GWLee0524 / AMTL
Asymmetric Multi-Task Learning code, If you want to use it, please let me know and cite AMTL paper
☆10Updated 8 years ago
Alternatives and similar repositories for AMTL:
Users that are interested in AMTL are comparing it to the libraries listed below
- Tensorflow implementation of Deep Asymmetric Multi-task Feature Learning (ICML2018)☆14Updated 6 years ago
- Multi-task feature learning☆15Updated 6 years ago
- Wasserstein Based Domain Adaptation Model☆46Updated 6 years ago
- Variable Selection and Task Grouping for Multi-Task Learning (VSTG-MTL)☆13Updated 5 years ago
- Notes and tutorials on "Mutual information and self-supervised learning"☆39Updated 5 years ago
- Implementation of Deep Linear Discriminant Analysis (DeepLDA)☆48Updated 8 years ago
- ☆13Updated 7 years ago
- Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks☆11Updated 4 years ago
- Materials for implementing and reproducing results in the NIPS paper.☆23Updated 10 years ago
- Package to apply MTL on a few dataset☆26Updated 7 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆71Updated 7 years ago
- A Wasserstein Subsequence Kernel for Time Series.☆21Updated 7 months ago
- An implementation of Deep Canonical Correlation Analysis (DCCA) in Keras with tf backend.☆18Updated 6 years ago
- Implementation of Deep Soft-K means☆28Updated 3 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 3 years ago
- Multi Task Learning Package for Matlab☆21Updated 5 years ago
- An implementation of Deep Linear Discriminant Analysis (DeepLDA) in Keras☆41Updated 6 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 7 years ago
- Chainer implementation of deep-INFOMAX☆34Updated 6 years ago
- ICLR 2021 (spotlight): Graph Convolution with Low-rank Learnable Local Filters☆15Updated 4 years ago
- Various SVM based methods for domain adaptation☆10Updated 9 years ago
- Variational Information Bottleneck☆16Updated 6 years ago
- Greedy Adaptive Dictionary (GAD) is a learning algorithm that sets out to find sparse atoms for speech signals.☆11Updated 6 years ago
- Selection Distribution Generator for Domain Adaptation☆27Updated 5 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
- Demonising Adversarial Auto-encoder in PyTorch☆24Updated 6 years ago
- Code for paper by Bamler & Mandt, "Extreme Classification via Adversarial Softmax Approximation" (ICLR 2020)☆14Updated 4 years ago
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 3 years ago
- Co-regularized Non-negative Matrix Factorization☆19Updated 7 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 4 years ago