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Wed Jul 20 01:30 PM -- 01:35 PM (PDT) @ Room 310
A New Perspective on the Effects of Spectrum in Graph Neural Networks
Spotlight
Wed Jul 20 01:35 PM -- 01:40 PM (PDT) @ Room 310
Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks
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Wed Jul 20 01:40 PM -- 01:45 PM (PDT) @ Room 310
Partial Label Learning via Label Influence Function
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Wed Jul 20 01:45 PM -- 01:50 PM (PDT) @ Room 310
Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees
Spotlight
Wed Jul 20 01:50 PM -- 01:55 PM (PDT) @ Room 310
Understanding Robust Overfitting of Adversarial Training and Beyond
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Wed Jul 20 01:55 PM -- 02:00 PM (PDT) @ Room 310
A Random Matrix Analysis of Data Stream Clustering: Coping With Limited Memory Resources
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Oral
Wed Jul 20 02:00 PM -- 02:20 PM (PDT) @ Room 310
Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models.
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Wed Jul 20 02:20 PM -- 02:25 PM (PDT) @ Room 310
Supervised Learning with General Risk Functionals
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Wed Jul 20 02:25 PM -- 02:30 PM (PDT) @ Room 310
Locally Sparse Neural Networks for Tabular Biomedical Data
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Wed Jul 20 02:30 PM -- 02:35 PM (PDT) @ Room 310
Dual Perspective of Label-Specific Feature Learning for Multi-Label Classification
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Wed Jul 20 02:35 PM -- 02:40 PM (PDT) @ Room 310
Detecting Corrupted Labels Without Training a Model to Predict
Spotlight
Wed Jul 20 02:40 PM -- 02:45 PM (PDT) @ Room 310
Prototype-Anchored Learning for Learning with Imperfect Annotations
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Wed Jul 20 02:45 PM -- 02:50 PM (PDT) @ Room 310
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters
Spotlight
Wed Jul 20 02:50 PM -- 02:55 PM (PDT) @ Room 310
Deep Safe Incomplete Multi-view Clustering: Theorem and Algorithm