Nadav Rappoport

Evaluation & Benchmarks · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nadav Rappoport trusts overall

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

  1. Hirotugu Akaike
  2. Yoav Benjamini
  3. Y. Hochberg
  4. James Y. Zou
  5. D. Nathan

Papers from Nadav Rappoport's perspective

Ordered by how strongly the researchers Nadav Rappoport 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. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  4. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  5. Improving Language Understanding by Generative Pre-Training
  6. A Survey on Transfer Learning
  7. TensorFlow: A system for large-scale machine learning
  8. Long Short-Term Memory
  9. ImageNet classification with deep convolutional neural networks
  10. ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Their papers