Saket Navlakha

Molecular Biology · 2008–2017

A researcher in the Science corpus: 4 papers; trusts 78 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Saket Navlakha trusts overall

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

  1. Chih-Jen Lin
  2. Aapo Hyvärinen
  3. Duncan J. Watts
  4. Mark Newman
  5. Geoffrey E. Hinton
  6. Deepayan Chakrabarti
  7. Hongwu Ma
  8. Jian Zhou
  9. Raif M. Rustamov
  10. Sebastian Wernicke

Who trusts Saket Navlakha overall

  1. Palash Goyal
  2. Susan Dina Ghiassian
  3. Yang Zhou
  4. Yuanzhe Chen
  5. Peter Csermely
  6. Xiaoli Li
  7. Albert-László Barabási
  8. Jörg Menche
  9. Emilio Ferrara
  10. Xiujuan Wang

Papers from Saket Navlakha's perspective

Ordered by how strongly the researchers Saket Navlakha 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers