Róbert Pálovics

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 3 papers; trusts 74 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Róbert Pálovics trusts overall

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

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

Papers from Róbert Pálovics's perspective

Ordered by how strongly the researchers Róbert Pálovics 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. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers