Negin Entezari

Artificial Intelligence · 2020

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

Subfields

• Artificial Intelligence — 24 citations into it; #31,773 of 35,345 by trust here, #28,481 by citations
• Representation & Self-Supervised Learning — 10 citations into it
• Graph Learning — 9 citations into it
• Statistical and Nonlinear Physics — 5 citations into it; #8,862 of 10,127 by trust here, #7,402 by citations

Whom Negin Entezari trusts overall

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

1. Tomas Mikolov
2. Aleksandar Bojchevski
3. Lada A. Adamic
4. Bryan Perozzi
5. Daniel Zügner
6. Arjun Nitin Bhagoji
7. Stephan Günnemann
8. Geoffrey E. Hinton
9. Yoshua Bengio
10. Ilya Sutskever

Who trusts Negin Entezari overall

1. Marinka Zitnik

Papers from Negin Entezari's perspective

Ordered by how strongly the researchers Negin Entezari 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
10. Intriguing properties of neural networks

Their papers

• All You Need Is Low (Rank): Defending Against Adversarial Attacks on Graphs (2020) — 399 citations