Christian Geishauser

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 5 papers; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 126 citations into it
• Natural Language Processing — 48 citations into it
• Meta & Continual Learning — 18 citations into it
• Reinforcement Learning — 17 citations into it
• Management Science and Operations Research — 12 citations into it
• Optimization & Training — 7 citations into it

Whom Christian Geishauser trusts overall

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

1. Diederik P. Kingma
2. Peter Gordon Roetzel
3. Geoffrey E. Hinton
4. Paweł Budzianowski
5. Milica Gasic
6. Yoshua Bengio
7. Jimmy Ba
8. Ryuichi Takanobu
9. Pei-hao Su
10. Ashish Vaswani

Papers from Christian Geishauser's perspective

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

Their papers

• TripPy: A Triple Copy Strategy for Value Independent Neural Dialog State Tracking (2020) — 240 citations
• Dynamic Dialogue Policy for Continual Reinforcement Learning (2022) — 19 citations
• Dynamic Dialogue Policy Transformer for Continual Reinforcement Learning (2022)
• Domain-independent User Simulation with Transformers for Task-oriented Dialogue Systems (2021) — 37 citations
• Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance (2021) — 11 citations