Ngā tūemi rite

• Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI
  mā: Cui, Lingxi, me ētahi atu.
  I whakaputaina: (2024)
• TILBench: A Systematic Benchmark for Tabular Imbalanced Learning Across Data Regimes
  mā: Liu, Ruizhe, me ētahi atu.
  I whakaputaina: (2026)
• Interpretable Deep Clustering for Tabular Data
  mā: Svirsky, Jonathan, me ētahi atu.
  I whakaputaina: (2023)
• Deep Learning with Tabular Data: A Self-supervised Approach
  mā: Vyas, Tirth Kiranbhai
  I whakaputaina: (2024)
• Data-Aware Training Quality Monitoring and Certification for Reliable Deep Learning
  mā: Yeganegi, Farhang, me ētahi atu.
  I whakaputaina: (2024)