Jing Zhou
Artificial Intelligence · with Chitta · 2017
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 18 citations into it
- Natural Language Processing — 8 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
- Model Architectures — 7 citations into it
Whom Jing Zhou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Matthew D. Zeiler
- Kyunghyun Cho
- Dzmitry Bahdanau
- Geoffrey E. Hinton
- Sepp Hochreiter
- Edward Choi
- J. Urgen Schmidhuber
- Ilya Sutskever
- Alex Krizhevsky
Papers from Jing Zhou's perspective
Ordered by how strongly the researchers Jing Zhou trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- 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)
- Attention is All you Need (Neural Information Processing Systems)
- 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)