Daniel C. Ferreira

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel C. Ferreira trusts overall

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

  1. Frank Hutter

Papers from Daniel C. Ferreira's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Practical Bayesian Optimization of Machine Learning Algorithms
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Learning Multiple Layers of Features from Tiny Images
  5. Gradient-based learning applied to document recognition
  6. Random Search for Hyper-Parameter Optimization
  7. Neural Architecture Search with Reinforcement Learning
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Automatic differentiation in PyTorch

Their papers