Filip Hanzely

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 8 papers; trusts 159 researchers and is trusted by 40 researchers here, as inferred from the citation graph.

Subfields

Whom Filip Hanzely trusts overall

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

  1. Peter Richtárik
  2. Yurii E. Nesterov
  3. Chih-Jen Lin
  4. Aaron Defazio
  5. Robert Mansel Gower
  6. Tong Zhang
  7. Francis R. Bach
  8. Zeyuan Allen-Zhu
  9. Shai Shalev-Shwartz
  10. Martin Takác

Who trusts Filip Hanzely overall

  1. Peter Richtárik
  2. Ahmed Khaled
  3. Nicolas Loizou
  4. Sai Praneeth Karimireddy
  5. Yutao Huang
  6. Othmane Marfoq
  7. Qinbin Li
  8. Samuel Horváth
  9. Guodong Long
  10. Zhize Li

Papers from Filip Hanzely's perspective

Ordered by how strongly the researchers Filip Hanzely 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