Siddharth Narayanaswamy

Computer Vision and Pattern Recognition · 2012–2021

A researcher in the Science corpus: 6 papers; trusts 324 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Siddharth Narayanaswamy trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Kaiming He
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Ross B. Girshick
  8. Andrew Zisserman
  9. Ilya Sutskever
  10. Ruslan Salakhutdinov

Who trusts Siddharth Narayanaswamy overall

  1. Haonan Yu
  2. Francesco Locatello
  3. Michael Tschannen
  4. Kien Do
  5. Candace Ross
  6. Jeffrey Mark Siskind
  7. Du Phan
  8. Yibo Li
  9. Babak Esmaeili
  10. Emile Mathieu

Papers from Siddharth Narayanaswamy's perspective

Ordered by how strongly the researchers Siddharth Narayanaswamy trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers