CP and Tucker decomposition for Convolutional Neural Networks
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Updated
May 6, 2018 - Python
CP and Tucker decomposition for Convolutional Neural Networks
MUSCO: MUlti-Stage COmpression of neural networks
Compression of NMT transformer model with tensor methods
An implementation of various tensor-based decomposition for NN & RNN parameters
An implementation of various tensor-based decomposition for NN & RNN parameters
Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks, IEEE Access
MUSCO: Multi-Stage COmpression of neural networks
Implementation of TuckERT [Shao,Yang,Zhang et al.] [arXiv:2011.07751] [2020]
Codes of the paper HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression
Codes of the paper MiSC: Mixed Strategies Crowdsourcing.
8. Latentna struktura PCA, sparse PCA, ICA, NMF, FA (factor analysis), SVD, truncated SVD, CCA, PLS (kao veza blokova), CP/PARAFAC, Tucker, tensor train, LDA/topic models, LSA, embedding struktura (samo kao mapa sličnosti)
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