Philipp Mueller

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Natural Language Processing — 21 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Model Architectures — 9 citations into it

Whom Philipp Mueller trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. Kyunghyun Cho
4. Geoffrey E. Hinton
5. Dzmitry Bahdanau
6. Jimmy Ba
7. Christopher D. Manning
8. Matt Post
9. Ilya Sutskever
10. Hongyan Jing

Papers from Philipp Mueller's perspective

Ordered by how strongly the researchers Philipp Mueller 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
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. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Their papers

• Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention (2020) — 88 citations