Cezary Kaliszyk

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 6 papers; trusts 27 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Cezary Kaliszyk trusts overall

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

  1. Levente Kocsis
  2. Daniel Whalen
  3. David Silver
  4. Tianqi Chen
  5. Frank Hutter
  6. Csaba Szepesvari
  7. J. Otten
  8. Michael Färber
  9. Diederik P. Kingma
  10. Geoffrey E. Hinton

Who trusts Cezary Kaliszyk overall

  1. Kaiyu Yang
  2. Jia Deng
  3. Mingzhe Wang
  4. Kshitij Bansal
  5. Yuhuai Wu
  6. Jacob William Crandall
  7. Sarah M. Loos
  8. Albert Qiaochu Jiang
  9. Ibrahim Abdelaziz
  10. Markus Norman Rabe

Papers from Cezary Kaliszyk's perspective

Ordered by how strongly the researchers Cezary Kaliszyk 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. Going deeper with convolutions
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers