Giorgi Nadiradze

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Giorgi Nadiradze trusts overall

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

  1. Sebastian U. Stich
  2. Chih-Jen Lin
  3. Angelia Nedić
  4. Kaiming He
  5. Ohad Shamir
  6. Asuman E. Ozdaglar
  7. Ermin Wei
  8. Kunal Talwar
  9. Sébastien Marcel
  10. L. Eon Bottou

Papers from Giorgi Nadiradze's perspective

Ordered by how strongly the researchers Giorgi Nadiradze 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers