Alex Renda

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 48 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Alex Renda trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Jonathan Frankle
  4. Song Han
  5. Geoffrey E. Hinton
  6. Leslie N. Smith
  7. Russell Reed
  8. Diederik P. Kingma
  9. Yann LeCun
  10. Yoshua Bengio

Who trusts Alex Renda overall

  1. Jonathan S. Rosenfeld
  2. Tianlong Chen
  3. Jonathan Frankle
  4. Mingjie Sun
  5. Jingtong Su
  6. Michael Carbin
  7. Aojun Zhou
  8. Sijia Liu
  9. Zhuang Liu
  10. Shiyu Chang

Papers from Alex Renda's perspective

Ordered by how strongly the researchers Alex Renda 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. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers