Benedikt Loepp
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 25 citations into it; #18,524 of 35,345 by trust here, #23,731 by citations
- Information Systems — 19 citations into it; #3,775 of 8,771 by trust here, #5,303 by citations
- Computer Vision and Pattern Recognition — 12 citations into it
- Model Architectures — 12 citations into it
- Natural Language Processing — 8 citations into it
- Signal Processing — 7 citations into it
- Management Science and Operations Research — 6 citations into it
- Recommender Systems — 6 citations into it
Whom Benedikt Loepp trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yehuda Koren
- Diederik P. Kingma
- Yoshua Bengio
- Geoffrey E. Hinton
- Ilya Sutskever
- Kaiming He
- J. Urgen Schmidhuber
- Alex Graves
- Tomas Mikolov
- Thomas Hofmann
Who trusts Benedikt Loepp overall
Papers from Benedikt Loepp's perspective
Ordered by how strongly the researchers Benedikt Loepp trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Sequential User-based Recurrent Neural Network Recommendations (2017) — 387 citations