All Stories

  1. Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization
  2. APEX 2 : Adaptive and Extreme Summarization for Personalized Knowledge Graphs
  3. Co-clustering for Federated Recommender System
  4. Deep Co-Attention Network for Multi-View Subspace Learning
  5. Domain Adaptive Multi-Modality Neural Attention Network for Financial Forecasting
  6. Crowd Teaching with Imperfect Labels
  7. Convolution-Consistent Collective Matrix Completion
  8. Towards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention Networks
  9. Task-Adversarial Co-Generative Nets
  10. Optimizing the Wisdom of the Crowd
  11. Multi-task Crowdsourcing via an Optimization Framework
  12. Textual Indicator Extraction from Aviation Accident Reports
  13. Should patients with diabetes be encouraged to integrate social media into their care plan?
  14. Unlearn What You Have Learned
  15. Function-on-Function Regression with Mode-Sparsity Regularization
  16. GTA 3 2018
  17. Local Algorithm for User Action Prediction Towards Display Ads
  18. A Local Algorithm for Structure-Preserving Graph Cut
  19. Multi-task Function-on-function Regression with Co-grouping Structured Sparsity
  20. Jointly Modeling Label and Feature Heterogeneity in Medical Informatics
  21. Co-Clustering Structural Temporal Data with Applications to Semiconductor Manufacturing
  22. Comparing Random Forest with Logistic Regression for Predicting Class-Imbalanced Civil War Onset Data
  23. A Graph-based Recommendation across Heterogeneous Domains
  24. Co-Clustering based Dual Prediction for Cargo Pricing Optimization
  25. Model Multiple Heterogeneity via Hierarchical Multi-Latent Space Learning
  26. MI2LS