Caiwen Ding

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Natural Language Processing — 22 citations into it

Whom Caiwen Ding trusts

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

1. Samuel R. Bowman (in Artificial Intelligence)

Papers from Caiwen Ding's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Long Short-Term Memory
3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
4. Distilling the Knowledge in a Neural Network (arXiv.org)
5. Language Models are Few-Shot Learners (Neural Information Processing Systems)
6. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
7. Deep Contextualized Word Representations (North American Chapter of the Association for Computational Linguistics)
8. Automatic differentiation in PyTorch
9. SQuAD: 100,000+ Questions for Machine Comprehension of Text
10. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank

Their papers

• Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning (2020) — 67 citations
• FTRANS: energy-efficient acceleration of transformers using FPGA (2020) — 231 citations