Rainer Gemulla
Artificial Intelligence · 2011–2018
A researcher in the Science corpus: 4 papers; trusts 33 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it; #8,170 of 35,345 by trust here, #9,092 by citations
- Natural Language Processing — 22 citations into it; #5,216 of 5,688 by trust here, #5,296 by citations
- Information Systems — 20 citations into it
- Information Retrieval & Search — 11 citations into it; #942 of 1,022 by trust here, #916 by citations
- Optimization & Training — 9 citations into it; #1,334 of 2,601 by trust here, #1,072 by citations
- Computer Vision and Pattern Recognition — 8 citations into it; #9,057 of 21,575 by trust here, #8,021 by citations
- Representation & Self-Supervised Learning — 7 citations into it
Whom Rainer Gemulla trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thomas Hofmann
- Ryan T. McDonald
- Daniel D. Lee
- Steffen Rendle
- Yehuda Koren
- Ilya Sutskever
- Yoshua Bengio
- Diederik P. Kingma
- Gideon S. Mann
- Geoffrey E. Hinton
Who trusts Rainer Gemulla overall
- Christopher C. Johnson
- Peva Blanchard
- Qirong Ho
- Eric P. Xing
- Henggang Cui
- Anna Rohrbach
- Aaron Harlap
- Xiangnan He
- Seunghak Lee
- Wei-Sheng Chin
Papers from Rainer Gemulla's perspective
Ordered by how strongly the researchers Rainer Gemulla trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- 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)
- Attention is All you Need (Neural Information Processing Systems)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Large-scale matrix factorization with distributed stochastic gradient descent (2011) — 704 citations
- ClausIE: clause-based open information extraction (2013) — 556 citations
- CORE: Context-Aware Open Relation Extraction with Factorization Machines (2015) — 32 citations
- A Neural Autoencoder Approach for Document Ranking and Query Refinement in Pharmacogenomic Information Retrieval (2018) — 12 citations