Ivana Balazevic

Artificial Intelligence · 2019–2025

A researcher in the Science corpus: 4 papers; trusts 55 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Ivana Balazevic trusts overall

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

  1. Maximilian Nickel
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Antoine Bordes
  5. Gary Bécigneul
  6. Yoshua Bengio
  7. Alex Krizhevsky
  8. Octavian-Eugen Ganea
  9. Ilya Sutskever
  10. Sergey Ioffe

Who trusts Ivana Balazevic overall

  1. Ines Chami
  2. K. Liang
  3. Apoorv Saxena
  4. Pouya Pezeshkpour
  5. Shaoxiong Ji
  6. Ciyuan Peng
  7. Lingfeng Zhong
  8. Andrea Rossi
  9. Bo Wang
  10. Xiaozhi Wang

Papers from Ivana Balazevic's perspective

Ordered by how strongly the researchers Ivana Balazevic 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers