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trans_learn:reading_group_2023

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Medical Meta Transfer Learning Reading Group

A biweekly reading group to discuss recent or classical papers on transfer learning methodologies and their applications on medical tasks. Other interesting theory topics are also welcomed.

Time: Wednesday 8:30 p.m. (GMT+8)


04/12/2023

04/26/2023

05/10/2023

  • Presenter: Zhao Zixi
  • Paper: Test-time Adaptation in the Dynamic World with Compound Domain Knowledge Management (Song, IEEE Robotics and Automation Letters 2022)

05/24/2023

  • Presenter: Lai Jiahao
  • Paper: Variational Continual Learning (Nguyen, ICLR 2018)

06/21/2023

07/05/2023

  • Presenter: Zhao Zixi
  • Paper: Mad Max: Affine Spline Insights into Deep Learning (Balestriero, expanded from ICML 2018)
  • Slides: 7.5_pre.pptx

07/19/2023

  • Presenter: Dong Caixia
  • High-quality coronary artery segmentation via fuzzy logic modeling coupled with dynamic graph convolutional network

08/02/2023

  • Presenter: Duan Shutong; Zhang Enming
  • Paper: Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation (Han, AAAI 2023)
  • Slides:

08/16/2023

  • Presenter 2: Zhao Zixi
  • Paper: Max-Affine Spline Insights Into Deep Network Pruning (You and Balestriero, Transactions on Machine Learning Research 2022)
  • Slides:

08/30/2023

  • Presenter 1: Yang Jingyun
  • Paper: TR-GAN: Multi-Session Future MRI Prediction With Temporal Recurrent Generative Adversarial Network (Fan, IEEE Transactions on Medical Imaging 2022)
  • Slides:
  • Presenter 2: Chen Xuechao
  • Paper: Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts (Liu, ICLR 2023)
  • Slides:

trans_learn/reading_group_2023.1693820726.txt.gz · Last modified: 2023/09/04 05:45 by wuyr