Mehrad Moradshahi
Artificial Intelligence · 2019–2022
A researcher in the Science corpus: 4 papers; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 128 citations into it
- Natural Language Processing — 101 citations into it
- Computer Vision and Pattern Recognition — 50 citations into it
- Large Language Models — 24 citations into it
- Model Architectures — 14 citations into it
- Optimization & Training — 5 citations into it
Whom Mehrad Moradshahi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Ilya Sutskever
- Diederik P. Kingma
- Yoshua Bengio
- Sepp Hochreiter
- Jimmy Ba
- Alex Krizhevsky
- Jason Aaron Edward Weston
- J. Urgen Schmidhuber
- Oriol Vinyals
Who trusts Mehrad Moradshahi overall
Papers from Mehrad Moradshahi's perspective
Ordered by how strongly the researchers Mehrad Moradshahi trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks (2022) — 1,112 citations
- Zero-Shot Transfer Learning with Synthesized Data for Multi-Domain Dialogue State Tracking (2020) — 100 citations
- HUBERT Untangles BERT to Improve Transfer across NLP Tasks (2019) — 19 citations
- Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks (2022) — 156 citations