Sahaj Garg

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Sahaj Garg trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Radford M. Neal
  4. Aapo Hyvärinen
  5. Yoshua Bengio
  6. Yann LeCun
  7. Alex Krizhevsky
  8. Pascal Vincent
  9. Ilya Sutskever
  10. Moritz Hardt

Who trusts Sahaj Garg overall

  1. Yang Song
  2. Anthony Rios
  3. Svetlana Kiritchenko
  4. Ben Hutchinson
  5. Bertie Vidgen
  6. Frederick Liu
  7. Calvin Luo
  8. Stefano Ermon
  9. Conor Durkan
  10. Vinodkumar Prabhakaran

Papers from Sahaj Garg's perspective

Ordered by how strongly the researchers Sahaj Garg 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. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. GENERATIVE ADVERSARIAL NETS
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers