Namrata Anand

Molecular Biology · 2018–2022

A researcher in the Science corpus: 5 papers; trusts 70 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Namrata Anand trusts overall

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

  1. Po-Ssu Huang
  2. David Baker
  3. Diederik P. Kingma
  4. S. Parasuraman
  5. Individualized Treat
  6. Alec Radford
  7. Rhiju Das
  8. Geoffrey E. Hinton
  9. Mohammed Alquraishi
  10. Jimmy Ba

Who trusts Namrata Anand overall

  1. Yeqing Lin
  2. Kevin Kaichuang Yang
  3. Zhuoran Qiao
  4. Raphael R. Eguchi
  5. Kevin E. Wu
  6. Mohammed Alquraishi
  7. John Ingraham
  8. Weili Nie
  9. Yilun Du
  10. Jason Yim

Papers from Namrata Anand's perspective

Ordered by how strongly the researchers Namrata Anand 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. GENERATIVE ADVERSARIAL NETS
  10. Learning Multiple Layers of Features from Tiny Images

Their papers