SlowGuess/NeurIPS_2023_OCR huggingface dataset:
[65] Chaoyi Wu, Feng Chang, Xiao Su, Zhihan Wu, Yanfeng Wang, Ling Zhu, and Ya Zhang. Integrating features from lymph node stations for metastatic lymph node detection. Computerized Medical Imaging and Graphics, 101:102108, 2022.
[66] Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, and Weidi Xie. Towards generalist foundation model for radiology. arXiv preprint arXiv:2308.02463, 2023.
[67] Yibo Yang, Liang Xie, Shixiang Chen, Xiangtai Li, Zhouchen Lin, and Dacheng Tao. Do we really need a learnable classifier at the end of deep neural network? arXiv preprint arXiv:2203.09081, 2022.
[68] Yuzhe Yang and Zhi Xu. Rethinking the value of labels for improving class-imbalanced learning. Advances in neural information processing systems, 33:19290-19301, 2020.
[69] Yuzhe Yang, Kaiwen Zha, Yingcong Chen, Hao Wang, and Dina Katabi. Delving into deep imbalanced regression. In International Conference on Machine Learning, pages 11842-11851. PMLR, 2021.
[70] Jiangchao Yao, Bo Han, Zhihan Zhou, Ya Zhang, and Ivor W Tsang. Latent class-conditional noise model. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.
[71] Jure Zbontar, Li Jing, Ishan Misra, Yann LeCun, and Stéphane Deny. Barlow twins: Self-supervised learning via redundancy reduction. In International Conference on Machine Learning, pages 12310–12320. PMLR, 2021.
[72] Fei Zhang, Lei Feng, Bo Han, Tongliang Liu, Gang Niu, Tao Qin, and Masashi Sugiyama. Exploiting class activation value for partial-label learning. In International Conference on Learning Representations, 2021.
[73] Fei Zhang, Chaochen Gu, Chenyue Zhang, and Yuchao Dai. Complementary patch for weakly supervised semantic segmentation. In Proceedings of the IEEE/CVF international conference on computer vision, pages 7242-7251, 2021.
[74] Ruipeng Zhang, Ziqing Fan, Qinwei Xu, Jiangchao Yao, Ya Zhang, and Yanfeng Wang. Grace: A generalized and personalized federated learning method for medical imaging. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pages 14-24. Springer, 2023.
[75] Yifan Zhang, Bingyi Kang, Bryan Hooi, Shuicheng Yan, and Jiashi Feng. Deep long-tailed learning: A survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.
[76] Yuhang Zhou, Jiangchao Yao, Feng Hong, Ya Zhang, and Yanfeng Wang. Balanced destruction-reconstruction dynamics for memory-replay class incremental learning. arXiv preprint arXiv:2308.01698, 2023.
[77] Zhihan Zhou, Jiangchao Yao, Yan-Feng Wang, Bo Han, and Ya Zhang. Contrastive learning with boosted memorization. In International Conference on Machine Learning, pages 27367-27377. PMLR, 2022.
[78] Zhihui Zhu, Tianyu Ding, Jinxin Zhou, Xiao Li, Chong You, Jeremias Sulam, and Qing Qu. A geometric analysis of neural collapse with unconstrained features. Advances in Neural Information Processing Systems, 34:29820-29834, 2021.