https://github.com/birkhoffkiki/gpfm
Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation
Papers with Code 아카이브
Self-Knowledge Distillation
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/davidpengucf/RAIN
RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation
https://github.com/huutuongtu/skd-ctc
Guiding Frame-Level CTC Alignments Using Self-knowledge Distillation
https://github.com/kiyoon/pyvideoai
ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks
https://github.com/terrierteam/pyterrier_dr
https://github.com/thejungwon/gc-fed
Preservation of the Global Knowledge by Not-True Distillation in Federated Learning
https://github.com/xinshaoamoswang/proselflc-at
ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks
https://github.com/yoshitomo-matsubara/torchdistill
Revisiting Knowledge Distillation via Label Smoothing Regularization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.