Petar Velivckovi'c

Artificial Intelligence · 2021–2025

A researcher in the Science corpus: 5 papers; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Petar Velivckovi'c trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Jimmy Ba
  4. Kaiming He
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Thomas Kipf
  8. Sergey Ioffe
  9. Max Welling
  10. Yann LeCun

Papers from Petar Velivckovi'c's perspective

Ordered by how strongly the researchers Petar Velivckovi'c trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. ImageNet: A large-scale hierarchical image database
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers