Vikash Sehwag

Artificial Intelligence · 2019–2025

A researcher in the Science corpus: 6 papers; trusts 265 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Vikash Sehwag trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Yann LeCun
  5. Yoshua Bengio
  6. Dan Hendrycks
  7. Diederik P. Kingma
  8. Ian J. Goodfellow
  9. Christian Szegedy
  10. Ilya Sutskever

Who trusts Vikash Sehwag overall

  1. Yiyou Sun
  2. Hongxin Wei
  3. Zhenyi Wang
  4. Yifei Ming
  5. Sylvestre-Alvise Rebuffi
  6. Renchunzi Xie
  7. Li Shen

Papers from Vikash Sehwag's perspective

Ordered by how strongly the researchers Vikash Sehwag trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers