Ankit Shah

Signal Processing · 2017–2020

A researcher in the Science corpus: 5 papers; trusts 14 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Ankit Shah trusts overall

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

  1. Karol J. Piczak
  2. Diederik P. Kingma
  3. Tom Fawcett
  4. Zhi-Hua Zhou
  5. Annamaria Mesaros
  6. Vinod Nair
  7. Geoffrey E. Hinton
  8. Chris Buckley
  9. Jimmy Ba
  10. Stuart Andrews

Who trusts Ankit Shah overall

  1. Eduardo Fonseca
  2. Anurag Kumar
  3. Nicolas Turpault
  4. Benjamin Elizalde
  5. Vamsi Krishna Ithapu
  6. D. Ellis
  7. Manoj Plakal
  8. Shuayb Zarar
  9. Romain Serizel
  10. Shawn Hershey

Papers from Ankit Shah's perspective

Ordered by how strongly the researchers Ankit Shah 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers