Publications by authors named "Roman Kaskman"

Article Synopsis
  • The paper explores how to use deep feed-forward neural networks to predict sets, which are collections that don't care about the order of elements and can vary in size.
  • It introduces a new method that defines how to model set distributions using discrete and joint distributions, addressing the challenges of traditional neural networks that focus on structured outputs.
  • The authors demonstrate their approach's effectiveness in real-world applications, outperforming existing models in multi-label image classification, object detection, and even successfully solving complex CAPTCHA tests.
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