Agnieszka Pocha

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Agnieszka Pocha trusts overall

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

  1. Diederik P. Kingma
  2. Sergey Ioffe
  3. Geoffrey E. Hinton
  4. Individualized Treat
  5. Jimmy Ba
  6. Max Welling
  7. Christian Szegedy
  8. Yoshua Bengio
  9. Alex Krizhevsky
  10. Martin Simonovsky

Papers from Agnieszka Pocha's perspective

Ordered by how strongly the researchers Agnieszka Pocha 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. GENERATIVE ADVERSARIAL NETS
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers