Shaurya Rohatgi

Representation & Self-Supervised Learning · 2019

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

Subfields

Whom Shaurya Rohatgi trusts overall

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

  1. Tomas Mikolov
  2. Geoffrey E. Hinton
  3. Quoc V. Le
  4. L. V. D. van der Maaten
  5. Ilya Sutskever
  6. Yoshua Bengio
  7. Bryan Perozzi
  8. Piotr Bojanowski

Who trusts Shaurya Rohatgi overall

  1. Lukas Pfahler

Papers from Shaurya Rohatgi's perspective

Ordered by how strongly the researchers Shaurya Rohatgi 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. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Efficient Estimation of Word Representations in Vector Space
  9. ImageNet: A large-scale hierarchical image database
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers