Papers from Amir Akbarnejad's perspective

Ordered by how strongly the researchers Amir Akbarnejad 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. Intriguing properties of neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Adversarial Attacks on Neural Networks for Graph Data (2018) — 1,271 citations