Daniel Hardt

Natural Language Processing · 2018

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 Daniel Hardt trusts overall

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

  1. Philipp Koehn
  2. Radim Rehurek

Papers from Daniel Hardt's perspective

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

  1. Europarl: A Parallel Corpus for Statistical Machine Translation
  2. Improving Distributional Similarity with Lessons Learned from Word Embeddings
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Software Framework for Topic Modelling with Large Corpora
  5. Long Short-Term Memory
  6. Business Intelligence and Analytics: From Big Data to Big Impact (MIS Q.)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet classification with deep convolutional neural networks
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers