Richard Zanibbi

Artificial Intelligence · 2011–2019

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Richard Zanibbi trusts overall

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

  1. Toni M. Rath
  2. Vladimir Naumovich Vapni
  3. Lawrence R. Rabiner
  4. Hanan Samet
  5. Yoav Freund
  6. Raghavan Manmatha
  7. Serge J. Belongie
  8. Ritendra Datta
  9. Arnold M. W. Smeulders
  10. Robert E. Schapire

Who trusts Richard Zanibbi overall

  1. Zheng Gong
  2. Kun Zhou
  3. Shuai Peng
  4. Jamshed Memon

Papers from Richard Zanibbi's perspective

Ordered by how strongly the researchers Richard Zanibbi 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. 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. Going deeper with convolutions
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers