Nisarg Raval

Computer Vision and Pattern Recognition · 2014–2018

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nisarg Raval trusts overall

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

  1. Diederik P. Kingma
  2. John F. Canny
  3. Simon S. Haykin
  4. Pascal Vincent
  5. Yoshua Bengio
  6. Jimmy Ba
  7. Geoffrey E. Hinton
  8. Ian J. Goodfellow
  9. Alex Krizhevsky
  10. Suman Sekhar Jana

Who trusts Nisarg Raval overall

  1. Fatemehsadat Mirshghallah
  2. Mohammad Malekzadeh
  3. Mohammadkazem Taram

Papers from Nisarg Raval's perspective

Ordered by how strongly the researchers Nisarg Raval 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers