Papers with Code 아카이브
Information Plane
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
To obtain the Information Plane (IP) of deep neural networks, which shows the trajectories of the hidden layers during training in a 2D plane using as coordinate axes the mutual information between the input and the hidden layer, and the mutual information between the output and the hidden layer.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/erickgalinkin/jhu_masters
공식 코드Malicious Network Traffic Detection via Deep Learning: An Information Theoretic View
https://github.com/keitaroskmt/e2e-info
공식 코드https://github.com/nicolasigor/entropy
공식 코드https://github.com/ravidziv/dual_IB
공식 코드https://github.com/sarvanichinthapalli/hrel
공식 코드HRel: Filter Pruning based on High Relevance between Activation Maps and Class Labels
https://github.com/sjyucnel/cauchy-schwarz-information-bottleneck
공식 코드Cauchy-Schwarz Divergence Information Bottleneck for Regression
https://github.com/JeffersonLab/trackingML
Opening the Black Box of Deep Neural Networks via Information
https://github.com/StephanLorenzen/ExactIBAnalysisInQNNs
Opening the Black Box of Deep Neural Networks via Information
https://github.com/alomrani/IDNNs
Opening the Black Box of Deep Neural Networks via Information
https://github.com/dizcza/EmbedderSDR
Opening the Black Box of Deep Neural Networks via Information
https://github.com/etherandrius/information-networks
Opening the Black Box of Deep Neural Networks via Information
https://github.com/gtegner/mine-pytorch
Opening the Black Box of Deep Neural Networks via Information
https://github.com/hui811116/ib-admm
A Provably Convergent Information Bottleneck Solution via ADMM
https://github.com/ikoloska/M.I.A.
Opening the Black Box of Deep Neural Networks via Information
https://github.com/makezur/information_bottleneck_pytorch
Opening the Black Box of Deep Neural Networks via Information
https://github.com/mrtnoshad/EDGE
Scalable Mutual Information Estimation using Dependence Graphs
https://github.com/ravidziv/IDNNs
Opening the Black Box of Deep Neural Networks via Information
https://github.com/sepehr-rasouli/ITRL
Opening the Black Box of Deep Neural Networks via Information
https://github.com/sepehr-rasouli/PCBS-ITRL
Opening the Black Box of Deep Neural Networks via Information
https://github.com/sichen-x/Fashion-MNIST-NN-Modeling-Plotting
Opening the Black Box of Deep Neural Networks via Information
https://github.com/taolicheng/understanding-dnn
Opening the Black Box of Deep Neural Networks via Information
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.