Gesina Schwalbe
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 321 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 92 citations into it
- Safety, Robustness & Interpretability — 58 citations into it
- Computer Vision and Pattern Recognition — 29 citations into it
- Health Informatics — 12 citations into it
- Natural Language Processing — 9 citations into it
- Safety Research — 9 citations into it
- Information Systems — 7 citations into it
- Biophysics — 5 citations into it
Whom Gesina Schwalbe trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Matthew D. Zeiler
- Yoshua Bengio
- Sebastian Thrun
- Yann LeCun
- Diederik P. Kingma
- Kaiming He
- Been Kim
- Karen Simonyan
Papers from Gesina Schwalbe's perspective
Ordered by how strongly the researchers Gesina Schwalbe trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions