Novel membership inference attacks that leverage the Gaussian neighborhood of a DNN's training data to improve performance.
π https://t.co/JDR21TjJC3
A new weakly supervised learning framework for knowledge distillation in video classification that is designed to improve the efficiency and accuracy of the
π https://t.co/yAU3qtKiHH
A simple linear regression based approach for learning the weights and biases of a neural network, as an alternative to standard gradient-based back
π https://t.co/iV3HSgk59D
A generative model that can generate multiple samples of any synthetic identity in state-of-the-art pretrained GAN latent spaces
π https://t.co/HbsT6BmZJk
Two machine-learning algorithms for selecting events where neutrallong-lived particles decay within the detector volume studying their accuracy and inference time when
π https://t.co/N0nly8indn
This is an overview of the eleventh edition of the BioASQ challenge in the fixmecontext of the Conference and Labs of the Evaluation Forum (
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SSL can be used in spontaneous TTS and MOS prediction to further quantify and understand how SSL can beused in spontaneous speech.
π https://t.co/xpB33KFdGm
A new metric based on prompt templates to study the alignment between the content specified in the prompt and the corresponding generatedFINESTimages.
π https://t.co/JomHuG5LQQ
Unsupervised sensing algorithms and 3D Augmented Reality visualization for real-time, automatic solar panel detection andrepair .
π https://t.co/kbc0ndEYnV