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Tue Jul 19 10:30 AM -- 10:35 AM (PDT) @ Ballroom 1 & 2
Online Continual Learning through Mutual Information Maximization
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Tue Jul 19 10:35 AM -- 10:40 AM (PDT) @ Ballroom 1 & 2
Learning Iterative Reasoning through Energy Minimization
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Tue Jul 19 10:40 AM -- 10:45 AM (PDT) @ Ballroom 1 & 2
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
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Tue Jul 19 10:45 AM -- 10:50 AM (PDT) @ Ballroom 1 & 2
PoF: Post-Training of Feature Extractor for Improving Generalization
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Tue Jul 19 10:50 AM -- 10:55 AM (PDT) @ Ballroom 1 & 2
Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation
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Tue Jul 19 10:55 AM -- 11:00 AM (PDT) @ Ballroom 1 & 2
Set Based Stochastic Subsampling
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Tue Jul 19 11:00 AM -- 11:20 AM (PDT) @ Ballroom 1 & 2 None
Monarch: Expressive Structured Matrices for Efficient and Accurate Training
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Tue Jul 19 11:20 AM -- 11:25 AM (PDT) @ Ballroom 1 & 2
Generalizing to New Physical Systems via Context-Informed Dynamics Model
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Tue Jul 19 11:25 AM -- 11:30 AM (PDT) @ Ballroom 1 & 2
Self-conditioning Pre-Trained Language Models
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Tue Jul 19 11:30 AM -- 11:35 AM (PDT) @ Ballroom 1 & 2
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification
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Tue Jul 19 11:35 AM -- 11:40 AM (PDT) @ Ballroom 1 & 2
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization
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Tue Jul 19 11:40 AM -- 11:45 AM (PDT) @ Ballroom 1 & 2
Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning
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Tue Jul 19 11:45 AM -- 11:50 AM (PDT) @ Ballroom 1 & 2
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs
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Tue Jul 19 11:50 AM -- 11:55 AM (PDT) @ Ballroom 1 & 2
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee