Roy Sadaka
Natural Language Processing · 2019
A researcher in the Science corpus: 2 papers; trusts 56 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 65 citations into it; #3,303 of 5,688 by trust here, #3,897 by citations
- Artificial Intelligence — 63 citations into it
- Information Systems — 41 citations into it
- Code Generation & Program Synthesis — 23 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it
- Signal Processing — 10 citations into it
- Software — 9 citations into it
- Program Analysis & Verification — 6 citations into it
Whom Roy Sadaka trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Miltiadis Allamanis
- Diederik P. Kingma
- Uri Alon
- Geoffrey E. Hinton
- Yoshua Bengio
- Jimmy Ba
- Marc Brockschmidt
- Ilya Sutskever
- Alex Krizhevsky
- Ashish Vaswani
Who trusts Roy Sadaka overall
- Roei Schuster
- Uri Alon
- Seohyun Kim
- Shaked Brody
- Matteo Ciniselli
- Gareth Ari Aye
- Congzheng Song
- Tal Schuster
Papers from Roy Sadaka's perspective
Ordered by how strongly the researchers Roy Sadaka trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
Their papers
- Structural Language Models for Any-Code Generation (2019) — 19 citations
- Structural Language Models of Code (2019) — 116 citations