Maya R. Gupta

Artificial Intelligence · with Frigyik · 2008–2014

A researcher in the Science corpus: 9 papers; trusts 94 researchers and is trusted by 32 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. Yoshua Bengio
  2. David John Cameron MacKay
  3. Eric R. Ziegel
  4. Lawrence R. Rabiner
  5. Alex Smola
  6. Koby Crammer
  7. Geoffrey E. Hinton
  8. Jason Aaron Edward Weston
  9. Shun-ichi Amari
  10. Raymond W. Yeung

Who trusts Maya R. Gupta overall

  1. Barnab'as P'oczos
  2. Sophie Ahrens
  3. Andrew Béla Frigyik
  4. Maksim Lapin
  5. Jeff Schneider
  6. Krikamol Muandet
  7. Noam Shazeer
  8. Gee-Sern Jison Hsu
  9. Berrak Sisman
  10. Andrew J. Tritt

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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers