Nathan Baker
Computational Theory and Mathematics · 2017
A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 31 citations into it; #5,509 of 12,182 by trust here, #4,531 by citations
- Materials Chemistry — 29 citations into it; #3,607 of 11,513 by trust here, #8,733 by citations
- Molecular Biology — 25 citations into it; #10,927 of 17,773 by trust here, #16,150 by citations
- Computer Vision and Pattern Recognition — 21 citations into it
- Computational Chemistry & Drug Discovery — 20 citations into it
- Artificial Intelligence — 18 citations into it
- Model Architectures — 9 citations into it
Whom Nathan Baker trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Nathan Baker overall
Papers from Nathan Baker's perspective
Ordered by how strongly the researchers Nathan Baker 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)
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- 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)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge