Rohan Varma

Computer Vision and Pattern Recognition · 2015–2023

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Rohan Varma trusts overall

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

  1. E.J. Candes
  2. Sunil K. Narang
  3. Duncan J. Watts
  4. Yann LeCun
  5. Scott Shaobing Chen
  6. Martin Vetterli
  7. Aliaksei Sandryhaila
  8. Radford M. Neal
  9. David L. Donoho
  10. Antonio Ortega

Who trusts Rohan Varma overall

  1. Antonio Ortega
  2. Aamir Anis

Papers from Rohan Varma's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. Going deeper with convolutions

Their papers