Roger Zimmermann

Computer Vision and Pattern Recognition · 2014–2022

A researcher in the Science corpus: 11 papers; trusts 305 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Roger Zimmermann trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Kaiming He
  5. Alex Krizhevsky
  6. Sepp Hochreiter
  7. Ilya Sutskever
  8. Richard Socher
  9. Yann LeCun
  10. Alex Graves

Who trusts Roger Zimmermann overall

  1. Soujanya Poria
  2. Ankita Gandhi
  3. Wenmeng Yu
  4. Navonil Majumder

Papers from Roger Zimmermann's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers