xwcao / LowRankTRNLinks
Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"
☆35Updated 7 years ago
Alternatives and similar repositories for LowRankTRN
Users that are interested in LowRankTRN are comparing it to the libraries listed below
Sorting:
- ☆103Updated 7 years ago
- CP and Tucker decomposition for Convolutional Neural Networks☆84Updated 7 years ago
- supervised deep sparse coding networks☆31Updated 8 years ago
- (ICCV'17) When Unsupervised Domain Adaptation Meets Tensor Representations☆59Updated 7 years ago
- GitHub repository for "Building Deep Networks on Grassmann Manifolds", AAAI 2018.☆26Updated 4 years ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆42Updated 7 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆71Updated 7 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Updated 6 years ago
- Code for our NeurIPS 2018 paper titled "Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch"☆24Updated 2 years ago
- [ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"☆152Updated 3 years ago
- Implementation of Deep Linear Discriminant Analysis (DeepLDA)☆48Updated 9 years ago
- Training Neural Networks Without Gradients: A ADMM Approach☆43Updated 7 years ago
- Implementation of learning a Gaussian mixture model using tensor decomposition.☆15Updated 8 years ago
- Uncertainty Autoencoders, AISTATS 2019☆55Updated 6 years ago
- A Matlab implementation of the capsule networks (or capsnet).☆48Updated 7 years ago
- Code for the paper "Tensorizing Generative Adversarial Nets"☆15Updated 7 years ago
- PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.☆284Updated 3 years ago
- Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.☆13Updated 9 years ago
- MatConvNet: CNNs for MATLAB☆51Updated 8 years ago
- Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015☆36Updated 7 years ago
- Pytorch implementation of contractive autoencoder on MNIST dataset☆53Updated 7 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 8 years ago
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Updated 5 years ago
- Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.☆38Updated 3 years ago
- Implementation of Ladder Network in PyTorch.☆45Updated 7 years ago
- Deep Transfer Learning Papers☆80Updated 3 years ago
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆44Updated 10 years ago
- Exploring CNNs and model quantization on Caltech-256 dataset☆84Updated 7 years ago
- [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch☆163Updated 7 years ago
- Combined Group and Exclusive Sparsity for Deep Neural Networks, ICML 2017☆31Updated 7 years ago