Samuel Horváth

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 7 papers; trusts 111 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Samuel Horváth trusts overall

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

  1. Peter Richtárik
  2. Shai Shalev-Shwartz
  3. Aaron Defazio
  4. Tong Zhang
  5. Martin Takác
  6. Alex Krizhevsky
  7. Yurii E. Nesterov
  8. Francis R. Bach
  9. Zheng Qu
  10. Geoffrey E. Hinton

Who trusts Samuel Horváth overall

  1. Peter Richtárik
  2. Ahmed Khaled
  3. Filip Hanzely
  4. Xun Qian
  5. Zhize Li
  6. Dmitry Kovalev
  7. Eduard A. Gorbunov
  8. Nicolas Loizou
  9. Constantin Philippenko
  10. Othmane Sebbouh

Papers from Samuel Horváth's perspective

Ordered by how strongly the researchers Samuel Horváth 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. 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. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  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