Marie Ossenkopf
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 13 citations into it
- Reinforcement Learning — 12 citations into it
Whom Marie Ossenkopf trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sepp Hochreiter
- Stefan Schaal
- Peng Peng
- M. Mohan
- Sainbayar Sukhbaatar
- Emilio Jorge
- Jakob N. Foerster
- Tejas D. Kulkarni
- Yoshua Bengio
- Geoffrey E. Hinton
Papers from Marie Ossenkopf's perspective
Ordered by how strongly the researchers Marie Ossenkopf 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)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Human-level control through deep reinforcement learning
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)