Adam Gabrys

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Adam Gabrys trusts overall

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

  1. Diederik P. Kingma
  2. Aäron van den Oord
  3. Jimmy Ba
  4. Geoffrey E. Hinton
  5. Max Welling
  6. Ryan J. Prenger
  7. Ryuichi Yamamoto

Papers from Adam Gabrys's perspective

Ordered by how strongly the researchers Adam Gabrys 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. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet classification with deep convolutional neural networks
  6. WaveNet: A Generative Model for Raw Audio
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers