Jaap Jumelet

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 46 citations into it
• Safety, Robustness & Interpretability — 32 citations into it
• Natural Language Processing — 31 citations into it

Whom Jaap Jumelet trusts overall

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

1. Sepp Hochreiter
2. Lloyd S. Shapley
3. J. Urgen Schmidhuber
4. Geoffrey E. Hinton
5. Tal Linzen
6. Yoshua Bengio
7. Yonatan Belinkov
8. Scott M. Lundberg
9. Diederik P. Kingma
10. W. James Murdoch

Who trusts Jaap Jumelet overall

1. Matthew Finlayson
2. Oskar van der Wal
3. Tanmay Garg
4. Aaron Mueller

Papers from Jaap Jumelet's perspective

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

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

Their papers

• Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender Assignment (2019) — 42 citations
• The Birth of Bias: A case study on the evolution of gender bias in an English language model (2022) — 24 citations