Eliav Buchnik

Artificial Intelligence · 2017–2022

A researcher in the Science corpus: 4 papers; trusts 89 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Eliav Buchnik trusts overall

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

  1. Avrim Blum
  2. Linton C. Freeman
  3. Zhilin Yang
  4. David Kempe
  5. Thomas Kipf
  6. Tomas Mikolov
  7. Xiaojin Zhu
  8. Manuel Gomez-Rodriguez
  9. Aditya Grover
  10. Jure Leskovec

Who trusts Eliav Buchnik overall

  1. Johannes Klicpera
  2. Aleksandar Bojchevski
  3. Stephan Günnemann
  4. Kiran Koshy Thekumparampil
  5. Edith Cohen
  6. Chong Wang
  7. Qian Huang
  8. Sewoong Oh

Papers from Eliav Buchnik's perspective

Ordered by how strongly the researchers Eliav Buchnik 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Learning Multiple Layers of Features from Tiny Images
  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