https://github.com/MehdiZouitine/Learning-Disentangled-Representations-via-Mutual-Information-Estimation
Learning Disentangled Representations via Mutual Information Estimation
Papers with Code 아카이브
Mutual Information Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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To estimate mutual information from samples, specially for high-dimensional variables.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/YuvalShalev/NJEE
https://github.com/alexandreguichet/MFS
Estimating Mutual Information for Discrete-Continuous Mixtures
https://github.com/benrhodes26/tre_code
https://github.com/bojone/infomax
Learning deep representations by mutual information estimation and maximization
https://github.com/chaeger/upper_capacity_bounds
Deep Learning for Channel Coding via Neural Mutual Information Estimation
https://github.com/createamind/DIM_Commented
Learning deep representations by mutual information estimation and maximization
https://github.com/hoemr/dequantified-diffusion-bridge-density-ratio-estimation
https://github.com/ifding/simple-Infomax-pytorch
Learning deep representations by mutual information estimation and maximization
https://github.com/jqhoogland/rgpy
Learning deep representations by mutual information estimation and maximization
https://github.com/mrtnoshad/EDGE
Scalable Mutual Information Estimation using Dependence Graphs
https://github.com/schzhu/learning-adversarially-robust-representations
Learning deep representations by mutual information estimation and maximization
https://github.com/sudiptodip15/ccmi
CCMI : Classifier based Conditional Mutual Information Estimation
https://github.com/zpeng27/GMI
Graph Representation Learning via Graphical Mutual Information Maximization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.