Vered Cohen

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 54 citations into it
• Natural Language Processing — 50 citations into it
• Evaluation & Benchmarks — 37 citations into it

Whom Vered Cohen trusts

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

1. Chin-Yew Lin (in Natural Language Processing)
2. Christopher D. Manning (in Artificial Intelligence)
3. Jason Aaron Edward Weston (in Artificial Intelligence)
4. Yoshua Bengio (in Artificial Intelligence)
5. Diederik P. Kingma (in Artificial Intelligence)
6. Kyunghyun Cho (in Artificial Intelligence)

Papers from Vered Cohen's perspective

Ordered by how strongly the researchers Vered Cohen 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. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
3. Bleu: a Method for Automatic Evaluation of Machine Translation
4. Attention is All you Need (Neural Information Processing Systems)
5. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. ImageNet classification with deep convolutional neural networks
10. A large annotated corpus for learning natural language inference

Their papers

• TRUE: Re-evaluating Factual Consistency Evaluation (2022) — 372 citations