Vikas Singh

Artificial Intelligence · with Johnson · 2010–2021

A researcher in the Science corpus: 7 papers; trusts 291 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Vikas Singh trusts overall

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

  1. Alex Krizhevsky
  2. Yoshua Bengio
  3. Radford M. Neal
  4. Kaiming He
  5. Geoffrey E. Hinton
  6. Barret Zoph
  7. Christian Szegedy
  8. Diederik P. Kingma
  9. Quoc V. Le
  10. Yann LeCun

Who trusts Vikas Singh overall

  1. Heung-Il Suk
  2. Dinggang Shen
  3. Daoqiang Zhang
  4. Seong-Whan Lee
  5. Vamsi Krishna Ithapu
  6. Jun Shi
  7. Katherine R. Gray

Papers from Vikas Singh's perspective

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

Their papers