Áron Monszpart

Computer Vision and Pattern Recognition · 2015–2020

A researcher in the Science corpus: 4 papers; trusts 236 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Áron Monszpart trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Yann LeCun
  5. Karen Simonyan
  6. Yoshua Bengio
  7. Kaiming He
  8. Ilya Sutskever
  9. Sepp Hochreiter
  10. J. Urgen Schmidhuber

Who trusts Áron Monszpart overall

  1. Weimin Wang
  2. Bo Yang
  3. Chaozheng Wu
  4. Shuran Song
  5. Ken Sakurada
  6. Sébastien Ehrhardt
  7. Justin Johnson
  8. Stefano Rosa

Papers from Áron Monszpart's perspective

Ordered by how strongly the researchers Áron Monszpart 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. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers