Doron Kukliansy

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 Doron Kukliansy 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 Doron Kukliansy's perspective

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

Their papers

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