Farrokh Mehryary
Artificial Intelligence · 2016–2024
A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 10 citations into it
Whom Farrokh Mehryary trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Razvan C. Bunescu
- Diederik P. Kingma
- Sepp Hochreiter
- Geoffrey E. Hinton
- Ilya Sutskever
- Eugene Charniak
- Yoshua Bengio
- Raymond J. Mooney
- Tomas Mikolov
- Marie-Catherine de Marneffe
Papers from Farrokh Mehryary's perspective
Ordered by how strongly the researchers Farrokh Mehryary trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Dropout: a simple way to prevent neural networks from overfitting
Their papers
- The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens (2019) — 434 citations
- The STRING database in 2023: protein–protein association networks and functional enrichment analyses for any sequenced genome of interest (2022) — 7,413 citations
- The STRING database in 2025: protein networks with directionality of regulation (2024) — 542 citations
- Deep Learning with Minimal Training Data: TurkuNLP Entry in the BioNLP Shared Task 2016 (2016) — 40 citations