Ferdinando Fioretto

2020

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Ferdinando Fioretto trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ron Kohavi
2. Neal Parikh
3. Muhammad Bilal Zafar
4. Stephen P. Boyd
5. Alex Krizhevsky
6. Harikrishna Narasimhan
7. Brandon Amos
8. Ronan Collobert

Papers from Ferdinando Fioretto's perspective

Ordered by how strongly the researchers Ferdinando Fioretto trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. A unified architecture for natural language processing: deep neural networks with multitask learning
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Lagrangian Duality for Constrained Deep Learning (2020) — 111 citations