Ivo Düntsch

Computational Theory and Mathematics · 2001–2019

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

Subfields

Whom Ivo Düntsch trusts

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

  1. Yiyu Yao (in Computational Theory and Mathematics)

Papers from Ivo Düntsch's perspective

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

Their papers