Wei Tan
Artificial Intelligence · with Zhang · 2014–2017
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 27 citations into it
- Model Architectures — 16 citations into it
Whom Wei Tan trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio (in Artificial Intelligence)
- Bo Liu (in Industrial and Manufacturing Engineering)
- Yihui Jin (in Industrial and Manufacturing Engineering)
- Ling Wang (in Industrial and Manufacturing Engineering)
Papers from Wei Tan's perspective
Ordered by how strongly the researchers Wei Tan trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Layer Normalization
- WaveNet: A Generative Model for Raw Audio
- On the difficulty of training recurrent neural networks
- Building a Large Annotated Corpus of English: The Penn Treebank
- ImageNet classification with deep convolutional neural networks
- Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
- TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- Dilated Recurrent Neural Networks (2017) — 351 citations
- Self-Adaptive Learning PSO-Based Deadline Constrained Task Scheduling for Hybrid IaaS Cloud (2014) — 294 citations