Maryam Fazel-Zarandi
Artificial Intelligence · 2017–2023
A researcher in the Science corpus: 5 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 123 citations into it
- Natural Language Processing — 56 citations into it
- Computer Vision and Pattern Recognition — 32 citations into it
- Reinforcement Learning — 11 citations into it
Whom Maryam Fazel-Zarandi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ilya Sutskever
- Yoshua Bengio
- Heriberto Cuayáhuitl
- Volodymyr Mnih
- James Bergstra
- Geoffrey E. Hinton
- Jason Williams
- Kyunghyun Cho
- Alex Graves
- Diederik P. Kingma
Who trusts Maryam Fazel-Zarandi overall
Papers from Maryam Fazel-Zarandi's perspective
Ordered by how strongly the researchers Maryam Fazel-Zarandi trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- 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)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Learning Robust Dialog Policies in Noisy Environments (2017) — 24 citations
- Evolutionary-scale prediction of atomic level protein structure with a language model (2022) — 5,058 citations
- Scaling Speech Technology to 1, 000+ Languages (2023) — 691 citations
- Shepherd: A Critic for Language Model Generation (2023) — 115 citations
- Data Augmentation for Training Dialog Models Robust to Speech Recognition Errors (2020) — 33 citations