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PrototypicalContrastive Learning
+tailored+specifically+for+class-incremental+learning+scenarios.+Therefore%252C+we+introduce+a+contrastive+loss+that+incorporates+new+classes+into+the+latent+representation+by+reducing+the+intra-class+distance+and+increasing+the+inter-class+distance.+Our+approach+dynamically+adapts+the+balance+between+the+cross-entropy+and+contrastive+loss+functions+with+a+Bayesian+learning+technique.+Empirical+evaluations+conducted+on+both+the+CIFAR-10+and+CIFAR-100+dataset+for+image+classification+and+images+of+a+GNSS-based+dataset+for+interference+classification+validate+the+efficacy+of+our+method%252C+showcasing+its+superiority+over+existing+state-of-the-art+approaches.&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.477e10e949d05f89925417087f601d44%3frik%3dJVy296gWBvozGw%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Prototypical+Contrastive+Learning&simid=607996490672987590&FORM=IRPRST&ck=6F99F4F67A2479724A671BA88E318E55&selectedIndex=17&itb=0)
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