Ping Wang

Artificial Intelligence · with Deng · 2019

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 Ping Wang trusts

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

  1. Olivier Bodenreider (in Artificial Intelligence)

Papers from Ping Wang's perspective

Ordered by how strongly the researchers Ping Wang 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. Improving Language Understanding by Generative Pre-Training
  4. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  5. Deep Contextualized Word Representations (North American Chapter of the Association for Computational Linguistics)
  6. XLNet: Generalized Autoregressive Pretraining for Language Understanding (Neural Information Processing Systems)
  7. GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
  8. Transformer-XL: Attentive Language Models beyond a Fixed-Length Context
  9. Translating Embeddings for Modeling Multi-relational Data
  10. SpanBERT: Improving Pre-training by Representing and Predicting Spans

Their papers