Sweta Bhattacharya

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 6 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sweta Bhattacharya trusts overall

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

  1. J. Urgen Schmidhuber
  2. Kenji Suzuki
  3. Arvid Lundervold
  4. Geoffrey E. Hinton
  5. Waseem Rawat
  6. Hayit Greenspan
  7. Yoshua Bengio
  8. Muhammad Imran Razzak
  9. Yann LeCun
  10. Alex Krizhevsky

Papers from Sweta Bhattacharya's perspective

Ordered by how strongly the researchers Sweta Bhattacharya 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. Going deeper with convolutions
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers