Research map / Learning theory and algorithms / Prediction and decision losses
Local Redundancy: An Information-Theoretic Measure of Plasticity from Synthetic Memorization
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
- Self-Normalized Resets for Plasticity in Continual Learning (ICLR 2025 · similarity 0.88)
- DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity (NeurIPS 2024 · similarity 0.87)
- Re-evaluating Continual Learning with Few-Shot Adaptation (NeurIPS 2026 · similarity 0.86)
- Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective (ICML 2025 · similarity 0.86)
- The Importance of Being Lazy: Scaling Limits of Continual Learning (ICML 2025 · similarity 0.86)
- PaLoRA: Paced Low-Rank Adaptation for Continual Learning (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.