Brian Tang

Artificial Intelligence · 2022

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 Brian Tang trusts overall

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

  1. Peng Shi
  2. Franziska Roesner

Papers from Brian Tang's perspective

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

  1. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  2. An Introduction to Information Retrieval
  3. Detecting and Defending Against Third-Party Tracking on the Web (Symposium on Networked Systems Design and Implementation)
  4. Simple BERT Models for Relation Extraction and Semantic Role Labeling
  5. Attention is All you Need (Neural Information Processing Systems)
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Improving Language Understanding by Generative Pre-Training
  8. Language Models are Unsupervised Multitask Learners
  9. Long Short-Term Memory
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers