M. Warchoł

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. Warchoł trusts overall

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

  1. Diederik P. Kingma

Papers from M. Warchoł's perspective

Ordered by how strongly the researchers M. Warchoł 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. GENERATIVE ADVERSARIAL NETS
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet classification with deep convolutional neural networks
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Grammar Variational Autoencoder

Their papers