Data-free Knowledge Distillation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 2
- 보존된 평가 기록
- 8
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zju-vipa/KamalEngine
https://github.com/zju-vipa/cmi
Contrastive Model Inversion for Data-Free Knowledge Distillation
https://github.com/zjukg/umaea
Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment
https://github.com/zml72062/dr-fwl-2
https://github.com/zoj613/pyloras
A multi-schematic classifier-independent oversampling approach for imbalanced datasets
https://github.com/zqcrafts/Labserve
https://github.com/zsk66/flame
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
https://github.com/zz10001/LITS2017-main1
https://github.com/zzq96/mmdetection
https://github.com/zzy-zhou/renet
Event-Free Moving Object Segmentation from Moving Ego Vehicle
https://github.com/zzzace2000/mimic-preprocess
Multitask learning and benchmarking with clinical time series data
https://github.com/zzzweakman/cvpr24_frcsyn_admis
https://gitlab.com/mia_jinns/pinn-multi-library-benchmark
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
https://gitlab.com/secml/secml
Technical Report on the CleverHans v2.1.0 Adversarial Examples Library
https://huggingface.co/julianzy/CheckGPT
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.