Nicolas Papernot

Artificial Intelligence · with Anderson · 2023

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

Subfields

Whom Nicolas Papernot trusts

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

  1. Douglas A. Reynolds (in Artificial Intelligence)

Papers from Nicolas Papernot's perspective

Ordered by how strongly the researchers Nicolas Papernot 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. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  3. 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
  4. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  5. Overcoming catastrophic forgetting in neural networks
  6. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  7. Learning without Forgetting
  8. Deep neural networks are easily fooled: High confidence predictions for unrecognizable images
  9. Energy and Policy Considerations for Deep Learning in NLP
  10. ImageNet classification with deep convolutional neural networks

Their papers