I. Gurevych

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom I. Gurevych trusts

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

  1. Kyunghyun Cho (in Artificial Intelligence)
  2. Sergey Ioffe (in Computer Vision and Pattern Recognition)
  3. Rodrigo Nogueira (in Artificial Intelligence)
  4. Jimmy J. Lin (in Artificial Intelligence)
  5. Kenton C. T. Lee (in Artificial Intelligence)
  6. Kristina Toutanova (in Artificial Intelligence)
  7. Ming-Wei Chang (in Artificial Intelligence)

Who trusts I. Gurevych

  1. Niklas Muennighoff (in Artificial Intelligence)

Papers from I. Gurevych's perspective

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

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  3. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. A large annotated corpus for learning natural language inference
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
  8. REALM: Retrieval-Augmented Language Model Pre-Training (International Conference on Machine Learning)
  9. Billion-Scale Similarity Search with GPUs
  10. ImageNet classification with deep convolutional neural networks

Their papers