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08/31/2023
Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff
This paper addresses the tradeoff between standard accuracy on clean exa...
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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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07/21/2022
Switching One-Versus-the-Rest Loss to Increase the Margin of Logits for Adversarial Robustness
Defending deep neural networks against adversarial examples is a key cha...
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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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04/28/2022
Covariance-aware Feature Alignment with Pre-computed Source Statistics for Test-time Adaptation
The accuracy of deep neural networks is degraded when the distribution o...
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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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02/09/2022
Learning Robust Convolutional Neural Networks with Relevant Feature Focusing via Explanations
Existing image recognition techniques based on convolutional neural netw...
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06/17/2021
Pruning Randomly Initialized Neural Networks with Iterative Randomization
Pruning the weights of randomly initialized neural networks plays an imp...
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06/04/2021
F-Drop Match: GANs with a Dead Zone in the High-Frequency Domain
Generative adversarial networks built from deep convolutional neural net...
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10/06/2020
Constraining Logits by Bounded Function for Adversarial Robustness
We propose a method for improving adversarial robustness by addition of ...
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12/25/2019
Multiple Pretext-Task for Self-Supervised Learning via Mixing Multiple Image Transformations
Self-supervised learning is one of the most promising approaches to lear...
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12/25/2019