Laura Palagi
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 88 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 37 citations into it
- Optimization & Training — 21 citations into it
- Computer Vision and Pattern Recognition — 13 citations into it
- Scaling & Learning Theory — 9 citations into it
- Statistics and Probability — 7 citations into it
Whom Laura Palagi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dimitri P. Bertsekas
- Yann LeCun
- Geoffrey E. Hinton
- Vladimir Naumovich Vapni
- Ilya Sutskever
- Emilio Carrizosa
- Yoshua Bengio
- L. Eon Bottou
- A. Pedro Duarte Silva
- Jürgen Branke
Who trusts Laura Palagi overall
Papers from Laura Palagi's perspective
Ordered by how strongly the researchers Laura Palagi 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Global optimization issues in deep network regression: an overview (2018) — 22 citations