Stefan Ultes

Artificial Intelligence · 2014–2018

A researcher in the Science corpus: 9 papers; trusts 83 researchers and is trusted by 60 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 171 citations into it; #3,738 of 35,345 by trust here, #2,061 by citations
• Natural Language Processing — 135 citations into it; #1,139 of 5,688 by trust here, #576 by citations
• Reinforcement Learning — 43 citations into it
• Computer Vision and Pattern Recognition — 28 citations into it; #21,265 of 21,575 by trust here, #11,721 by citations
• Model Architectures — 17 citations into it
• Dialogue & Conversational AI — 15 citations into it; #119 of 131 by trust here, #62 by citations
• Large Language Models — 9 citations into it
• Optimization & Training — 9 citations into it

Whom Stefan Ultes trusts overall

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

1. Milica Gasic
2. Matthew Henderson
3. Richard S. Sutton
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Ilya Sutskever
7. Diederik P. Kingma
8. Oriol Vinyals
9. Alex Graves
10. Pei-hao Su

Who trusts Stefan Ultes overall

1. Bing Liu
2. Mihir Kale
3. Andrea Madotto
4. Abhinav Rastogi
5. Paweł Budzianowski
6. Pararth Shah
7. Fei Mi
8. Li Zhou
9. Christian Geishauser
10. Chien-Sheng Wu

Papers from Stefan Ultes's perspective

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

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

Their papers

• A Network-based End-to-End Trainable Task-oriented Dialogue System (2016) — 1,155 citations
• MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling (2018) — 1,527 citations
• Continuously Learning Neural Dialogue Management (2016) — 123 citations
• Sample-efficient Actor-Critic Reinforcement Learning with Supervised Data for Dialogue Management (2017) — 135 citations
• On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems (2016) — 174 citations
• Conditional Generation and Snapshot Learning in Neural Dialogue Systems (2016) — 81 citations
• Feudal Reinforcement Learning for Dialogue Management in Large Domains (2018) — 50 citations
• Variational Cross-domain Natural Language Generation for Spoken Dialogue Systems (2018) — 14 citations
• Comparison of Gender- and Speaker-adaptive Emotion Recognition (2014) — 14 citations