Ira Leviant
Natural Language Processing · 2015–2017
A researcher in the Science corpus: 2 papers; trusts 59 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 73 citations into it; #2,314 of 5,688 by trust here, #4,983 by citations
- Artificial Intelligence — 72 citations into it
- Representation & Self-Supervised Learning — 38 citations into it; #1,402 of 3,145 by trust here, #2,863 by citations
- Computer Vision and Pattern Recognition — 7 citations into it
- Evaluation & Benchmarks — 6 citations into it
- Information Retrieval & Search — 5 citations into it
- Molecular Biology — 5 citations into it
Whom Ira Leviant trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Marco Baroni
- Yoshua Bengio
- Tomas Mikolov
- Richard Socher
- Geoffrey E. Hinton
- Karl Moritz Hermann
- Felix Hill
- Ilya Sutskever
- Diederik P. Kingma
- Elia Bruni
Who trusts Ira Leviant overall
- José Camacho-Collados
- Ivan Vulic
- Sebastian Ruder
- Anne Lauscher
- Hila Gonen
- Nikola Mrksic
- Mohammad Taher Pilehvar
- Goran Glavas
- Yova Kementchedjhieva
- Anders Søgaard
Papers from Ira Leviant's perspective
Ordered by how strongly the researchers Ira Leviant trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)