haipinglu / MultilinearPCALinks
MPCA: Multilinear Principal Component Analysis of Tensor Data
☆17Updated 7 years ago
Alternatives and similar repositories for MultilinearPCA
Users that are interested in MultilinearPCA are comparing it to the libraries listed below
Sorting:
- CUDA extension for the SPORCO project☆18Updated 4 years ago
- supervised deep sparse coding networks☆31Updated 8 years ago
- ☆15Updated 8 years ago
- Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks☆30Updated 3 years ago
- The code for Differentiable Linearized ADMM (ICML 2019)☆36Updated 6 years ago
- Code of Fair PCA algorithm introduced in the paper "The Price of Fair PCA: One Extra Dimension"☆28Updated 2 years ago
- ☆53Updated 7 years ago
- Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.☆38Updated 3 years ago
- Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"☆35Updated 7 years ago
- PyTorch and Torch implementation for our accepted CVPR 2020 paper (Oral): Controllable Orthogonalization in Training DNNs☆25Updated 4 years ago
- Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018☆24Updated 7 years ago
- DeepNCM: Deep Nearest Class Mean Classifiers☆13Updated 6 years ago
- Uncertainty Autoencoders, AISTATS 2019☆56Updated 6 years ago
- MatConvNet: CNNs for MATLAB☆51Updated 8 years ago
- Pytorch implementation of Group Equivariant Capsule Networks☆29Updated 6 years ago
- Code for the paper "Curriculum Dropout", ICCV 2017☆26Updated 7 years ago
- Riemannian approach to batch normalization☆22Updated 8 years ago
- Contains tools for generalized Procrustes analysis, active shape models and shape-based image warping☆10Updated 11 years ago
- Experimental implementation for a sparse-dictionary based version of the VQ-VAE2 paper☆34Updated 2 years ago
- Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning, AAAI-SA'19☆29Updated 6 years ago
- Code for the article "Learning to solve inverse problems using Wasserstein loss"☆28Updated 8 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆66Updated 2 years ago
- ☆41Updated 4 years ago
- Domain Agnostic Normalization layer for Unsupervised Domain Adaptation☆11Updated 2 years ago
- Augmented Sliced Wasserstein Distances☆10Updated 5 months ago
- repo for "Decision explanation and feature importance for invertible networks"☆14Updated 6 years ago
- Training Neural Networks Without Gradients: A Scalable ADMM Approach python implement☆15Updated 8 years ago
- Experiments for ICML paper DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding, ICML 2018, T. Moreau, L. …☆12Updated 6 years ago
- Pytorch package for geometric softmax☆12Updated 6 years ago
- Coarse-to-Fine Curriculum Learning☆20Updated 5 years ago