Dirichlet-Prior Shaping Loss (DPSL)

Newer alternatives

Recent methods in the same sub-problem, not yet superseded in the knowledge base.

• MetaMoEMetaMoE: Diversity-Aware Proxy Selection for Privacy-Preserving Mixture-of-Experts Unification
  May 14, 2026
• BARTrain Separately, Merge Together: Modular Post-Training with Mixture-of-Experts
  Apr 20, 2026
• BERT-MoE FrameworkAspect-Based Sentiment Analysis for Future Tourism Experiences: A BERT-MoE Framework for Persian User Reviews
  Feb 13, 2026
• null experts within token-choice MoEImproving MoE Compute Efficiency by Composing Weight and Data Sparsity
  Jan 21, 2026
• MixtureKitMixtureKit: A General Framework for Composing, Training, and Visualizing Mixture-of-Experts Models
  Dec 13, 2025
• ERMoEERMoE: Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization
  Nov 14, 2025
• Dirichlet-Prior Shaping Loss (DPSL)Dirichlet-Prior Shaping: Guiding Expert Specialization in Upcycled MoEs
  Oct 1, 2025
• Symphony-MoESymphony-MoE: Harmonizing Disparate Pre-trained Models into a Coherent Mixture-of-Experts
  Sep 23, 2025