Cheik Traoré

Optimization & Training · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Cheik Traoré trusts overall

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

  1. H. Brendan McMahan
  2. John C. Duchi
  3. Matthew J. Streeter
  4. Elad Hazan
  5. Diederik P. Kingma
  6. Rachel A. Ward
  7. Yann LeCun
  8. L. Eon Bottou
  9. Geoffrey E. Hinton
  10. Yoram Singer

Who trusts Cheik Traoré overall

  1. Antonio Orvieto

Papers from Cheik Traoré's perspective

Ordered by how strongly the researchers Cheik Traoré trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers