Jeska Buhmann

Natural Language Processing · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 12 citations into it
• Artificial Intelligence — 11 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Jeska Buhmann trusts overall

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

1. Emily Dinan
2. Ilya Sutskever
3. Angela Fan
4. Jason Aaron Edward Weston
5. Paweł Budzianowski
6. Alec Radford
7. Shikib Mehri

Papers from Jeska Buhmann's perspective

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

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

Their papers

• BART for Knowledge Grounded Conversations (2020) — 22 citations