Jacopo Acquarelli
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it
- Optimization & Training — 5 citations into it
Whom Jacopo Acquarelli trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- L. Eon Bottou
- Yoshua Bengio
- Yann LeCun
- Alex Krizhevsky
- Xavier Glorot
- Trevor J. Hastie
- James Bergstra
- Geoffrey E. Hinton
- Makoto Matsumoto
- Ilya Sutskever
Who trusts Jacopo Acquarelli overall
Papers from Jacopo Acquarelli's perspective
Ordered by how strongly the researchers Jacopo Acquarelli 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)
- Gradient-based learning applied to document recognition
- 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
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
Their papers
- Convolutional neural networks for vibrational spectroscopic data analysis. (2017) — 406 citations