Jens Johannsmeier

Artificial Intelligence · 2017

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 Jens Johannsmeier trusts overall

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

  1. Alex Graves

Papers from Jens Johannsmeier's perspective

Ordered by how strongly the researchers Jens Johannsmeier 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. Understanding the difficulty of training deep feedforward neural networks
  3. Rectifier Nonlinearities Improve Neural Network Acoustic Models
  4. Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
  5. Librispeech: An ASR corpus based on public domain audio books
  6. Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin
  7. Supervised Sequence Labelling with Recurrent Neural Networks
  8. Wav2Letter: an End-to-End ConvNet-based Speech Recognition System
  9. Multilingual acoustic models using distributed deep neural networks
  10. Scalable Modified Kneser-Ney Language Model Estimation

Their papers