Borko Furht

Artificial Intelligence · 2010–2021

A researcher in the Science corpus: 5 papers; trusts 153 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Borko Furht trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Diederik P. Kingma
  6. Ilya Sutskever
  7. Yann LeCun
  8. Christian Szegedy
  9. Ross B. Girshick
  10. Jia Deng

Who trusts Borko Furht overall

  1. Philip Chen
  2. Chunming Zhang
  3. Ana Javornik
  4. Joachim Scholz

Papers from Borko Furht's perspective

Ordered by how strongly the researchers Borko Furht 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  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. GENERATIVE ADVERSARIAL NETS
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers