scientific-multi-task-learning
CommunityMulti-task learning with shared representations.
Authornahisaho
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Efficiently train and generalize across multiple related prediction tasks by learning a shared representation and task-specific heads, reducing data requirements and improving sample efficiency.
Core Features & Use Cases
- Hard/Soft Parameter Sharing, GradNorm gradient normalization, PCGrad gradient projection
- Task balancing and auxiliary task design for robust multi-task training
- OpenML integration for diverse multitask datasets
Quick Start
Train a shared encoder with task-specific heads to jointly optimize multiple tasks.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: scientific-multi-task-learning Download link: https://github.com/nahisaho/satori/archive/main.zip#scientific-multi-task-learning Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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