Mark Cieliebak
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 120 citations into it
- Natural Language Processing — 114 citations into it
- Evaluation & Benchmarks — 47 citations into it
Whom Mark Cieliebak trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio (in Artificial Intelligence)
- Diederik P. Kingma (in Artificial Intelligence)
- Jimmy Ba (in Artificial Intelligence)
- Jason Aaron Edward Weston (in Artificial Intelligence)
- Christopher D. Manning (in Artificial Intelligence)
- Oriol Vinyals (in Artificial Intelligence)
- Ilya Sutskever (in Artificial Intelligence)
- Geoffrey E. Hinton (in Artificial Intelligence)
- Chin-Yew Lin (in Natural Language Processing)
- Quoc V. Le (in Artificial Intelligence)
Papers from Mark Cieliebak's perspective
Ordered by how strongly the researchers Mark Cieliebak trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Language Models are Unsupervised Multitask Learners
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Et al
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Spot the Bot: A Robust and Efficient Framework for the Evaluation of Conversational Dialogue Systems (2020) — 41 citations
- Survey on evaluation methods for dialogue systems (2019) — 360 citations