Skip to main content

A curated list of papers and resources about the distribution shift in machine learning.

128
GitHub Stars
202
Curated Resources
8
Categories
12 hours ago
Last Refreshed
BenchmarkGeneralizationData ModalityDecentralized (Federated)DetectionFairnessRobustnessLearning Strategy

Use this list with your AI agent

Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:

"Show me time series resources from awesome-distribution-shift"

Installation instructions →

What's inside

Data Modality

Generalization

  • [paper]Domain Generalization & Out-of-distribution Robustness

  • [paper]Domain Generalization & Out-of-distribution Robustness

  • [paper]Domain Generalization & Out-of-distribution Robustness

  • [paper]Domain Generalization & Out-of-distribution Robustness

  • [paper]Domain Generalization & Out-of-distribution Robustness

  • [paper]Domain Generalization & Out-of-distribution Robustness

Showing a sample of 202 resources. View the full list on GitHub →