Jonas Adler

Computer Vision and Pattern Recognition · 2017–2022

A researcher in the Science corpus: 7 papers; trusts 163 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Jonas Adler trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Xavier Glorot
  6. Kyong Hwan Jin
  7. Tal Schuster
  8. Vinod Nair
  9. Alex Krizhevsky
  10. Yann LeCun

Who trusts Jonas Adler overall

  1. Shuhao Cao
  2. Tianlong Chen
  3. John Flynn
  4. Yoseob Han
  5. Andreas Hauptmann
  6. Nikola B. Kovachki
  7. Jun Shu
  8. Vishal Monga
  9. Zong-Yi Li
  10. Yan Yang

Papers from Jonas Adler's perspective

Ordered by how strongly the researchers Jonas Adler 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers