LEARNING DEVICE, ESTIMATION DEVICE, LEARNING METHOD, ESTIMATION METHOD, AND PROGRAM

• Main Authors: AIZAWA KIYOHARU, IGAMI DAIKI, IRIE TAKESHI
• Format: Patent
• Language: English; Japanese
• Published: 15.02.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; PHYSICS

To provide a technology capable of learning a highly accurate and effective feature even in the case of including an erroneous teacher label in a data group for learning.SOLUTION: A learning device according to an embodiment includes: a feature extraction unit for extracting a feature of data of a learning object included in a data group for learning given as a set of data for learning including a pair of data of a learning object and a teacher label showing similarity between the data of a learning object and another data by using a feature extractor generated in advance; and an update unit for acquiring a value of a loss function on the basis of a feature of the data of learning object and the teacher label related to the feature, and updating a parameter of the feature extractor so as to make an evaluation value based on the value of the loss function small.SELECTED DRAWING: Figure 1 【課題】学習用データ群に誤った教師ラベルが含まれている場合であっても、精度の高い有効な特徴を学習することを可能にする技術を提供すること。【解決手段】実施形態の学習装置は、学習対象のデータと、前記学習対象のデータと他のデータとの類似性を示す教師ラベルとの組を含む学習用データの集合として与えられる学習用データ群に関し、前記学習用データ群に含まれる学習対象のデータの特徴を、予め生成されている特徴抽出器を用いて抽出する特徴抽出部と、前記学習対象のデータの特徴と、前記特徴に係る教師ラベルとに基づいて損失関数の値を求め、前記損失関数の値に基づく評価値が小さくなるように前記特徴抽出器のパラメータを更新する更新部と、を備える。【選択図】図１