trans_learn:reading_group_2023
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: Monday 10:30 a.m. (GMT+8)
04/12/2023
- Presenter: Wu Yanru
- Paper: Auxiliary Task Reweighting for Minimum-data Learning (Shi, NeurIPS 2020)
- Slides: auxiliary_task_reweighting.pptx
04/26/2023
- Presenter: Duan Shutong
- A Brief Research in Semantic Segmentation with Multisource
- Slides:brief_literature_review.pptx
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)
- Slides: 5.10_pre.pptx
05/24/2023
- Presenter: Lai Jiahao
- Paper: Variational Continual Learning (Nguyen, ICLR 2018)
- Slides: 5.24组会.pdf
06/21/2023
- Presenter: Wu Yanru
- Paper: A Geometric Analysis of Neural Collapse with Unconstrained Features (Zhu and Ding, NeurIPS 2021)
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
- Paper: High-quality coronary artery segmentation via fuzzy logic modeling coupled with dynamic graph convolutional network
- Slides: 冠脉分割20230802dcx.pdf
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: date.pptx
08/16/2023
- Presenter 1: Wang Jingge
- Paper: TR-GAN: Multi-Session Future MRI Prediction With Temporal Recurrent Generative Adversarial Network (Fan, IEEE Transactions on Medical Imaging 2022)
- Presenter 2: Zhao Zixi
- Paper: Max-Affine Spline Insights Into Deep Network Pruning (You and Balestriero, Transactions on Machine Learning Research 2022)
- Slides: 8.16_pre.pptx
08/30/2023
- Presenter 1: Yang Jingyun
- Paper: Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation (Yang, MICCAI 2023)
- Slides: rd.pdf
- Presenter 2: Chen Xuechao
- Paper: Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts (Liu, ICLR 2023)
- Slides: paperreading20230830.pptx
09/18/2023
- Presenter 1: Xiangyu Chen
- Paper: Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure (Sato, ICML 2023)
- Slides: graph_recover.pptx
- Presenter 2: Yanru Wu
- Paper: MATE: Plugging in Model Awareness to Task Embedding for Meta Learning (Chen and Wang, NeurIPS 2020)
- Slides: mate.pptx
10/11/2023
- Presenter 1: Hanbing Liu
- Paper: Active Gradual Domain Adaptation: Dataset and Approach (Zhou, IEEE Transactions on Multimedia 2022)
- Slides: o
- Presenter 2: Jiahao Lai
- Paper: Hypergraph Neural Networks (Feng, AAAI 2019)
- Slides: hypergnn.pdf
10/23/2023
- Presenter: Haohua Wang
- Paper: Fine-Tuning Language Models with Advantage-Induced Policy Alignment (Zhu, arXiv:2306.02231)
—————————–
trans_learn/reading_group_2023.txt · Last modified: 2023/10/23 10:47 by wuyr