画像分類における1最近傍分類器の強力な頑健性

신경망-분류기의-적대적-훈련과-1-최근접-이웃-분류기의-성능-비교

robustheit-des-1-nächste-nachbarn-klassifikators-gegenüber-kleinen-bildstörungen

evaluating-reasoning-abilities-of-retrieval-models-reasoning-as-retrieval-benchmark-rar-b-

動的d2d支援連邦学習のo-ran上での性能分析-macスケジューラ-非対称ユーザ選択

동적-d2d-지원-o-ran-연합-학습-성능-분석-mac-스케줄러-및-비대칭-사용자-선택

comprehensive-benchmark-for-evaluating-causal-learning-capabilities-of-large-language-models

dynamische-d2d-unterstützte-föderierte-lernen-über-o-ran-leistungsanalyse-mac-scheduler-und-asymmetrische-benutzerauswahl


The author proposes learning on the correct class as a strategy to address the ill-posed inverse gravimetry problem, ensuring reliable solutions within specific constraints.


coremsg

learning-on-the-correct-class-for-domain-inverse-problems-of-gravimetry


Learning on the Correct Class for Domain Inverse Problems of Gravimetry


title_rewrite

Inverse Gravimetry Learning Strategies