Nilmini Wickramasinghe

Artificial Intelligence · 2008–2016

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Nilmini Wickramasinghe trusts overall

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

  1. Stéphane Mallat
  2. Robert M. Gray
  3. Yann LeCun
  4. Tinku Acharya
  5. Geoffrey E. Hinton
  6. Tomas Mikolov
  7. Ilya Sutskever
  8. Alex Krizhevsky
  9. Yoshua Bengio
  10. David E. Culler

Who trusts Nilmini Wickramasinghe overall

  1. Ying Sha

Papers from Nilmini Wickramasinghe's perspective

Ordered by how strongly the researchers Nilmini Wickramasinghe 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. Long Short-Term Memory
  5. Dropout: a simple way to prevent neural networks from overfitting
  6. This PDF file includes: Materials and Methods
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers