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ActiveLearning AcquisitionFunctions
+framework%252C+to+advance+the+sampling+selection+process+in+extremely+budget+constrained+classification+tasks.+The+focus+on+image+datasets%252C+known+for+their+out-of-distribution+characteristics%252C+adds+a+layer+of+complexity+and+relevance+to+our+study.+Through+a+detailed+evaluation%252C+we+illustrate+the+improved+AL+performance+on+these+challenging+datasets%252C+highlighting+the+strategic+advantage+of+merging+parameter+efficient+fine+tuning+methods+with+foundation+models.+This+contributes+to+the+broader+discourse+on+optimizing+AL+strategies%252C+presenting+a+promising+avenue+for+future+exploration+in+leveraging+foundation+models+for+efficient+and+effective+data+annotation+in+specialized+domains.&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.8d16160d3b3aad5916cd93170a152994%3frik%3d7%252f2csaseLAX1Gg%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Active+Learning+Acquisition+Functions&FORM=IRPRST&ck=7CD5B05BA5097C17DE28177906CF98A8&selectedIndex=31&itb=0)
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