Josif Grabocka

Artificial Intelligence · 2014–2021

A researcher in the Science corpus: 3 papers; trusts 33 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Josif Grabocka trusts overall

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

  1. Jaka Demsar
  2. Jason Lines
  3. Steffen Rendle
  4. Jon Hills
  5. Radford M. Neal
  6. Geoffrey E. Hinton
  7. Diederik P. Kingma
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Hui Ding

Who trusts Josif Grabocka overall

  1. Zhicheng Cui
  2. Anthony J. Bagnall
  3. Hassan Ismail Fawaz
  4. Xiangyu Zhao
  5. Yixin Chen
  6. Romain Tavenard
  7. Jason Lines
  8. Germain Forestier

Papers from Josif Grabocka's perspective

Ordered by how strongly the researchers Josif Grabocka 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. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers