Eleonora Cagli
Artificial Intelligence · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 34 citations into it
- Computer Vision and Pattern Recognition — 33 citations into it
- Model Architectures — 15 citations into it
- Hardware and Architecture — 12 citations into it
- Optimization & Training — 10 citations into it
- Statistics and Probability — 7 citations into it
- Statistical Learning Theory — 6 citations into it
- Signal Processing — 5 citations into it
Whom Eleonora Cagli trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sergey Ioffe
- Geoffrey E. Hinton
- Henry W. Lin
- Christian Szegedy
- Patrice Y. Simard
- Suresh Chari
- Alex Krizhevsky
- Sebastien C. Wong
- Vinod Nair
- Yann LeCun
Papers from Eleonora Cagli's perspective
Ordered by how strongly the researchers Eleonora Cagli 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
- Going deeper with convolutions
- 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)
- 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