Rishabh Tiwari

Computer Vision and Pattern Recognition · 2021–2025

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rishabh Tiwari trusts overall

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

  1. Alex Krizhevsky
  2. Sariel Har-Peled
  3. Ya Le
  4. Geoffrey E. Hinton
  5. Matthew Riemer
  6. Arslan Chaudhry
  7. Prannay Khosla
  8. Marc'Aurelio Ranzato
  9. Soham Mazumdar
  10. Xuan S. Yang

Who trusts Rishabh Tiwari overall

  1. L. Yu

Papers from Rishabh Tiwari's perspective

Ordered by how strongly the researchers Rishabh Tiwari 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. Learning Multiple Layers of Features from Tiny Images
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers