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07/26/2023
Regularizing Neural Networks with Meta-Learning Generative Models
This paper investigates methods for improving generative data augmentati...
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06/09/2023
Revisiting Permutation Symmetry for Merging Models between Different Datasets
Model merging is a new approach to creating a new model by combining the...
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05/23/2023
Transferring Learning Trajectories of Neural Networks
Training deep neural networks (DNNs) is computationally expensive, which...
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05/31/2022
Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks
Few-shot learning for neural networks (NNs) is an important problem that...
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04/27/2022
Transfer Learning with Pre-trained Conditional Generative Models
Transfer learning is crucial in training deep neural networks on new tar...
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06/17/2021