Frederik Schmitt
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 31 citations into it
- Computational Theory and Mathematics — 9 citations into it
- Program Analysis & Verification — 9 citations into it
- Software — 5 citations into it
Whom Frederik Schmitt trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Leonardo de Moura (in Program Analysis & Verification)
- Guillaume Lample (in Artificial Intelligence)
- Nikolaj S. Bjørner (in Artificial Intelligence)
- François Charton (in Artificial Intelligence)
- Sanjit A. Seshia (in Artificial Intelligence)
- Dorsa Sadigh (in Artificial Intelligence)
- Miltiadis Allamanis (in Artificial Intelligence)
- Marc Brockschmidt (in Artificial Intelligence)
- Christian Szegedy (in Artificial Intelligence)
- Martin T. Vechev (in Artificial Intelligence)
Papers from Frederik Schmitt's perspective
Ordered by how strongly the researchers Frederik Schmitt trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Layer Normalization
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
- Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Their papers
- Teaching Temporal Logics to Neural Networks (2020) — 79 citations