Farzad Shahabi

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Farzad Shahabi trusts

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

  1. Jost Tobias Springenberg (in Computer Vision and Pattern Recognition)
  2. Augustus Odena (in Computer Vision and Pattern Recognition)

Papers from Farzad Shahabi's perspective

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

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Learning Deep Architectures for AI
  5. Gradient-based learning applied to document recognition
  6. Reinforcement Learning: An Introduction
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers