Matthias Paulik

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 46 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it; #30,521 of 35,345 by trust here, #28,481 by citations
• Natural Language Processing — 22 citations into it; #4,959 of 5,688 by trust here, #5,092 by citations
• Machine Translation — 14 citations into it
• Speech & Audio — 11 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Matthias Paulik trusts overall

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

1. Yoshua Bengio
2. Hermann Ney
3. Franz Joseph Och
4. Philipp Koehn
5. Alexandre Berard
6. Matthias Sperber
7. Geoffrey E. Hinton
8. Diederik P. Kingma
9. Ilya Sutskever
10. Sameer Bansal

Who trusts Matthias Paulik overall

1. Graham Neubig
2. Zi-Yi Dou

Papers from Matthias Paulik's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. ImageNet classification with deep convolutional neural networks
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Speech Translation and the End-to-End Promise: Taking Stock of Where We Are (2020) — 126 citations
• Jointly Learning to Align and Translate with Transformer Models (2019) — 186 citations