Anastasios Alexandridis

Artificial Intelligence · 2016

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

Subfields

Whom Anastasios Alexandridis trusts overall

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

  1. Martin Sundermeyer
  2. Andreas Stolcke
  3. Diederik P. Kingma
  4. Timothy Dozat

Papers from Anastasios Alexandridis's perspective

Ordered by how strongly the researchers Anastasios Alexandridis 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. Recurrent Neural Network Regularization
  4. Wide Residual Networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Long Short-Term Memory
  7. ImageNet classification with deep convolutional neural networks
  8. Attention is All you Need (Neural Information Processing Systems)
  9. SRILM - an extensible language modeling toolkit
  10. Gradient-based learning applied to document recognition

Their papers