Manish Raghavan

Artificial Intelligence · 2016–2022

A researcher in the Science corpus: 8 papers; trusts 35 researchers and is trusted by 82 researchers here, as inferred from the citation graph.

Subfields

Whom Manish Raghavan trusts overall

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

  1. Alexandra Chouldechova
  2. Moritz Hardt
  3. Jon M. Kleinberg
  4. L. Elisa Celis
  5. Cynthia Dwork
  6. Solon Barocas
  7. Richard S. Zemel
  8. Lihong Li
  9. Wei Chu
  10. Ke Yang

Who trusts Manish Raghavan overall

  1. Alexandra Chouldechova
  2. Alina Köchling
  3. Ryan Steed
  4. Dana Pessach
  5. Emilio Ferrara
  6. Ninareh Mehrabi
  7. Amanda Coston
  8. Sahil Verma
  9. Irene Y. Chen
  10. Simon Caton

Papers from Manish Raghavan's perspective

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

Their papers