Mathias Göschl

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mathias Göschl trusts overall

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

  1. Ilya Sutskever
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Zhiyong Lu
  6. Tomas Mikolov
  7. Kyunghyun Cho
  8. Xavier Glorot

Papers from Mathias Göschl's perspective

Ordered by how strongly the researchers Mathias Göschl trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  10. ImageNet: A large-scale hierarchical image database

Their papers