Nicholas Mastronarde
Statistics and Probability · 2018
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 9 citations into it; #10,052 of 12,932 by trust here, #11,487 by citations
- Artificial Intelligence — 8 citations into it; #26,986 of 35,345 by trust here, #33,294 by citations
- Probabilistic & Bayesian Methods — 8 citations into it
- Causal Inference & Discovery — 7 citations into it
Whom Nicholas Mastronarde trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Nicholas Mastronarde overall
Papers from Nicholas Mastronarde's perspective
Ordered by how strongly the researchers Nicholas Mastronarde 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)