Tasnima Sadekova

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 4 papers; trusts 82 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Tasnima Sadekova trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Aäron van den Oord
  4. Yang Song
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Karen Simonyan
  8. Alex Graves
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Tasnima Sadekova overall

  1. Xu Tan
  2. Hiroki Kanagawa

Papers from Tasnima Sadekova's perspective

Ordered by how strongly the researchers Tasnima Sadekova 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. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. GENERATIVE ADVERSARIAL NETS
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers