Ori Katz

Artificial Intelligence · with Barkan · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Natural Language Processing — 22 citations into it
• Representation & Self-Supervised Learning — 10 citations into it

Whom Ori Katz trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Yoshua Bengio
4. Alexis Conneau
5. Alec Radford
6. Jimmy Ba
7. Ilya Sutskever
8. Alex Krizhevsky
9. Xiaodong Liu

Papers from Ori Katz's perspective

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

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

Their papers

• Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding (2019) — 38 citations