Maya R. Gupta

Artificial Intelligence · with Cotter · 2015–2020

A researcher in the Science corpus: 9 papers; trusts 72 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom Maya R. Gupta trusts overall

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

  1. Andrew Cotter
  2. Moritz Hardt
  3. Thorsten Joachims
  4. Eric R. Ziegel
  5. Yann LeCun
  6. Alex Krizhevsky
  7. Trevor J. Hastie
  8. Geoffrey E. Hinton
  9. Yoshua Bengio
  10. Gabriel Goh

Who trusts Maya R. Gupta overall

  1. Andrew Cotter
  2. Heinrich Jiang
  3. Serena Wang
  4. Sercan Ö. Arik
  5. Luca Oneto
  6. Cynthia Rudin
  7. Mahdi Milani Fard
  8. Harikrishna Narasimhan
  9. Silvia Chiappa
  10. Dana Pessach

Papers from Maya R. Gupta's perspective

Ordered by how strongly the researchers Maya R. Gupta 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. ImageNet: A large-scale hierarchical image database
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers