Philipp Eisen

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Multimodal Learning — 7 citations into it

Whom Philipp Eisen trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Yann LeCun
4. Yoshua Bengio
5. Jacob Devlin
6. Alex Krizhevsky
7. Ron Mokady
8. Oriol Vinyals
9. Tsung-Yi Lin
10. Raia Hadsell

Papers from Philipp Eisen's perspective

Ordered by how strongly the researchers Philipp Eisen 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Microsoft COCO: Common Objects in Context
10. Distilling the Knowledge in a Neural Network (arXiv.org)

Their papers

• Cross-lingual and Multilingual CLIP (2022) — 74 citations