Saket Anand

Computer Vision and Pattern Recognition · 2014–2018

A researcher in the Science corpus: 2 papers; trusts 65 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Saket Anand trusts overall

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

  1. Dorin Comaniciu
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. Yoshua Bengio
  6. Aude Oliva
  7. Alex Krizhevsky
  8. Sugato Basu
  9. Antonio Torralba
  10. Keinosuke Fukunaga

Who trusts Saket Anand overall

  1. Aviv Gabbay
  2. Yen-Chang Hsu
  3. Ehsan Amid
  4. Dingcheng Li
  5. Yedid Hoshen
  6. Kien Do
  7. Zhaoyang Lv
  8. Aristides Gionis

Papers from Saket Anand's perspective

Ordered by how strongly the researchers Saket Anand 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. ImageNet: A large-scale hierarchical image database
  8. GENERATIVE ADVERSARIAL NETS
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers