Thomas Winters

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Natural Language Processing — 24 citations into it
• Large Language Models — 9 citations into it

Whom Thomas Winters trusts overall

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

1. Diederik P. Kingma
2. Philipp Koehn
3. Geoffrey E. Hinton
4. Alec Radford
5. Alex Krizhevsky
6. Jimmy Ba
7. Yoshua Bengio
8. Ilya Sutskever
9. Jacob Devlin
10. Nitish Srivastava

Who trusts Thomas Winters overall

1. Pieter Delobelle
2. J. Cañete

Papers from Thomas Winters's perspective

Ordered by how strongly the researchers Thomas Winters 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. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Dropout: a simple way to prevent neural networks from overfitting

Their papers

• RobBERT: a Dutch RoBERTa-based Language Model (2020) — 295 citations