Chintan Parmar

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 9 papers; trusts 24 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Chintan Parmar trusts overall

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

  1. Max Kuhn
  2. Gavin Brown
  3. Hugo J. W. L. Aerts
  4. Patrick Grossmann
  5. Geoffrey E. Hinton
  6. Isabelle M Guyon
  7. Alex Krizhevsky
  8. Robert Martin Haralick
  9. Lutz Prechelt
  10. M. Delgado

Who trusts Chintan Parmar overall

  1. Ahmed Hosny
  2. R. Larue
  3. Mathieu Hatt
  4. Hugo J. W. L. Aerts
  5. S. Yip
  6. Philippe Lambin
  7. G. Defraene
  8. J. Barry
  9. Patrick Grossmann
  10. S. Rizzo

Papers from Chintan Parmar's perspective

Ordered by how strongly the researchers Chintan Parmar 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers