Lukas Pfahler

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Lukas Pfahler trusts overall

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

1. Sergey Ioffe
2. Tomas Mikolov
3. Evgeniya Ustinova
4. Jacob Devlin
5. Spyros Gidaris
6. Christian Szegedy
7. Ashish Vaswani
8. Vassileios Balntas
9. Geoffrey E. Hinton
10. Lei Wang

Papers from Lukas Pfahler's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
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

• Semantic Search in Millions of Equations (2020) — 13 citations