Vikas Hassija

Artificial Intelligence · 2019–2023

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

Subfields

Whom Vikas Hassija trusts overall

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

  1. Geoffrey E. Hinton
  2. Jerome H. Friedman
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Christian Szegedy
  6. Pascal Paillier
  7. Oscar Novo
  8. Ian J. Goodfellow
  9. Ilya Sutskever
  10. Trevor J. Hastie

Who trusts Vikas Hassija overall

  1. Iqbal H. Sarker
  2. Vimbi Viswan
  3. Vinay Chamola

Papers from Vikas Hassija's perspective

Ordered by how strongly the researchers Vikas Hassija 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  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. Going deeper with convolutions

Their papers