Multi-task learning via Structural Regularization
☆137Feb 12, 2021Updated 5 years ago
Alternatives and similar repositories for MALSAR
Users that are interested in MALSAR are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Multi Task Learning Package for Matlab☆21Aug 18, 2019Updated 6 years ago
- Package to apply MTL on a few dataset☆26Jan 31, 2017Updated 9 years ago
- Regularized Multi-task Learning in R☆19Jun 13, 2026Updated 2 weeks ago
- Variable Selection and Task Grouping for Multi-Task Learning (VSTG-MTL)☆13Jan 21, 2020Updated 6 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆57Jul 4, 2017Updated 8 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Multi-task feature learning☆15Jun 17, 2018Updated 8 years ago
- Multi-task learning framework (see Jayaram et al. 2016) written in MATLAB. Python version is in pyMTL☆14Jul 14, 2017Updated 8 years ago
- IMTSL - Incremental and Multi-feature Tensor Subspace Learning☆36Mar 12, 2021Updated 5 years ago
- Web based semantic visualization tool☆12Feb 16, 2017Updated 9 years ago
- Low-rank Highway Networks☆13Mar 11, 2016Updated 10 years ago
- ☆13Jul 3, 2016Updated 9 years ago
- Code for Joint Multi-Modal Longitudinal Regression and Classification☆18Mar 18, 2021Updated 5 years ago
- Bayesian Multitask Multiple Kernel Learning☆18Mar 17, 2018Updated 8 years ago
- A MATLAB/OCTAVE library for Multi-Label Classification☆37Dec 4, 2018Updated 7 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- PyTorch implementation for "Gradient Surgery for Multi-Task Learning" https://arxiv.org/abs/2001.06782☆14Jul 6, 2020Updated 5 years ago
- To support the Alzheimer's Disease challenge hackathon at Py Con UK 2017☆12Nov 2, 2017Updated 8 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆72Dec 21, 2017Updated 8 years ago
- Structured Machine Learning in Python☆46Apr 14, 2023Updated 3 years ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆42May 29, 2018Updated 8 years ago
- Implementation of Frequent-Directions algorithm for efficient matrix sketching [E. Liberty, SIGKDD2013]☆27Apr 19, 2015Updated 11 years ago
- A list of multi-task machine learning papers.☆37Nov 4, 2018Updated 7 years ago
- Robust Principal Component Analysis☆10Apr 1, 2014Updated 12 years ago
- Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning☆17Feb 25, 2020Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Visualizing nonconvex constraints in OPF problem☆17Dec 11, 2019Updated 6 years ago
- Code for Robust Kronecker-Decomposable Component Analysis (ICCV 2017)☆13Sep 28, 2022Updated 3 years ago
- PLS regression algorithm☆11Jun 7, 2026Updated 3 weeks ago
- Kernel Methods Toolbox for Matlab/Octave☆52Jun 14, 2019Updated 7 years ago
- MATLAB Tensor Tools☆89Nov 14, 2025Updated 7 months ago
- ☆11Mar 31, 2021Updated 5 years ago
- A Multi-Kernel domain adaptation method for unsupervised transfer learning on cross-source and cross-region remote sensing data classifi…☆12Dec 3, 2019Updated 6 years ago
- Deep Learning Dashboard☆39Sep 4, 2016Updated 9 years ago
- Dual Augmented Lagrangian (DAL) algorithm for sparse/low-rank reconstruction and learning☆34Sep 18, 2015Updated 10 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Non-Parametric Calibration for Classification (AISTATS 2020)☆19Feb 3, 2022Updated 4 years ago
- The dataset used in COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19☆12Nov 22, 2022Updated 3 years ago
- A PyTorch implementation for fine-tuning AlexNet on Office dataset☆10Sep 10, 2022Updated 3 years ago
- MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3☆56Nov 20, 2018Updated 7 years ago
- Sparsely-Labeled Source Assisted Domain Adaptation☆12May 2, 2020Updated 6 years ago
- Professor Forcing, NIPS'16☆45Apr 3, 2017Updated 9 years ago
- PSVM: Parallelizing Support Vector Machines on Distributed Computers☆15Apr 8, 2016Updated 10 years ago