Mikail Khona

Cognitive Neuroscience · 2021

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mikail Khona trusts overall

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

  1. Xiao-Jing Wang
  2. John J. Hopfield
  3. Sam T. Roweis
  4. L. V. D. van der Maaten
  5. David H. Hubel
  6. Mark C. Fuhs
  7. Gianluigi Mongillo
  8. Yoram Burak
  9. Geoffrey E. Hinton
  10. Ila Rani Fiete

Papers from Mikail Khona's perspective

Ordered by how strongly the researchers Mikail Khona 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. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Dropout: a simple way to prevent neural networks from overfitting
  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. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers