Yatharth Saraf

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yatharth Saraf trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Jimmy Ba
  4. Alex Graves
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Karen Simonyan
  8. Abdel-rahman Mohamed
  9. Ilya Sutskever
  10. Daniel Povey

Papers from Yatharth Saraf's perspective

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

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

Their papers