Adriano Oliveira
Artificial Intelligence · 2015–2019
A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 48 citations into it
- Computer Vision and Pattern Recognition — 27 citations into it
- Optimization & Training — 8 citations into it
- Model Architectures — 6 citations into it
Whom Adriano Oliveira trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Simon S. Haykin
- Nikolaus Hansen
- Martin Fodslette Møller
- Roberto Battiti
- Kaiming He
- Martin A. Riedmiller
- Frans van den Bergh
- Martin T. Hagan
- Alex Krizhevsky
- Geoffrey E. Hinton
Papers from Adriano Oliveira's perspective
Ordered by how strongly the researchers Adriano Oliveira 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Isotropic Maximization Loss and Entropic Score: Fast, Accurate, Scalable, Unexposed, Turnkey, and Native Neural Networks Out-of-Distribution Detection. (2019) — 3 citations
- Distinction Maximization Loss: Fast, Scalable, Turnkey, and Native Neural Networks Out-of-Distribution Detection simply by Replacing the SoftMax Loss (2019) — 4 citations
- A hybrid model for high-frequency stock market forecasting (2015) — 47 citations