Martin Franz

Artificial Intelligence · with Castelli · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Franz trusts

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

  1. Kenton C. T. Lee (in Artificial Intelligence)
  2. Ming-Wei Chang (in Artificial Intelligence)

Papers from Martin Franz's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Reading Wikipedia to Answer Open-Domain Questions
  3. Long Short-Term Memory
  4. BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
  7. REALM: Retrieval-Augmented Language Model Pre-Training (International Conference on Machine Learning)
  8. Semantic Parsing on Freebase from Question-Answer Pairs
  9. ImageNet classification with deep convolutional neural networks
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers