Parvathaneni Naga Srinivasu

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Parvathaneni Naga Srinivasu trusts overall

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

  1. Balázs Harangi
  2. Karen Simonyan
  3. Debjyoti Sinha
  4. Greg Van Houdt
  5. Andrew Zisserman
  6. Lequan Yu
  7. José Antonio Naranjo-Torres
  8. Andrew G. Howard
  9. Mohamed A. El-Sharkawy
  10. Kaiming He

Who trusts Parvathaneni Naga Srinivasu overall

  1. Yogesh Kumar

Papers from Parvathaneni Naga Srinivasu's perspective

Ordered by how strongly the researchers Parvathaneni Naga Srinivasu 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Going deeper with convolutions
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers