Implementation of Particle Swarm Optimization (PSO) for Multi-Agent Pathfinding (MAPF).

Test Functions for Multi-Objective Optimization

Domain-general enhancements of metacognitive ability through adaptive training

This is a repository associated with the paper "An adaptive sampling and domain learning strategy for multivariate function approximation on unknown domains" by Ben Adcock, Juan M. Cardenas, and Ni…

Dual-Level Adaptive and Discriminative Knowledge Transfer for Cross-Domain Recognition

This repository introduces an efficient surrogate model with the aim of accelerating joint estimation of subsurface geological properties and relative permeability parameters for high-dimensional i…

Transfer Learning Toolkit for Primary Researchers

Wrappers and implementations of several domain adaptation / transfer learning / semi-supervised learning algorithms

Online Semi-supervised Learning + Online Heterogeneous Transfer Learning

Code for various active transfer learning projects.

Repository for our paper "Zero-Shot Learning Through Cross-Modal Transfer" from NIPS 2013.

A Unified Framework for Metric Transfer Learning

Kernelized Bayesian Transfer Learning

Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy

Relational Knowledge Transfer For Zero-Shot Learning

Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization

Used as transfer learning deep learning toolbox for matlab

code for paper "Learning and Transferring Deep Joint Spectral-Spatial Features for Hyperspectral Classification"

The code of Transfer Learning with Deep Manifold Regularized Auto-encoders

Multi-task feature learning

Code for experiments in paper "The Benefit of Multitask Representation Learning"

code for the paper "Online Multitask Relative Similarity Learning"

Multiplicative Multitask Feature Learning

Matlab MultiClass MultiTask Learning (MCMTL) toolbox. Partitions multiclass, multitask labeled data into one-vs-one or one-vs-rest multitask classification problems.

multitask experiment

Behavioural data and modelling code from multitask learning psychology experiment

Implementation of some multitask learning algorithms. More coming.

This is the code for our work: On Better Exploring and Exploiting Task Relationships in Multitask Learning: Joint Model and Feature Learning. The code is based on MTL https://ttic.uchicago.edu/~arg…