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Fri Jul 22 04:30 AM -- 04:35 AM (KST) @ Hall F
Convergence of Invariant Graph Networks
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Fri Jul 22 04:35 AM -- 04:40 AM (KST) @ Hall F
Rich Feature Construction for the Optimization-Generalization Dilemma
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Fri Jul 22 04:40 AM -- 04:45 AM (KST) @ Hall F
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework
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Fri Jul 22 04:45 AM -- 04:50 AM (KST) @ Hall F
Resilient and Communication Efficient Learning for Heterogeneous Federated Systems
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Fri Jul 22 04:50 AM -- 04:55 AM (KST) @ Hall F
Augment with Care: Contrastive Learning for Combinatorial Problems
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Fri Jul 22 04:55 AM -- 05:00 AM (KST) @ Hall F
Cycle Representation Learning for Inductive Relation Prediction
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Fri Jul 22 05:00 AM -- 05:05 AM (KST) @ Hall F
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Oral
Fri Jul 22 05:05 AM -- 05:25 AM (KST) @ Hall F
Do More Negative Samples Necessarily Hurt In Contrastive Learning?
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Fri Jul 22 05:25 AM -- 05:30 AM (KST) @ Hall F
MetAug: Contrastive Learning via Meta Feature Augmentation
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Fri Jul 22 05:30 AM -- 05:35 AM (KST) @ Hall F
Investigating Why Contrastive Learning Benefits Robustness against Label Noise
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Fri Jul 22 05:35 AM -- 05:40 AM (KST) @ Hall F
Contrastive Learning with Boosted Memorization
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Fri Jul 22 05:40 AM -- 05:45 AM (KST) @ Hall F
Identity-Disentangled Adversarial Augmentation for Self-supervised Learning
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Fri Jul 22 05:45 AM -- 05:50 AM (KST) @ Hall F
Interventional Contrastive Learning with Meta Semantic Regularizer
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Fri Jul 22 05:50 AM -- 05:55 AM (KST) @ Hall F
On the Surrogate Gap between Contrastive and Supervised Losses
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Fri Jul 22 05:55 AM -- 06:00 AM (KST) @ Hall F
Exploring the Gap between Collapsed & Whitened Features in Self-Supervised Learning
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