Self-training with Noisy Student

Self-training with Noisy Student

I used a self-training method to improve classification accuracy on CIFAR-10 and MNIST datasets.I proposed a new way of finding hyperparameters for noisy student model that is part of self-training.

Poster: https://drive.google.com/file/d/127WxX7hK32KVENsfb_ZwtqLLbQylJLTK/view?usp=sharing

Video: https://drive.google.com/file/d/10F0KoQpT1z9Hkwz7pCqOAQdU5_LE03HF/view?usp=sharing

Project Poster: 

Project Members: 

Hasan Yaman

Project Advisor: 

Lale Akarun

Project Status: 

Project Year: 

2020
  • Spring

Bize Ulaşın

Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi,
34342 Bebek, İstanbul, Türkiye

  • Telefon: +90 212 359 45 23/24
  • Faks: +90 212 2872461
 

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