전체 태스크 Few-Shot Learning
Papers with Code 아카이브
Few-Shot Learning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
하위 태스크 12
평가표 27
보존된 평가 기록 52
Few-Shot Learning is an example of meta-learning, where a learner is trained on several related tasks, during the meta-training phase, so that it can generalize well to unseen (but related) tasks with just few examples, during the meta-testing phase. An effective approach to the Few-Shot Learning problem is to learn a common representation for various tasks and train task specific classifiers on top of this representation.
Source: Penalty Method for Inversion-Free Deep Bilevel Optimization
하위 태스크 논문 코드 평가 결과 기법 데이터셋
평가 결과
데이터셋과 평가 조건을 선택해 성능·논문·코드를 비교하세요. 보존된 Papers with Code 기록으로, 최신 순위는 아닙니다.
원본 태스크: Few-Shot Learning / Few-Shot Semantic Segmentation
평가 기록 105건
원본 태스크: Few-Shot Learning / Few-Shot Semantic Segmentation
평가 기록 96건
원본 태스크: Few-Shot Learning / Few-Shot Semantic Segmentation
평가 기록 85건
원본 태스크: Few-Shot Learning / Few-Shot Semantic Segmentation
평가 기록 81건
원본 태스크: Few-Shot Learning / Few-Shot Semantic Segmentation
평가 기록 24건
원본 태스크: Few-Shot Learning / Few-Shot Semantic Segmentation
평가 기록 22건
원본 태스크: Few-Shot Learning / Few-Shot Semantic Segmentation
평가 기록 13건
원본 태스크: Few-Shot Learning / Few-Shot Semantic Segmentation
평가 기록 12건
원본 태스크: Few-Shot Learning
평가 기록 12건
원본 태스크: Few-Shot Learning / Cross-Domain Few-Shot
평가 기록 11건
원본 태스크: Few-Shot Learning / Cross-Domain Few-Shot
평가 기록 11건
원본 태스크: Few-Shot Learning / Cross-Domain Few-Shot
평가 기록 11건
원본 태스크: Few-Shot Learning / Few-Shot Audio Classification
평가 기록 10건
원본 태스크: Few-Shot Learning / Few-Shot Audio Classification
평가 기록 10건
원본 태스크: Few-Shot Learning / Few-Shot Audio Classification
평가 기록 10건
원본 태스크: Few-Shot Learning / Few-Shot Audio Classification
평가 기록 10건
원본 태스크: Few-Shot Learning / Few-Shot Audio Classification
평가 기록 10건
원본 태스크: Few-Shot Learning / Cross-Domain Few-Shot
평가 기록 9건
원본 태스크: Few-Shot Learning / Cross-Domain Few-Shot
평가 기록 9건
원본 태스크: Few-Shot Learning / Cross-Domain Few-Shot
평가 기록 8건
원본 태스크: Few-Shot Learning / Cross-Domain Few-Shot
평가 기록 8건
원본 태스크: Few-Shot Learning / Cross-Domain Few-Shot
평가 기록 8건
원본 태스크: Few-Shot Learning / Few-Shot Semantic Segmentation / Generalized Few-Shot Semantic Segmentation
평가 기록 6건
원본 태스크: Few-Shot Learning / Few-Shot Semantic Segmentation
평가 기록 6건
원본 태스크: Few-Shot Learning / Few-Shot Semantic Segmentation / Generalized Few-Shot Semantic Segmentation
평가 기록 6건
원본 태스크: Few-Shot Learning / Few-Shot Semantic Segmentation / Generalized Few-Shot Semantic Segmentation
평가 기록 5건
원본 태스크: Few-Shot Learning / Few-Shot Semantic Segmentation / Generalized Few-Shot Semantic Segmentation
평가 기록 5건
원본 태스크: Few-Shot Learning / Few-Shot Audio Classification
평가 기록 5건
원본 태스크: Few-Shot Learning / Few-Shot Semantic Segmentation
평가 기록 4건
원본 태스크: Few-Shot Learning
평가 기록 4건
원본 태스크: Few-Shot Learning
평가 기록 4건
원본 태스크: Few-Shot Learning / Few-Shot Semantic Segmentation
평가 기록 4건
원본 태스크: Few-Shot Learning / Few-Shot Audio Classification
평가 기록 3건
원본 태스크: Few-Shot Learning / Few-Shot Audio Classification
평가 기록 3건
원본 태스크: Few-Shot Learning / Few-Shot Semantic Segmentation
평가 기록 3건
원본 태스크: Few-Shot Learning
평가 기록 3건
출처: Papers with Code · CC BY-SA 4.0 . 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.