task-relevant information
Task-relevant information comprises the essential features and data points within a dataset that directly contribute to the performance of a machine learning model on a specific task, impacting both training efficacy and model interpretability.
- 3DLLM-Mem: Long-Term Spatial-Temporal Memory for Embodied 3D Large Language Model
- Balancing Multimodal Training Through Game-Theoretic Regularization
- Dataset Distillation of 3D Point Clouds via Distribution Matching
- Don't Just Chase “Highlighted Tokens” in MLLMs: Revisiting Visual Holistic Context Retention
- Latent Space Factorization in LoRA
- Mixture-of-Experts Meets In-Context Reinforcement Learning
- Quantifying Task-relevant Similarities in Representations Using Decision Variable Correlations