Saket Dingliwal

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Saket Dingliwal trusts overall

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

  1. Chin-Yew Lin
  2. Hany Hassan
  3. Abigail See
  4. Ramesh Nallapati
  5. Yashar Mehdad
  6. Siddhartha Banerjee
  7. Karl Moritz Hermann
  8. Zhaopeng Tu
  9. Yoshua Bengio
  10. Geoffrey E. Hinton

Papers from Saket Dingliwal's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Long Short-Term Memory
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet classification with deep convolutional neural networks
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. ImageNet: A large-scale hierarchical image database

Their papers