Siddharth Garg

Artificial Intelligence · 2016–2023

A researcher in the Science corpus: 9 papers; trusts 303 researchers and is trusted by 119 researchers here, as inferred from the citation graph.

Subfields

Whom Siddharth Garg trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. Kaiming He
  7. Christian Szegedy
  8. Shaoqing Ren
  9. Justin Thaler
  10. Alex Graves

Who trusts Siddharth Garg overall

  1. Eugene Bagdasarian
  2. Alexander Turner
  3. Nicholas Carlini
  4. Yige Li
  5. Florian Tramèr
  6. Clement Fung
  7. Yuanshun Yao
  8. Dongxian Wu
  9. Dimitris Tsipras
  10. Brandon Tran

Papers from Siddharth Garg's perspective

Ordered by how strongly the researchers Siddharth 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  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. ImageNet Large Scale Visual Recognition Challenge

Their papers