Deepika Bablani

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Deepika Bablani trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Ilya Loshchilov
  4. Kaiming He
  5. Alex Krizhevsky
  6. Ilya Sutskever
  7. Yann LeCun
  8. Diederik P. Kingma
  9. Matthieu Courbariaux
  10. Frank Hutter

Who trusts Deepika Bablani overall

  1. Markus Nagel
  2. Yuhang Li
  3. Yelysei Bondarenko

Papers from Deepika Bablani's perspective

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

Their papers