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Tue Jul 19 07:30 AM -- 07:35 AM (PDT) @ Room 318 - 320
Multi-Task Learning as a Bargaining Game
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Tue Jul 19 07:35 AM -- 07:40 AM (PDT) @ Room 318 - 320
Frustratingly Easy Transferability Estimation
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Tue Jul 19 07:40 AM -- 07:45 AM (PDT) @ Room 318 - 320
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling
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Tue Jul 19 07:45 AM -- 07:50 AM (PDT) @ Room 318 - 320
A Difference Standardization Method for Mutual Transfer Learning
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Tue Jul 19 07:50 AM -- 07:55 AM (PDT) @ Room 318 - 320
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution
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Tue Jul 19 07:55 AM -- 08:00 AM (PDT) @ Room 318 - 320
A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity
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Tue Jul 19 08:00 AM -- 08:05 AM (PDT) @ Room 318 - 320
Sparse Invariant Risk Minimization
Oral
Tue Jul 19 08:05 AM -- 08:25 AM (PDT) @ Room 318 - 320
Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning
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Tue Jul 19 08:25 AM -- 08:30 AM (PDT) @ Room 318 - 320
A Closer Look at Smoothness in Domain Adversarial Training
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Tue Jul 19 08:30 AM -- 08:35 AM (PDT) @ Room 318 - 320
Balancing Discriminability and Transferability for Source-Free Domain Adaptation
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Tue Jul 19 08:35 AM -- 08:40 AM (PDT) @ Room 318 - 320
Model Agnostic Sample Reweighting for Out-of-Distribution Learning
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Tue Jul 19 08:40 AM -- 08:45 AM (PDT) @ Room 318 - 320
Zero-shot AutoML with Pretrained Models
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Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Room 318 - 320
Efficient Variance Reduction for Meta-learning
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Spotlight
Tue Jul 19 08:50 AM -- 08:55 AM (PDT) @ Room 318 - 320
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder
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Tue Jul 19 08:55 AM -- 09:00 AM (PDT) @ Room 318 - 320
Partial disentanglement for domain adaptation