Kan Ren
Artificial Intelligence · 2016–2017
A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 53 citations into it; #33,608 of 35,345 by trust here, #15,236 by citations
- Computer Vision and Pattern Recognition — 46 citations into it
- Information Systems — 23 citations into it; #8,183 of 8,771 by trust here, #2,667 by citations
- Model Architectures — 10 citations into it
- Recommender Systems — 7 citations into it
- Reinforcement Learning — 6 citations into it
Whom Kan Ren trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Weinan Zhang
- Yoshua Bengio
- Geoffrey E. Hinton
- Ruslan Salakhutdinov
- Alex Krizhevsky
- Ilya Sutskever
- Yann LeCun
- Diederik P. Kingma
- Stephen W. Carden
- Alex Graves
Who trusts Kan Ren overall
Papers from Kan Ren's perspective
Ordered by how strongly the researchers Kan Ren 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Activation Maximization Generative Adversarial Nets (2017) — 80 citations
- Real-Time Bidding by Reinforcement Learning in Display Advertising (2017) — 310 citations
- Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration (2017) — 160 citations
- Product-Based Neural Networks for User Response Prediction (2016) — 790 citations