Brandon Norick
Artificial Intelligence · 2014–2016
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it
- Information Systems — 17 citations into it
- Statistical and Nonlinear Physics — 9 citations into it
- Optimization & Training — 5 citations into it
Whom Brandon Norick trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Brandon Norick's perspective
Ordered by how strongly the researchers Brandon Norick trusts endorse each paper. Same corpus, a different order for every researcher.
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- A global geometric framework for nonlinear dimensionality reduction.
- Attention is All you Need (Neural Information Processing Systems)
- Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Large-Scale Machine Learning with Stochastic Gradient Descent
- Gradient-based learning applied to document recognition
Their papers
- Personalized entity recommendation: a heterogeneous information network approach (2014) — 774 citations
- Large-Scale Embedding Learning in Heterogeneous Event Data (2016) — 88 citations