Lars Kunze

Artificial Intelligence · with Jirotka · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lars Kunze trusts overall

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

  1. Brian Y. Lim
  2. Matthew D. Zeiler

Papers from Lars Kunze's perspective

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

  1. Visualizing and Understanding Convolutional Networks
  2. Reinforcement Learning: An Introduction
  3. ImageNet classification with deep convolutional neural networks
  4. Striving for Simplicity: The All Convolutional Net
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Deep Features for Discriminative Localization

Their papers