Sebastian Stüker
Artificial Intelligence · 2011–2020
A researcher in the Science corpus: 8 papers; trusts 59 researchers and is trusted by 49 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 98 citations into it; #32,503 of 35,345 by trust here, #12,244 by citations
- Natural Language Processing — 70 citations into it; #1,227 of 5,688 by trust here, #1,453 by citations
- Evaluation & Benchmarks — 47 citations into it; #654 of 3,147 by trust here, #842 by citations
- Speech & Audio — 32 citations into it; #973 of 1,076 by trust here, #694 by citations
- Computer Vision and Pattern Recognition — 26 citations into it
- Model Architectures — 20 citations into it; #2,054 of 2,278 by trust here, #1,665 by citations
- Signal Processing — 20 citations into it; #7,021 of 7,572 by trust here, #3,428 by citations
- Statistics and Probability — 7 citations into it
Whom Sebastian Stüker trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Philipp Koehn
- Mauro Cettolo
- J. Fleiss
- Marcello Federico
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Alex Graves
- Matthew G. Snover
- Ilya Sutskever
Who trusts Sebastian Stüker overall
- Mauro Cettolo
- Rico Sennrich
- Eric Wallace
- Xu Tan
- Marcello Federico
- Po-Sen Huang
- Michael Auli
- David Grangier
- Julian Salazar
- Alessandro Raganato
Papers from Sebastian Stüker's perspective
Ordered by how strongly the researchers Sebastian Stüker trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
Their papers
- Self-Attentional Acoustic Models (2018) — 160 citations
- Linguistic Unit Discovery from Multi-Modal Inputs in Unwritten Languages: Summary of the “Speaking Rosetta” JSALT 2017 Workshop (2018) — 34 citations
- FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN (2020) — 140 citations
- Open Source Toolkit for Speech to Text Translation (2018) — 14 citations
- The IWSLT 2015 Evaluation Campaign (2015) — 165 citations
- Report on the 11th IWSLT evaluation campaign (2014) — 423 citations
- The IWSLT 2011 Evaluation Campaign on Automatic Talk Translation (2012) — 42 citations
- Overview of the IWSLT 2011 evaluation campaign (2011) — 84 citations