Israel Campiotti

Artificial Intelligence · 2020

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 Israel Campiotti trusts overall

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

  1. Taku Kudo
  2. Noam Shazeer
  3. Ilya Loshchilov

Papers from Israel Campiotti's perspective

Ordered by how strongly the researchers Israel Campiotti 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. 5分で分かる!? 有名論文ナナメ読み：Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
  3. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Decoupled Weight Decay Regularization
  6. SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing
  7. Adafactor: Adaptive Learning Rates with Sublinear Memory Cost
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates
  10. ImageNet classification with deep convolutional neural networks

Their papers