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Found 4 papers, 1 papers with code
Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition
It's widely acknowledged that deep learning models with flatter minima in its loss landscape tend to generalize better.
Homoscatter: Towards efficient connectivity for ZigBee backscatter system
To address the problems mentioned above, we introduce Homoscatter, a novel ZigBee backscatter system that adopts specific ZigBee devices to generate a single tone and leverages continuous phase change to modulate information, which eliminates spectral leakage.
Bayesian Convolutional Neural Networks for Seven Basic Facial Expression Classifications
The seven basic facial expression classifications are a basic way to express complex human emotions and are an important part of artificial intelligence research.
Aesthetics, Personalization and Recommendation: A survey on Deep Learning in Fashion
For that the survey also highlights remarkable models like tensor factorization model, conditional random field model among others to cater the need to acknowledge aesthetics as an important factor in Apparel recommendation. These AI inspired deep models can pinpoint exactly which certain style resonates best with their customers and they can have an understanding of how the new designs will set in with the community.
