Andreas van Cranenburgh

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Andreas van Cranenburgh trusts overall

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

  1. E. Tjong Kim Sang
  2. Aylin Caliskan
  3. Taku Kudo
  4. Jeremy Howard
  5. Shijie Wu
  6. Jacob Devlin

Who trusts Andreas van Cranenburgh overall

  1. Zili Wang
  2. Dat Quoc Nguyen
  3. Muhammad Abdul-Mageed
  4. Pieter Delobelle

Papers from Andreas van Cranenburgh's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. Deep Contextualized Word Representations (North American Chapter of the Association for Computational Linguistics)
  4. Long Short-Term Memory
  5. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. ImageNet classification with deep convolutional neural networks
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  10. GloVe: Global Vectors for Word Representation

Their papers