Adi Haviv

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 65 citations into it
• Natural Language Processing — 43 citations into it

Whom Adi Haviv trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Jacob Devlin
4. Diederik P. Kingma
5. Alec Radford
6. Ilya Sutskever
7. Yinhan Liu
8. Myle Ott
9. Ashish Vaswani
10. Alex Krizhevsky

Who trusts Adi Haviv overall

1. Ohad Rubin
2. Amirhossein Kazemnejad
3. Jonathan Herzig
4. Tara Safavi

Papers from Adi Haviv's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Gradient-based learning applied to document recognition
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Transformer Language Models without Positional Encodings Still Learn Positional Information (2022) — 193 citations
• SCROLLS: Standardized CompaRison Over Long Language Sequences (2022) — 184 citations
• BERTese: Learning to Speak to BERT (2021) — 139 citations