Valerio Perrone
Artificial Intelligence · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 32 citations into it
- Computational Theory and Mathematics — 21 citations into it
- Optimization & Training — 20 citations into it
- Management Science and Operations Research — 11 citations into it
- Neural Architecture Search & AutoML — 10 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
- Evaluation & Benchmarks — 7 citations into it
- Probabilistic & Bayesian Methods — 7 citations into it
Whom Valerio Perrone trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Frank Hutter
- Jasper Snoek
- Radford M. Neal
- David John Cameron MacKay
- Kevin Swersky
- Geoffrey E. Hinton
- Yoshua Bengio
- Aaron Klein
- Diederik P. Kingma
- Nikolaus Hansen
Who trusts Valerio Perrone overall
Papers from Valerio Perrone's perspective
Ordered by how strongly the researchers Valerio Perrone 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
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions