Michael Poli
Artificial Intelligence · 2022–2023
A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 79 citations into it
- Computer Vision and Pattern Recognition — 57 citations into it
- Model Architectures — 39 citations into it
- Computational Mechanics — 13 citations into it
- Radiology, Nuclear Medicine and Imaging — 8 citations into it
Whom Michael Poli trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Tri Dao
- Yoshua Bengio
- Diederik P. Kingma
- Alex Krizhevsky
- Kaiming He
- Yann LeCun
- Ilya Sutskever
- Albert Gu
- Quoc V. Le
Who trusts Michael Poli overall
Papers from Michael Poli's perspective
Ordered by how strongly the researchers Michael Poli trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- 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)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Hyena Hierarchy: Towards Larger Convolutional Language Models (2023) — 532 citations
- Monarch: Expressive Structured Matrices for Efficient and Accurate Training (2022) — 133 citations
- HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution (2023) — 513 citations