Ahbik Lahiri

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Ahbik Lahiri trusts overall

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

  1. Geoffrey E. Hinton
  2. L. Eon Bottou
  3. Yann LeCun
  4. Yoshua Bengio
  5. Honglak Lee
  6. Andrew Y. Ng
  7. Quoc V. Le
  8. Alex Krizhevsky
  9. James Martens
  10. Hugo Larochelle

Who trusts Ahbik Lahiri overall

  1. Yoshua Bengio
  2. Quoc V. Le
  3. Andrew L. Maas
  4. Ryan Kiros
  5. Mahmood Yousefi-Azar
  6. Li Deng
  7. Jakub Konecný
  8. Aaron C. Courville

Papers from Ahbik Lahiri's perspective

Ordered by how strongly the researchers Ahbik Lahiri 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers