Paul Reisert

Artificial Intelligence · 2019

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

Subfields

Whom Paul Reisert trusts

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

  1. Samuel R. Bowman (in Artificial Intelligence)
  2. Diederik P. Kingma (in Artificial Intelligence)
  3. Jimmy Ba (in Artificial Intelligence)

Papers from Paul Reisert's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  4. Deep Contextualized Word Representations (North American Chapter of the Association for Computational Linguistics)
  5. A large annotated corpus for learning natural language inference
  6. A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
  7. Annotation Artifacts in Natural Language Inference Data
  8. Multi-Task Deep Neural Networks for Natural Language Understanding
  9. SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers