DLC: A Metric-Guided Dynamic Loss Controller for Multi-Objective Training

arXiv:2610.11433 · cs.CV · Submitted 2026-10-08 · Read on arXiv

cs.CV

Submitted: 2026-10-08

Updated: 2026-10-08

Terminology

• Fidelity — 32× in this paper · explained in 2 episodes
• Benchmark — 6× in this paper · explained in 2 episodes
• Consistency — 5× in this paper · explained in 3 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Adaptive Weighting — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Analyzer — 1× in this paper · explained in 1 episode
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Multi-objective Optimization — 1× in this paper · explained in 4 episodes
• Nash Equilibrium — 1× in this paper · explained in 2 episodes
• Normalizing Flow — 1× in this paper · explained in 3 episodes
• Perceptual Alignment — 1× in this paper · explained in 2 episodes

Sources

• The Llama 3 Herd of Models
• LLMs as In-Context Meta-Learners for Model and Hyperparameter Selection
• Mistral 7B
• Toward Real-world Single Image Deraining: A New Benchmark and Beyond
• Large Language Model Agent for Hyper-Parameter Optimization
• Deep Retinex Decomposition for Low-Light Enhancement
• AutoLoss: Learning Discrete Schedules for Alternate Optimization
• Qwen2.5 Technical Report
• TextGrad: Automatic "Differentiation" via Text

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