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• MVCINN: Multi-View Diabetic Retinopathy Detection Using a Deep Cross-Interaction Neural Network

  Xiaoling Luo, Chengliang Liu, Waikeung Wong, Jie Wen, Xiaopeng Jin, Yong Xu

  8993-9001

  2023-06-26

• Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization

  Yikang Wei, Yahong Han

  15805-15813

  2024-03-24

• Fredholm Multiple Kernel Learning for Semi-Supervised Domain Adaptation

  Wei Wang, Hao Wang, Chen Zhang, Yang Gao

  2017-02-13

• Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees

  Weijia Zhang, Chun Kai Ling, Xuanhui Zhang

  20613-20621

  2024-03-24

• Reconstructing Hidden Permutations Using the Average-Precision (AP) Correlation Statistic

  Lorenzo De Stefani, Alessandro Epasto, Eli Upfal, Fabio Vandin

  2016-02-21

• Revealing the Proximate Long-Tail Distribution in Compositional Zero-Shot Learning

  Chenyi Jiang, Haofeng Zhang

  2498-2506

  2024-03-24

• MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees

  Colin Sullivan, Mo Tiwari, Sebastian Thrun

  9019-9026

  2024-03-24

• The Unreasonable Effectiveness of Deep Evidential Regression

  Nis Meinert, Jakob Gawlikowski, Alexander Lavin

  9134-9142

  2023-06-26

• A Sequentially Fair Mechanism for Multiple Sensitive Attributes

  Francois Hu, Philipp Ratz, Arthur Charpentier

  12502-12510

  2024-03-24

• Prediction and Fault Detection of Environmental Signals with Uncharacterised Faults

  Michael Osborne, Roman Garnett, Kevin Swersky, Nando de Freitas

  349-355

  2021-09-20

• Smooth Optimization for Effective Multiple Kernel Learning

  Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael Lyu, Irwin King

  637-642

  2010-07-03

• Interventional SHAP Values and Interaction Values for Piecewise Linear Regression Trees

  Artjom Zern, Klaus Broelemann, Gjergji Kasneci

  11164-11173

  2023-06-26

• Scalable Optimal Multiway-Split Decision Trees with Constraints

  Shivaram Subramanian, Wei Sun

  9891-9899

  2023-06-26

• Progressive One-shot Human Parsing

  Haoyu He, Jing Zhang, Bhavani Thuraisingham, Dacheng Tao

  1522-1530

  2021-05-18

• Teaching the Old Dog New Tricks: Supervised Learning with Constraints

  Fabrizio Detassis, Michele Lombardi, Michela Milano

  3742-3749

  2021-05-18

• Optimal Sparse Regression Trees

  Rui Zhang, Rui Xin, Margo Seltzer, Cynthia Rudin

  11270-11279

  2023-06-26

• Toward a Perspectivist Turn in Ground Truthing for Predictive Computing

  Federico Cabitza, Andrea Campagner, Valerio Basile

  6860-6868

  2023-06-26

• Variable Importance in High-Dimensional Settings Requires Grouping

  Ahmad Chamma, Bertrand Thirion, Denis Engemann

  11195-11203

  2024-03-24

• Adversarial Partial Multi-Label Learning with Label Disambiguation

  Yan Yan, Yuhong Guo

  10568-10576

  2021-05-18

• Characterizing the Evasion Attackability of Multi-label Classifiers

  Zhuo Yang, Yufei Han, Xiangliang Zhang

  10647-10655

  2021-05-18

• Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation

  Yuheng Jia, Xiaorui Peng, Ran Wang, Min-Ling Zhang

  12857-12865

  2024-03-24

• Defying Imbalanced Forgetting in Class Incremental Learning

  Shixiong Xu, Gaofeng Meng, Xing Nie, Bolin Ni, Bin Fan, Shiming Xiang

  16211-16219

  2024-03-24

• Robust Loss Functions for Training Decision Trees with Noisy Labels

  Jonathan Wilton, Nan Ye

  15859-15867

  2024-03-24

• Towards Global Video Scene Segmentation with Context-Aware Transformer

  Yang Yang, Yurui Huang, Weili Guo, Baohua Xu, Dingyin Xia

  3206-3213

  2023-06-26

• AUC Optimization from Multiple Unlabeled Datasets

  Zheng Xie, Yu Liu, Ming Li

  16058-16066

  2024-03-24