Roman Klinger

Artificial Intelligence · 2008–2018

A researcher in the Science corpus: 3 papers; trusts 69 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it; #28,140 of 35,345 by trust here, #16,771 by citations
• Natural Language Processing — 27 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Model Architectures — 6 citations into it
• Evaluation & Benchmarks — 5 citations into it
• Information Systems — 5 citations into it

Whom Roman Klinger trusts overall

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

1. Geoffrey E. Hinton
2. Tomas Mikolov
3. Diederik P. Kingma
4. Richard Socher
5. Yoshua Bengio
6. Ilya Sutskever
7. Alex Krizhevsky
8. Yann LeCun
9. Jimmy Ba
10. John Blitzer

Who trusts Roman Klinger overall

1. Magdalena Biesialska
2. Catherine Wong
3. Baiyun Cui

Papers from Roman Klinger's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. ImageNet classification with deep convolutional neural networks
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Overview of BioCreative II gene mention recognition (2008) — 541 citations
• Projecting Embeddings for Domain Adaption: Joint Modeling of Sentiment Analysis in Diverse Domains (2018) — 34 citations
• Assessing State-of-the-Art Sentiment Models on State-of-the-Art Sentiment Datasets (2017) — 75 citations