Nidham Gazagnadou

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nidham Gazagnadou trusts overall

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

  1. Zeyuan Allen-Zhu
  2. Shai Shalev-Shwartz
  3. Tong Zhang
  4. Chih-Jen Lin
  5. Peter Richtárik
  6. Francis R. Bach
  7. Jakub Konecný
  8. Rie Johnson
  9. Yurii E. Nesterov
  10. Aaron Defazio

Who trusts Nidham Gazagnadou overall

  1. Nicolas Loizou

Papers from Nidham Gazagnadou's perspective

Ordered by how strongly the researchers Nidham Gazagnadou 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. Learning Multiple Layers of Features from Tiny Images
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Their papers