Diego H. Milone

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 69 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it
• Computer Vision and Pattern Recognition — 33 citations into it
• Representation & Self-Supervised Learning — 13 citations into it
• Evaluation & Benchmarks — 8 citations into it
• Optimization & Training — 6 citations into it

Whom Diego H. Milone trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Kaiming He
5. Ilya Sutskever
6. Christian Szegedy
7. Yoshua Bengio
8. Yann LeCun
9. Jia Deng
10. Jimmy Ba

Papers from Diego H. Milone's perspective

Ordered by how strongly the researchers Diego H. Milone 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. ImageNet Large Scale Visual Recognition Challenge
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis (2020) — 627 citations
• Domain Generalization via Gradient Surgery (2021) — 105 citations