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• A clear formulation relates to the current settings of extracted CDRP models (pre)
  • The feasibility constraints for a candidate assembly (pre)
  • The accuracy metrics (pre)
  • The complexity metrics (pre)
• An algorithm that solves the problems (pre)
• Algorithm implementation
• Assembled model evaluation

• Update proposal (pre)
• Paper writing
  • Introduction
  • CDRP Decomposition and Clustering (pre-reuse)
  • CDRP Model Assembly (pre-reuse)
  • Implementation
    • Analysis
  • Related Work
• Presentation Slides (pre)
  • CDRP Decomposition and Clustering
  • CDRP Model Assembly
  • Decomposition and Clustering Results
    • Analysis
  • Work in Progress

• Possible improvement on the filter pruning using the filter clustering in the CAPTOR
• Model analysis with CDRP clustering
  • Internal mistake analysis
  • Boundary analysis with external dataset

• Compute CDRPs for VGG-16 on multiple datasets (CIFAR-100 + ?) to extract Lambda vectors
  • Find another proper dataset that partially shares some labels
• Run clustering on CDRPs based on Lambda vectors to obtain clusters (the covering set in stage 2)
• Extract CDRP models for cluster centroids
• Sanity check and analysis on clustered CDRP models
• Perform the same operations on another model
  • Find another model developed on the second dataset

Everything in this stage should be accomplished before the presentation