András A. Benczúr

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 74 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom András A. Benczúr trusts overall

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

  1. Albert Bifet
  2. Alex Smola
  3. Richard S. Sutton
  4. Ronald J. Williams
  5. Yoav Freund
  6. Geoffrey E. Hinton
  7. Steffen Rendle
  8. Balázs Hidasi
  9. Bernhard Schölkopf
  10. Koby Crammer

Papers from András A. Benczúr's perspective

Ordered by how strongly the researchers András A. Benczúr trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  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