Flavio Villanustre
Artificial Intelligence · 2015–2017
A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 27 citations into it; #30,686 of 35,345 by trust here, #9,465 by citations
- Computer Vision and Pattern Recognition — 16 citations into it
- Representation & Self-Supervised Learning — 15 citations into it
- Computer Networks and Communications — 8 citations into it
- Information Systems — 6 citations into it; #7,481 of 8,771 by trust here, #8,676 by citations
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Flavio Villanustre trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Quoc V. Le
- Ilya Sutskever
- Tomas Mikolov
- Yann LeCun
- Ruslan Salakhutdinov
- Andrew Y. Ng
- Diederik P. Kingma
Who trusts Flavio Villanustre overall
Papers from Flavio Villanustre's perspective
Ordered by how strongly the researchers Flavio Villanustre 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Deep learning applications and challenges in big data analytics (2015) — 2,363 citations
- Large-scale distributed L-BFGS (2017) — 33 citations