Yitan Li

Artificial Intelligence · with Li · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yitan Li trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Andrew P. Bradley (in Evaluation & Benchmarks)
  2. Yoshua Bengio (in Artificial Intelligence)

Papers from Yitan Li's perspective

Ordered by how strongly the researchers Yitan Li trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  3. Deep Learning
  4. On the difficulty of training recurrent neural networks
  5. Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
  6. Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
  7. Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction
  8. Training energy-based models for time-series imputation
  9. Recurrent Neural Networks for Multivariate Time Series with Missing Values
  10. The use of the area under the ROC curve in the evaluation of machine learning algorithms

Their papers