Greg Shakhnarovich

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Greg Shakhnarovich trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  3. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  4. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  5. Serge J. Belongie (in Computer Vision and Pattern Recognition)
  6. Jitendra Malik (in Computer Vision and Pattern Recognition)
  7. Alexei A. Efros (in Computer Vision and Pattern Recognition)
  8. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  9. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  10. Karen Simonyan (in Computer Vision and Pattern Recognition)

Papers from Greg Shakhnarovich's perspective

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

  1. GENERATIVE ADVERSARIAL NETS
  2. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  3. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  6. ImageNet classification with deep convolutional neural networks
  7. Decoupled Weight Decay Regularization
  8. Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)
  9. Hierarchical Text-Conditional Image Generation with CLIP Latents (arXiv.org)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers