Benjamin M. Schmidt
2018–2024
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 5 researchers here, as inferred from the citation graph.
Whom Benjamin M. Schmidt trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Benjamin M. Schmidt overall
Papers from Benjamin M. Schmidt's perspective
Ordered by how strongly the researchers Benjamin M. Schmidt 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
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Going deeper with convolutions