Aravind Subramanian

Artificial Intelligence · 2001–2020

A researcher in the Science corpus: 15 papers; trusts 2 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Aravind Subramanian trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. David E. Rumelhart

Who trusts Aravind Subramanian overall

  1. Jianguo Xia
  2. Yunshun Chen
  3. David S. Wishart
  4. Jasmine Chong
  5. Gordon K. Smyth
  6. Jing Wang
  7. E. Ulgen
  8. Purvesh Khatri
  9. Petar Velickovic
  10. Diabetes-Ling Wu

Papers from Aravind Subramanian's perspective

Ordered by how strongly the researchers Aravind Subramanian 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Deep Architectures for AI
  8. Learning Multiple Layers of Features from Tiny Images
  9. Extracting and composing robust features with denoising autoencoders
  10. Learning representations by back-propagating errors

Their papers