Gianni Brauwers

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 308 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 64 citations into it
• Computer Vision and Pattern Recognition — 38 citations into it
• Model Architectures — 23 citations into it
• Natural Language Processing — 23 citations into it
• Multimodal Learning — 9 citations into it
• Speech & Audio — 7 citations into it
• Information Systems — 6 citations into it

Whom Gianni Brauwers trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Ronald J. Williams
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Dzmitry Bahdanau
7. Alex Graves
8. Ilya Sutskever
9. Kaiming He
10. Jimmy Ba

Papers from Gianni Brauwers's perspective

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

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

Their papers

• A General Survey on Attention Mechanisms in Deep Learning (2022) — 619 citations