Sakyasingha Dasgupta

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 42 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Sakyasingha Dasgupta trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. David P. Woodruff
  4. Kaiming He
  5. Geoffrey E. Hinton
  6. Michael W. Mahoney
  7. Yoshua Bengio
  8. Petros Drineas
  9. David Lopez-Paz
  10. Marc'Aurelio Ranzato

Who trusts Sakyasingha Dasgupta overall

  1. Tameem Adel

Papers from Sakyasingha Dasgupta's perspective

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

Their papers