Ryan D'Orazio
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 31 citations into it
- Optimization & Training — 30 citations into it
- Computational Mechanics — 22 citations into it
- Management Science and Operations Research — 12 citations into it
- Numerical Analysis — 8 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Ryan D'Orazio trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Amir Beck
- Nicolò Cesa-Bianchi
- Yurii E. Nesterov
- Chih-Jen Lin
- Elad Hazan
- Sharan Vaswani
- Sébastien Bubeck
- Francesco Orabona
- Ofer Dekel
- Dimitri P. Bertsekas
Who trusts Ryan D'Orazio overall
Papers from Ryan D'Orazio's perspective
Ordered by how strongly the researchers Ryan D'Orazio 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)