Online Continual Learning via Logit Adjusted Softmax
This paper theoretically analyzes that inter-class imbalance is entirely attributed to imbalanced class-priors, and the function learned from intra-class intrinsic distributions is the Bayes-optimal classifier, and presents that a simple adjustment of model logits during training can effectively resist prior class bias and pursue the corresponding Baye-optimum.
May 29, 2024
Query Attack by Multi-Identity Surrogates
QueryNet is a attack framework that reduces queries by averagely about an order of magnitude compared to alternatives within an acceptable time, according to comprehensive experiments 11 victims on MNIST/CIFAR10/ImageNet, allowing only 8-bit image queries, and no access to the victim’s training data.
Mar 12, 2023
Low Dimensional Trajectory Hypothesis is True: DNNs Can Be Trained in Tiny Subspaces
This paper develops an efficient quasi-Newton-based algorithm, obtains robustness to label noise, and improves the performance of well-trained models, which are three follow-up experiments that can show the advantages of finding such low-dimensional subspaces.
May 26, 2022
An example journal article
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Sep 1, 2015