Saeed Maleki

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Saeed Maleki trusts overall

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

  1. Dimitris Achlioptas
  2. William B. Johnson
  3. John C. Duchi
  4. B. Recht
  5. Alekh Agarwal
  6. Mu Li
  7. Elad Hazan
  8. Martin A. Zinkevich
  9. Olivier Chapelle
  10. Alex Smola

Papers from Saeed Maleki's perspective

Ordered by how strongly the researchers Saeed Maleki 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  5. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. ImageNet: A large-scale hierarchical image database

Their papers