Farzaneh Mahdisoltani

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 108 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Computer Vision and Pattern Recognition — 29 citations into it
• Evaluation & Benchmarks — 13 citations into it
• Natural Language Processing — 8 citations into it
• Model Architectures — 6 citations into it

Whom Farzaneh Mahdisoltani trusts overall

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

1. Karen Simonyan
2. Kaiming He
3. Andrew Zisserman
4. Ilya Sutskever
5. Jeff Donahue
6. Geoffrey E. Hinton
7. Sergey Ioffe
8. Ronald J. Williams
9. Alex Krizhevsky
10. Ross B. Girshick

Who trusts Farzaneh Mahdisoltani overall

1. Heiko Paulheim
2. Yuji Roh
3. Michael Röder
4. Luis Galárraga
5. Zhanqiu Zhang
6. Peng Wang
7. Andrea Rossi
8. Thomas Rebele
9. Ines Chami
10. Yuting Wu

Papers from Farzaneh Mahdisoltani's perspective

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

Their papers

• ON THE EFFECTIVENESS OF TASK GRANULARITY FOR TRANSFER LEARNING (2018) — 71 citations
• YAGO3: A Knowledge Base from Multilingual Wikipedias (2015) — 1,028 citations