Yu Tong

AAAI Conference on Artificial Intelligence · 2021

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

Whom Yu Tong trusts

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

  1. Jaka Demsar (in Evaluation & Benchmarks)

Papers from Yu Tong's perspective

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

  1. A Simple Framework for Contrastive Learning of Visual Representations (International Conference on Machine Learning)
  2. An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
  3. wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations (Neural Information Processing Systems)
  4. A Multi-Horizon Quantile Recurrent Forecaster
  5. Statistical Comparisons of Classifiers over Multiple Data Sets
  6. Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
  7. An efficient framework for learning sentence representations
  8. DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks (International Journal of Forecasting)
  9. Unsupervised Scalable Representation Learning for Multivariate Time Series
  10. Time series analysis, forecasting and control

Their papers