Stefan Thater
Artificial Intelligence · 2011–2018
A researcher in the Science corpus: 6 papers; trusts 70 researchers and is trusted by 243 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 67 citations into it; #6,997 of 35,345 by trust here, #4,489 by citations
- Natural Language Processing — 63 citations into it; #1,494 of 5,688 by trust here, #784 by citations
- Computer Vision and Pattern Recognition — 37 citations into it; #2,546 of 21,575 by trust here, #4,372 by citations
- Evaluation & Benchmarks — 27 citations into it
- Representation & Self-Supervised Learning — 11 citations into it
- Information Systems — 7 citations into it
Whom Stefan Thater trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Christopher D. Manning
- Roberto Navigli
- Yoshua Bengio
- Richard Socher
- Michaela Regneri
- Ilya Sutskever
- Tomas Mikolov
- Diederik P. Kingma
- Alex Krizhevsky
Who trusts Stefan Thater overall
- Marcus Rohrbach
- Anna Rohrbach
- Qi Wu
- Jun Xu
- Bo Dai
- Erik Cambria
- Yunchen Pu
- Lisa Anne Hendricks
- Oren Melamud
Papers from Stefan Thater's perspective
Ordered by how strongly the researchers Stefan Thater 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Translating Video Content to Natural Language Descriptions (2013) — 381 citations
- Grounding Action Descriptions in Videos (2013) — 568 citations
- MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge (2018) — 105 citations
- SemEval-2018 Task 11: Machine Comprehension Using Commonsense Knowledge (2018) — 113 citations
- What Substitutes Tell Us - Analysis of an “All-Words” Lexical Substitution Corpus (2014) — 98 citations
- Robust Disambiguation of Named Entities in Text (2011) — 1,172 citations