Research map / Architectures and efficiency / Pruning and efficient tuning
Adaptive-Learngene: Continual Expansion and Task-Aware Selection of Learngenes for Dynamic Environments
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers (NeurIPS 2024 · similarity 0.90)
- Vision Transformers as Probabilistic Expansion from Learngene (ICML 2024 · similarity 0.90)
- Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation (NeurIPS 2024 · similarity 0.89)
- Transformer as Linear Expansion of Learngene (AAAI 2024 · similarity 0.88)
- Linearly Decomposing and Recomposing Vision Transformers for Diverse-Scale Models (NeurIPS 2024 · similarity 0.88)
- C-LoRA: Continual Low-Rank Adaptation for Pre-trained Visual Models (NeurIPS 2026 · similarity 0.86)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.