Vineel Nagisetty

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Vineel Nagisetty trusts overall

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

  1. Matt Fredrikson
  2. Kaiming He
  3. Cynthia Dwork
  4. Alex Krizhevsky
  5. Somesh Jha
  6. Chuan Guo
  7. Samuel Yeom
  8. Antonio A. Ginart
  9. X. Zhang
  10. Geoffrey E. Hinton

Who trusts Vineel Nagisetty overall

  1. Meghdad Kurmanji
  2. Ayush Kumar Tarun
  3. Wen Zhang
  4. Anvith Thudi

Papers from Vineel Nagisetty's perspective

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

Their papers