Sahil Garg

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sahil Garg trusts overall

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

  1. Alex Krizhevsky
  2. Ross B. Girshick
  3. Kaiming He
  4. David Hilton Wolpert
  5. Geoffrey E. Hinton
  6. Yann LeCun
  7. Yoshua Bengio
  8. Shaoqing Ren

Papers from Sahil Garg's perspective

Ordered by how strongly the researchers Sahil 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. Gradient-based learning applied to document recognition
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Learning Multiple Layers of Features from Tiny Images
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  10. Microsoft COCO: Common Objects in Context

Their papers