Sebastian Martschat

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Natural Language Processing — 19 citations into it

Whom Sebastian Martschat trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Xiaoqiang Luo
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Sepp Hochreiter
5. Xavier Glorot
6. Diederik P. Kingma
7. Ilya Sutskever
8. Sameer Pradhan
9. Alex Krizhevsky
10. J. Urgen Schmidhuber

Papers from Sebastian Martschat's perspective

Ordered by how strongly the researchers Sebastian Martschat trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Dropout: a simple way to prevent neural networks from overfitting
8. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Dynamic Entity Representations in Neural Language Models (2017) — 92 citations