Tudor Achim

Computer Vision and Pattern Recognition · 2014–2022

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Tudor Achim trusts overall

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

  1. S. Parasuraman
  2. Diederik P. Kingma
  3. Ilya Loshchilov
  4. Jimmy Ba
  5. Jacob Austin
  6. Namrata Anand-Achim
  7. Frank Hutter
  8. Geoffrey E. Hinton
  9. Valentin De Bortoli
  10. Alex Krizhevsky

Who trusts Tudor Achim overall

  1. Zhuoran Qiao
  2. Berk Çalli
  3. Michael Firman
  4. Jason Yim
  5. Weili Nie
  6. Kevin E. Wu

Papers from Tudor Achim's perspective

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

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

Their papers