Y. Kassahun
Reinforcement Learning · 2016–2020
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 8 citations into it
Whom Y. Kassahun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Y. Ng
- Pieter Abbeel
- Sepp Hochreiter
- J. Urgen Schmidhuber
- Radford M. Neal
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Yann LeCun
Who trusts Y. Kassahun overall
Papers from Y. Kassahun's perspective
Ordered by how strongly the researchers Y. Kassahun 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
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions