Lutz Büch

Information Systems · 2019

A researcher in the Science corpus: 1 paper; trusts 53 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 16 citations into it
• Artificial Intelligence — 12 citations into it
• Signal Processing — 9 citations into it
• Software — 9 citations into it
• Natural Language Processing — 8 citations into it
• Program Analysis & Verification — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Lutz Büch trusts overall

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

1. Sepp Hochreiter
2. Tomas Mikolov
3. Geoffrey E. Hinton
4. L. V. D. van der Maaten
5. Yoshua Bengio
6. Vincent J. Hellendoorn
7. Huihui Wei
8. Gang Zhao
9. J. Urgen Schmidhuber
10. Kyunghyun Cho

Papers from Lutz Büch's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Learning-Based Recursive Aggregation of Abstract Syntax Trees for Code Clone Detection (2019) — 98 citations