Amit Moryossef
Artificial Intelligence · 2019
A researcher in the Science corpus: 3 papers; trusts 63 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 39 citations into it; #19,064 of 35,345 by trust here, #12,244 by citations
- Natural Language Processing — 39 citations into it; #3,274 of 5,688 by trust here, #2,634 by citations
- Computer Vision and Pattern Recognition — 12 citations into it; #12,051 of 21,575 by trust here, #10,154 by citations
- Evaluation & Benchmarks — 10 citations into it
Whom Amit Moryossef trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Philipp Koehn
- Yoshua Bengio
- Sepp Hochreiter
- Robert E. Schapire
- Chin-Yew Lin
- Dzmitry Bahdanau
- Sam Wiseman
- Geoffrey E. Hinton
- Steven Bird
- Rico Sennrich
Who trusts Amit Moryossef overall
- Tianyu Liu
- Dragomir R. Radev
- Leonardo F. R. Ribeiro
- Emily Sheng
- Zhiyu Chen
- Thiago Castro Ferreira
- Xin Zheng
- Jinfeng Rao
- Yixuan Su
- Xiaoyu Shen
Papers from Amit Moryossef's perspective
Ordered by how strongly the researchers Amit Moryossef trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- 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
- Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation (2019) — 198 citations
- Filling Gender & Number Gaps in Neural Machine Translation with Black-box Context Injection (2019) — 55 citations
- Improving Quality and Efficiency in Plan-based Neural Data-to-text Generation (2019) — 18 citations