Jeevan Shankar
Natural Language Processing · 2014
A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 19 citations into it; #2,941 of 5,688 by trust here, #3,014 by citations
- Artificial Intelligence — 12 citations into it; #16,634 of 35,345 by trust here, #14,181 by citations
- Representation & Self-Supervised Learning — 7 citations into it; #1,761 of 3,145 by trust here, #1,781 by citations
Whom Jeevan Shankar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tomas Mikolov
- Yoshua Bengio
- Ronan Collobert
- Ilya Sutskever
- Lev-Arie Ratinov
- Adam Meyerson
- Geoffrey E. Hinton
- Richard Socher
- John C. Duchi
- Quoc V. Le
Who trusts Jeevan Shankar overall
- Mohammad Taher Pilehvar
- José Camacho-Collados
- Eric T. Nalisnick
- Xinxiong Chen
- Haim Dubossarsky
- Danushka Bollegala
- Zhiyuan Liu
- Mikael Kågebäck
Papers from Jeevan Shankar's perspective
Ordered by how strongly the researchers Jeevan Shankar 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
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space (2014) — 474 citations