R. Lin
Natural Language Processing · with Zhang · 2002–2019
A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 16 citations into it
- Artificial Intelligence — 15 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom R. Lin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tomas Mikolov
- Geoffrey E. Hinton
- Franz Joseph Och
- Yoshua Bengio
- Quoc V. Le
- Ilya Sutskever
- Koray Kavukcuoglu
- Kyunghyun Cho
- Yann LeCun
- Regina Barzilay
Who trusts R. Lin overall
- Zhe Gan
- Yangfeng Ji
- Qian Chen
- Haonan Yu
- Oriol Vinyals
- Bofang Li
- Yunchen Pu
- Shonosuke Ishiwatari
- Nikolaos Pappas
- Ricardo Henao
Papers from R. Lin's perspective
Ordered by how strongly the researchers R. Lin 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Hierarchical Recurrent Neural Network for Document Modeling (2015) — 169 citations
- The roles of initial trust and perceived risk in public’s acceptance of automated vehicles (2019) — 737 citations
- An adjustable work function technology using Mo gate for CMOS devices (2002) — 190 citations