Dipesh Gautam

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dipesh Gautam trusts overall

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

  1. George A. Miller
  2. Tomas Mikolov
  3. Ilya Sutskever
  4. Jianfeng Gao
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Richard Socher
  8. Ryan Kiros

Papers from Dipesh Gautam's perspective

Ordered by how strongly the researchers Dipesh Gautam 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers