Shimi Salant
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 119 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 45 citations into it; #19,019 of 35,345 by trust here, #25,040 by citations
- Natural Language Processing — 35 citations into it; #3,268 of 5,688 by trust here, #4,601 by citations
- Computer Vision and Pattern Recognition — 22 citations into it
- Model Architectures — 13 citations into it
- Information Retrieval & Search — 6 citations into it
- Representation & Self-Supervised Learning — 5 citations into it; #1,955 of 3,145 by trust here, #2,624 by citations
- Signal Processing — 5 citations into it
Whom Shimi Salant trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Tomas Mikolov
- Alex Krizhevsky
- Ilya Sutskever
- Jimmy Ba
- Richard Socher
- Quoc V. Le
- Christopher D. Manning
Who trusts Shimi Salant overall
- Debajyoti Chatterjee
- Bhuwan Dhingra
- Zhilin Yang
- Danish Pruthi
- José Camacho-Collados
- Peng Qi
- Dheeraj Rajagopal
Papers from Shimi Salant's perspective
Ordered by how strongly the researchers Shimi Salant trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Contextualized Word Representations for Reading Comprehension (2017) — 42 citations