Pankaj Gupta

Artificial Intelligence · 2001–2020

A researcher in the Science corpus: 6 papers; trusts 99 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Pankaj Gupta trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Ruslan Salakhutdinov
  4. Hugo Larochelle
  5. Tomas Mikolov
  6. Alex Krizhevsky
  7. Diederik P. Kingma
  8. Yann LeCun
  9. Ilya Sutskever
  10. Dzmitry Bahdanau

Who trusts Pankaj Gupta overall

  1. Aneesh Sharma
  2. Jorge Armando Mendez Mendez
  3. Zixuan Ke
  4. Jessica Su
  5. Yi Tay
  6. Deepesh Data
  7. Huifeng Guo
  8. Avery Ching
  9. Eric Eaton
  10. Yonatan Belinkov

Papers from Pankaj Gupta's perspective

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

Their papers