Rishabh K. Iyer

Artificial Intelligence · 2013–2021

A researcher in the Science corpus: 7 papers; trusts 225 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Rishabh K. Iyer trusts overall

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

  1. Andreas Krause
  2. Alex Krizhevsky
  3. Uriel Feige
  4. Maxim Sviridenko
  5. George L. Nemhauser
  6. Hui-Ching Lin
  7. Carlos Guestrin
  8. Geoffrey E. Hinton
  9. Yuri Boykov
  10. Diederik P. Kingma

Who trusts Rishabh K. Iyer overall

  1. Xiaojin Zhu
  2. Nina Grgic-Hlaca
  3. Krishnateja Killamsetty
  4. Sanjiban Choudhury
  5. Daniel Gissin
  6. Muhammad Bilal Zafar
  7. Ethan R. Elenberg
  8. Daniyal Rajput
  9. Ashish Kapoor
  10. Dana Pessach

Papers from Rishabh K. Iyer's perspective

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

Their papers