Sabee Y. Molloi

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sabee Y. Molloi trusts

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

  1. Geoffrey E. Hinton (in Artificial Intelligence)
  2. Yann LeCun (in Computer Vision and Pattern Recognition)
  3. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Sabee Y. Molloi's perspective

Ordered by how strongly the researchers Sabee Y. Molloi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
  4. Speech recognition with deep recurrent neural networks
  5. Learning Hierarchical Features for Scene Labeling
  6. Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images
  7. Training Very Deep Networks
  8. Return of the Devil in the Details: Delving Deep into Convolutional Nets
  9. Gradient-based learning applied to document recognition
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers