Bal'azs Guly'as

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bal'azs Guly'as trusts overall

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

  1. Christian Szegedy
  2. Geoffrey E. Hinton

Papers from Bal'azs Guly'as's perspective

Ordered by how strongly the researchers Bal'azs Guly'as trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Going deeper with convolutions
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. ImageNet classification with deep convolutional neural networks
  6. Dropout: a simple way to prevent neural networks from overfitting
  7. Densely Connected Convolutional Networks
  8. A Fast Learning Algorithm for Deep Belief Nets
  9. Gradient-based learning applied to document recognition
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers