Ivan Marsic

Artificial Intelligence · 2013–2021

A researcher in the Science corpus: 5 papers; trusts 207 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ivan Marsic trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. Karen Simonyan
  7. Yann LeCun
  8. Kaiming He
  9. Ross B. Girshick
  10. Andrew Zisserman

Papers from Ivan Marsic's perspective

Ordered by how strongly the researchers Ivan Marsic 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers