OpenAgentSkill Registry Manifest
Skill: Deep Learning Dynamics Paper List
Slug: xie-lab-ml-deep-learning-dynamics-paper-list
Category: ml-automation
Description: This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success of deep learning attributes to both network architecture and stochastic optimization. Thus, deep learning dynamics play an essentially important role in theoretical foundation of deep learning.

Agent fit:
- Decision: 41/100 Needs manual review
- Primary fit: Coding agents
- Role: Needs validation

Supply profile:
- Track: Coding and developer agents
- Scenario: Coding agents
- Applicable agents: Claude Code, CLI, Codex, Cursor, Machine Learning
- Maintenance: 2y since push
- Risk: Needs review

Trust:
- Trust score: 72/100 Strong shortlist
- Audit: 64/100 Needs review

Attribution:
- Status: Community indexed
- Source: GitHub star discovery
- Creator: xie-lab-ml
- Claim URL: https://www.openagentskill.com/skills/xie-lab-ml-deep-learning-dynamics-paper-list#claim-this-skill

Install:
npx skills add xie-lab-ml/deep-learning-dynamics-paper-list

URLs:
- Web: https://www.openagentskill.com/skills/xie-lab-ml-deep-learning-dynamics-paper-list
- API: https://www.openagentskill.com/api/agent/skills/xie-lab-ml-deep-learning-dynamics-paper-list
- Install API: https://www.openagentskill.com/api/skills/xie-lab-ml-deep-learning-dynamics-paper-list/install
- Repository: https://github.com/xie-lab-ml/deep-learning-dynamics-paper-list